I’m a Lecturer in the School of Information, Systems and Modelling (ISM) and a core member of the Centre on Persuasive Systems for Wise Adaptive Living (PERSWADE) at the University of Technology Sydney (Australia).
I'm teaching in the area of Information Systems and my research is currently focusing on the application of Computer and Data Science techniques and methods to multi-disciplinary fields, such as Sustainability, Climate Change and Decision Making.
Previously, after a short experience as a Software Engineer, I have held research-focused positions at leading institutions in Spain, New Zealand, France and Australia. I received a M.Sc. degree in Computer Engineering from Universita' della Calabria (Italy) in 2005 and a Ph.D. (Cum Laude) in Telematics from Universidad Politecnica de Valencia (Spain) in 2011.
I have authored/co-authored well over 40 research papers, as well as I have been involved in more than 10 funded collaborative research projects.
- 2018. Open Knowledge Graphs in the UTS Data Arena - funded by the University of Technology Sydney
Featured Reviewer - ACM Computing Reviews
Best Paper Award - 2006 International Conference on Wireless and Mobile Communications (ICWMC 2006)
Can supervise: YES
- Knowledge Representation and Reasoning
- Knowledge-based Systems
- Semantic Technology / Semantic Web
- Conceptual Modeling
- Data Engineering
- Data Integration, Analysis and Visualization
- Information Systems
I have taught different subjects in the fields of Software and Data Engineering.
I'm currently teaching in the area of Information Systems:
- Business Systems Design (postgraduate, UTS code: 32559)
- Fundamentals of Databases and Software Development (postgraduate, UTS code: 32559)
Is the World becoming a better or a worse place to live? In this paper, we propose a tool that can help to answer the question by combining a number of global indicators belonging to multiple categories. The proliferation of statistical data about various aspects of the World performance may suggest that it should be “easy” to evaluate the overall success of human enterprise on this planet. Moreover, it also points out the intrinsic importance in the selection of indicators. However, people have different values, biases, and preferences about the importance of various indicators, making it almost impossible to find an objective answer to this question. To address the variety and the heterogeneity of available indicators and world views, we present the analysis of global World performance as a multi-criteria decision problem, making sure that the assessment method remains as transparent as possible. By dynamically selecting a set of indicators of interest, defining the weights that we attach to various indicators and specifying the desired trends associated with each indicator, we make the assessment adaptive to individual values. We also try to deal with the inherent bias that may exist in the set of indicators that are chosen. As a study case, from various data sets that are openly available online, we have selected several that are most relevant and easy to interpret in the context of the question in the title of the paper. We demonstrate how the choice of personal preferences, or weights, can strongly change the result. Our method also provides analysis of the weights space, showing how results for particular value sets compare to the average and extreme (optimistic and pessimistic) combinations of weights that may be chosen by users.
© 2016 Elsevier B.V. Despite the achieved maturity and popularity, the current semantic technology has severe limitations in real-world applications as it is unable to represent uncertain knowledge. Probabilistic Semantics partially address this issue. Unfortunately, their quantitative approach fails in many practical applications that require a more abstracted vision and conceptual model of the uncertainties. Indeed, Probabilistic Semantics can only model ecosystems where all the uncertainties are quantified. In this paper, we introduce a qualitative approach for the representation of the uncertainties in the Semantic Web. We propose a human-inspired model that defines the uncertainty as an explicit similarity, providing a flexible range of solutions for approximate semantic reasoning in uncertain ecosystems. The resulting semantic environment, referred to as Web of Similarity (WoS), is an extension of the Web of Data which is able to represent and process analogies among concepts and individuals. As the generic Semantic Web, the Web of Similarity is a global semantic infrastructure that can support specific systems or applications at a global scale. WoS is a step forward to get richer Web Semantics which are closer to the human ones.
Pileggi, SF & Voinov, A 2019, 'PERSWADE-CORE: a core ontology for communicating socio-environmental and sustainability science', IEEE Access, vol. 7, pp. 127177-127188.View/Download from: Publisher's site
Pileggi, SF 2018, 'Looking deeper into academic citations through network analysis: popularity, influence and impact', Universal Access in the Information Society, vol. 17, pp. 541-548.View/Download from: Publisher's site
© 2017 Springer-Verlag GmbH Germany Google Scholar (GS) has progressively emerged as a tool which “provides a simple way to broadly search for scholarly literature across many disciplines and sources.” As a free tool that provides citation metrics, GS has opened the academic word to a much larger audience, according to an open information philosophy. GS’ profiles are largely used not only to have a quick look at the authors and their works but, more and more often, as a “de facto” metric to quickly evaluate the research impact. This process looks unstoppable and discussing about its fairness, advantages and disadvantages, as well as about social implications is out of the scope of this paper. We rather prefer to (1) briefly discuss the changes and the innovation that GS has introduced and to (2) propose possible improvements for analysis on academic citations. Our methods are aimed at considering a GS profile in its proper context, providing a social perspective on academic citations: Although maintaining a fundamentally quantitative focus, novel approaches, based on complex network analysis, distinguish between a research impact on the authors’ research network and a more general impact on the scientific community.
Zhu, G, Corcoran, J, Shyy, P, Pileggi, SF & Hunter, J 2018, 'Analysing journey-to-work data using complex networks', Journal of Transport Geography, vol. 66, pp. 65-79.View/Download from: Publisher's site
© 2017 Elsevier Ltd It is well known that journey-to-work (JTW) data can be represented using complex network graphs. What is less evident is the way in which this approach can be used to quantitatively analyse the structure, connectivity and dynamics of commuting behaviour. This paper employs a complex network approach to spatially disaggregated JTW data in order to examine commuting behaviour for six different modes of transport (car, car passengers, train, bus, cycling and walking) within three of the most populous metropolitan areas in Australia. A set of network measures (degree, strength, clustering coefficient, maximum cliques, average shortest path length and betweenness) are computed from both the unweighted and weighted graphs corresponding to JTW data for the Sydney, Melbourne and the South East Queensland regions from the time periods: 2001, 2006 and 2011. Results reveal a number of interesting dynamics, one being that Melbourne exhibits shorter (and presumed to be faster) alternate commuting paths than either Sydney or South East Queensland given its lower betweenness and shortest path values allied with higher clustering coefficients. The interpretation of these metrics demonstrates that complex networks have the capacity to reveal new insights from JTW data, by enabling a more comprehensive, systematic, empirical and fine-grained analysis of changes in commuting behaviour over time.
© 2017 The Authors. Published by Elsevier B.V. Urban indicators provide a unique multi-disciplinary data framework which social scientists, planners and policy makers employ to understand and analyze the complex dynamics of metropolitan regions. Indicators provide an independent, quantitative measure or benchmark of an aspect of an urban environment, by combining different metrics for a given region. While the current approach to urban indicators involves the systematic accurate collection of the raw data required to produce reliable indicators and the standardization of well-known commonly accepted or widely adopted indicators, the next generation of indicators is expected to support a more dynamic, customizable, fine-grained approach to indicators, via a context of interoperability and linked open data. Within this paper, we address these emerging requirements through an ontological approach aimed at (i) establishing interoperability among heterogeneous data sets, (ii) expressing the high-level semantics of the indicators, (iii) supporting indicator adaptability and dynamic composition for specific applications and (iv) representing properly the uncertainties of the resulting ecosystem.
Molina, B, Pileggi, SF, Esteve, M & Palau, CE 2009, 'A negotiation framework for content distribution in mobile transient networks', JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, vol. 32, no. 5, pp. 1000-1011.View/Download from: Publisher's site
Pileggi, SF, 'Optimistic Scheduling: facilitating the collaboration by prioritizing the individual needs', EAI Endorsed Transactions on Collaborative Computing, vol. 1, no. 6, pp. 150821-150821.View/Download from: Publisher's site
Pileggi, SF, Indorf, M, Nagi, A & Kersten, W, 'CoRiMaS—An Ontological Approach to Cooperative Risk Management in Seaports', Sustainability, vol. 12, no. 11, pp. 4767-4767.View/Download from: Publisher's site
For today’s global value chains, seaports and their operations are indispensable components. In many cases, the cargo handling takes place in close proximity to residential and/or environmentally sensitive areas. Furthermore, seaports are often not operated by a single organization, but need to be considered as communities of sometimes hundreds of internal and external stakeholders. Due to their close cooperation in the cargo handling process, risk management should be a common approach among the internal stakeholders as well in order to effectively mitigate and respond to emerging risks. However, empirical research has revealed that risk management is often limited to the organization itself, which indicates a clear lack of cooperation. Primary reasons in this regard are missing knowledge about the relations and responsibilities within the port and differing terminologies. Therefore, we propose an ontology (CoRiMaS) that implements a developed reference model for risk management that explicitly aims at seaports with a cooperative approach to risk management. CoRiMaS has been designed looking at the Semantic Web and at the Linked Data model to provide a common interoperable vocabulary in the target domain. The key concepts of our ontology comprise the hazard, stakeholder, seaport, cooperation aspect, and risk management process. We validated our ontology by applying it in a case study format to the Port of Hamburg (Germany). The CoRiMaS ontology can be widely applied to foster cooperation within and among seaports. We believe that such an ontological approach has the potential to improve current risk management practices and, thereby, to increase the resilience of operations, as well as the protection of sensitive surrounding areas.
© Springer Science+Business Media New York 2015. m-Health services are increasing its presence in our lives due to the high penetration of new smartphone devices. This new scenario proposes new challenges in terms of information accessibility that require new paradigms which enable the new applications to access the data in a continuous and ubiquitous way, ensuring the privacy required depending on the kind of data accessed. This paper proposes an architecture based on cloud computing paradigms in order to empower new m-Health applications to enrich their results by providing secure access to user data.
Pileggi, SF, Crain, H & Yahia, SB 2020, 'An Ontological Approach to Knowledge Building by Data Integration', International Conference on Computational Science, Amsterdam.View/Download from: Publisher's site
Alyami, A, Pileggi, SF & Hawryszkiewycz, I 2020, 'The Impact of New Technologies on Learning: A Literature review on Mobile Collaborative Learning', Paci c Asia Conference on Information Systems, Dubai, UAE.
Anjum, M, Voinov, A, Castilla Rho, J & Pileggi, SF 2019, 'Understanding mental models through a moderated framework for serious discussion', 23rd International Congress on Modelling and Simulation, Canberra.
Pileggi, SF, Peña, FC, Villamil, MDP & Beydoun, G 2019, 'Analysing the Trade-Off Between Computational Performance and Representation Richness in Ontology-Based Systems', ICCS 2019: Computational Science – ICCS 2019, International Conference on Computational Science, Springer, Faro, Portugal, pp. 237-250.View/Download from: Publisher's site
As the result of the intense research activity of the past decade, Semantic Web technology has achieved a notable popularity and maturity. This technology is leading the evolution of the Web via interoperability by providing structured metadata. Because of the adoption of rich data models on a large scale to support the representation of complex relationships among concepts and automatic reasoning, the computational performance of ontology-based systems can significantly vary. In the evaluation of such a performance, a number of critical factors should be considered. Within this paper, we provide an empirical framework that yields an extensive analysis of the computational performance of ontology-based systems. The analysis can be seen as a decision tool in managing the constraints of representational requirements versus reasoning performance. Our approach adopts synthetic ontologies characterised by an increasing level of complexity up to OWL 2 DL. The benefits and the limitations of this approach are discussed in the paper.
Pileggi, SF 2018, 'A Human-Inspired Model to Represent Uncertain Knowledge in the Semantic Web', Computational Science – ICCS 2018 (LNCS), International Conference on Computational Science, Springer, Wuxi, China, pp. 254-268.View/Download from: Publisher's site
© 2018, Springer International Publishing AG, part of Springer Nature. One of the most evident and well-known limitations of the Semantic Web technology is its lack of capability to deal with uncertain knowledge. As uncertainty is often part of the knowledge itself or can be inducted by external factors, such a limitation may be a serious barrier for some practical applications. A number of approaches have been proposed to extend the capabilities in terms of uncertainty representation; some of them are just theoretical or not compatible with the current semantic technology; others focus exclusively on data spaces in which uncertainty is or can be quantified. Human-inspired models have been adopted in the context of different disciplines and domains (e.g. robotics and human-machine interaction) and could be a novel, still largely unexplored, pathway to represent uncertain knowledge in the Semantic Web. Human-inspired models are expected to address uncertainties in a way similar to the human one. Within this paper, we (i) briefly point out the limitations of the Semantic Web technology in terms of uncertainty representation, (ii) discuss the potentialities of human-inspired solutions to represent uncertain knowledge in the Semantic Web, (iii) present a human-inspired model and (iv) a reference architecture for implementations in the context of the legacy technology.
Pileggi, S & Hunter, J 2017, 'An Ontology-Based, Linked Open Data Framework to support the Publishing, Re-use and Dynamic Calculation of Urban Planning Indicators', 15th International Conference on Computers in Urban Planning and Urban Management, Adelaide, Australia.
Pileggi, SF 2015, 'A Privacy-Friendly Model for an Efficient and Effective Activity Scheduling Inside Dynamic Virtual Organizations', COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS, AND WORKSHARING, COLLABORATECOM 2015, 11th EAI International Conference on Collaborative Computing - Networking, Applications and Worksharing, SPRINGER, Wuhan, PEOPLES R CHINA, pp. 303-308.View/Download from: Publisher's site
© The Authors. Published by Elsevier B.V. This paper proposes a concise overview of Probabilistic Semantics according to a technology-oriented perspective. Indeed, while the progressive consolidation of Semantic Technology in a wide context and on a large scale is going to be a fact, the non-deterministic character of many problems and environments suggests the rise of additional researches around semantics to integrate the mainstream. Probabilistic extensions and their implications to the current semantic ecosystems are discussed in this paper with an implicit focus on the Web and its evolution. The critical literature review undertaken shows valuable theoretical works, effective applications, evidences of an increasing research interest as the response to real problems, as well as largely unexplored research areas.
Pileggi, SF 2015, 'An individual-centric probabilistic extension for OWL: Modelling the Uncertainness', INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE, 15th Annual International Conference on Computational Science (ICCS), ELSEVIER SCIENCE BV, Reykjavik Univ, Reykjavik, ICELAND, pp. 1742-1751.View/Download from: Publisher's site
Pileggi, SF & Amor, R 2014, 'Modelling Metropolitan Activity through Abductive Reasoning on Geographic Space', 2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (CIT), IEEE International Conference on Computer and Information Technology (CIT 2014), IEEE, Xian, PEOPLES R CHINA, pp. 783-788.View/Download from: Publisher's site
During the past years, the cloud vision at distributed systems progressively became the new trend for the next generation platforms. The advance in the technology, both with the broadband availability and the explosion of mobile computing, make the massive migration to cloud solution next to be a fact. The Cloud model assures a new technologic and business environment for services and applications where competitiveness, scalability and sustainability converge. On the other hand, next generation applications have to be able to pervasively meet the needs and requirements deeply different among them. Applications involving complex virtual organizations require a higher level of flexibility. An effective approach is based on the convergence between migration and virtualization. The resource-centric model assumes file systems, DBs, services and any other class of resources available in the "cloud" as Virtual Resources. These heterogeneous resources can be managed in a unique virtual context regardless by the infrastructures on which they are deployed. Semantics play a critical role in order to assure advanced and open solutions in a technologic context featured by a fundamental lack of standardization. © Springer-Verlag Berlin Heidelberg 2013.
Pileggi, SF, Calvo-Gallego, J & Amor, R 2013, 'Bringing semantic resources together in the cloud: From theory to application', Proceedings of International Conference on Computational Intelligence, Modelling and Simulation, pp. 113-118.View/Download from: Publisher's site
This paper deals with the added value provided by Semantic Technologies in cloud environments. In these contexts, semantics are not understood as a massive technology but as a resource in order to improve cloud platforms' capabilities in terms of interoperability, knowledge building/representation and management. The proposed approach aims at the extension of the common middleware functional layer in complex architectures through semantics. This added capability should enable (active and passive) heterogeneous resources to work together as in a unique ecosystem, as well as supporting innovative interaction models involving these resources. The ideal application could be the Smart City. © 2013 IEEE.
Pileggi, SF, Fernandez-Llatas, C & Traver, V 2013, 'Metropolitan Ecosystems among Heterogeneous Cognitive Networks: Issues, Solutions and Challenges', Communications in Computer and Information Science, pp. 323-333.View/Download from: Publisher's site
Cognitive Networks working on large scale are experimenting an increasing popularity. The interest, by both a scientific and commercial perspective, in the context of different environments, applications and domains is a fact. The natural convergence point for these heterogeneous disciplines is the need of a strong advanced technologic support that enables the generation of distributed observations on large scale as well as the intelligent process of obtained information. Focusing mostly on cognitive networks that generate information directly through sensor networks, existent solutions at level of metropolitan area are mainly limited by the use of obsolete/static coverage models as well as by a fundamental lack of flexibility respect to the dynamic features of the virtual organizations. Furthermore, the centralized view at the systems is a strong limitation for dynamic data processing and knowledge building. © Springer-Verlag Berlin Heidelberg 2013.
Pileggi, SF, Ibanez, G, Fernandez-Llatas, C & Carlos Narajo-Martinez, J 2012, 'ENABLING SEMANTIC RESOURCES IN THE CLOUD', ICAART: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1, 4th International Conference on Agents and Artificial Intelligence, SCITEPRESS, PORTUGAL, pp. 541-546.View/Download from: Publisher's site
Fernandez-Llatas, C, Bautista Mocholi, J, Sala, P, Carlos Naranjo, J, Pileggi, SF, Guillen, S & Traver, V 2011, 'Ambient Assisted Living Spaces Validation by Services and Devices Simulation', 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS), IEEE, Boston, MA, pp. 1785-1788.
Fernandez-Llatas, C, Ibanez, G, Sala, P, Pileggi, SF & Carlos Naranjo, J 2011, 'MOBILE CLOUD COMPUTING ARCHITECTURE FOR UBIQUITOUS EMPOWERING OF PEOPLE WITH DISABILITIES', ICSOFT 2011: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SOFTWARE AND DATABASE TECHNOLOGIES, VOL 1, 6th International Conference on Software and Database Technologies (ICSOFT 2011), INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, Unov Seville, Seville, SPAIN, pp. 377-382.
Fernandez-Llatas, C, Pileggi, SF, Traver, V & Benedi, JM 2011, 'Timed parallel automaton: A mathematical tool for defining highly expressive formal workflows', Proceedings - AMS 2011: Asia Modelling Symposium 2011 - 5th Asia International Conference on Mathematical Modelling and Computer Simulation, pp. 56-61.View/Download from: Publisher's site
The definition and simulation of processes using Work flow technology is becoming more and more popular. In that way, to standardize and simulate complex processes it is needed high expressive languages able to be automatically executed by computers. Currently, high expressive languages that can be used for simulation and definition of processes are based in Petri Nets technology. Nevertheless, Petri Nets are difficult to understand by processes experts with no computer science training or expertise and are more complex to be executed than other simpler approaches like finite automatons. In this paper an automata based mathematical tool with a high expressivity capacity is presented. This framework is easier to understand also by non computer science expert sand its automation is simple in order to allow to experts to define formal work flows that can be easily automated. © 2011 IEEE.
Pileggi, SF, Fernandez-Llatas, C & Meneu, T 2011, 'Evaluating mobility impact on wireless sensor network', Proceedings - 2011 UKSim 13th International Conference on Modelling and Simulation, UKSim 2011, pp. 461-466.View/Download from: Publisher's site
An increasing number of applications based on Wireless Sensor Networks assume mobile environments(Mobile WSNs). Mobile WSNs propose several converging issues with Mobile Ad-hoc Networks (MANETs) but the peculiarities of their technology and application domain advise a specific theoretical analysis of mobility impact on network connectivity. Network performance depends by several factors; there is a clear relationship between overall performance and the efficiency of network mechanisms (e.g. topology control and routing) that are directly affected by network connectivity. The paper first proposes an evaluation of randomly deployed clustered WSNs in function of network size/density, topology and communication range. Then, the mobility impact on network connectivity is analyzed and evaluated extending the analysis to overlay configuration. This evaluation has an implicit relationship with mobile behaviors. In order to provide extended analysis capabilities, an analytic model for mobile behaviors is also proposed. All reported results were obtained through simulations according to a general approach, independent from routing protocols or any other domain specific mechanisms as well as by environmental conditions. © 2011 IEEE.
Pileggi, SF, Fernandez-Llatas, C & Traver, V 2011, 'ENABLING SEMANTIC ECOSYSTEMS AMONG HETEROGENEOUS COGNITIVE NETWORKS', KEOD 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND ONTOLOGY DEVELOPMENT, International Conference on Knowledge Engineering and Ontology Development, INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, Univ Paris Est Creteil, Paris, FRANCE, pp. 487-492.
Pileggi, SF, Fernandez-Llatas, C & Traver, V 2011, 'REMOTE CONTROL AND TELE-OPERATION IN THE CLOUD', ICSOFT 2011: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SOFTWARE AND DATABASE TECHNOLOGIES, VOL 1, 6th International Conference on Software and Database Technologies (ICSOFT 2011), INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, Unov Seville, Seville, SPAIN, pp. 361-367.
Pileggi, SF 2010, 'A novel domain ontology for sensor networks', Proceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010, pp. 443-447.View/Download from: Publisher's site
Semantic Sensor Web is a progressive concept that would improve current Sensor Web model introducing a semantic layer in which the semantic or meaning of information is formally defined. Semantic environment allows a novel approach for interoperability among systems as well as new perspectives for computation (e.g. Ontology-driven and Ontology-aware). One of the central and key issues for the concrete realization of Semantic Sensor Web is the engineering of semantic knowledge for sensor systems. In this paper a novel modular extensible ontology is proposed. This semantic schema is designed according to a methodology that assumes multiple knowledge levels as well as multiples capabilities in terms of both representation and analysis. © 2010 IEEE.
Pileggi, SF, Palau, CE & Esteve, M 2010, 'Building semantic sensor web: Knowledge and interoperability', Proceedings of the International Workshop on Semantic Sensor Web, SSW 2010, in Conjunction with IC3K 2010, pp. 15-22.
Semantic Sensor Web would be an evolving extension of Sensor Web that introduces a semantic layer in which semantics or meanings of information are formally defined according to well-defined semantic schemas (Ontology). Semantics should improve the capabilities of collecting, retrieving, sharing, manipulating and analyzing sensor data (or associate phenomena) providing a new interoperability model: semantic interoperability introduces the interpretation of means of data allowing the engineering of novel architectures based on standard reasoners.
Pileggi, SF, Palau, CE & Esteve, M 2010, 'Multimode WSN: Improving Robustness, Fault Tolerance and Performance of Randomly Deployed Wireless Sensor Network', 2010 SECOND INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, COMMUNICATION SYSTEMS AND NETWORKS (CICSYN), 2nd International Conference on Computational Intelligence Communication Systems and Networks (CICSyN), IEEE COMPUTER SOC, Liverpool, ENGLAND, pp. 112-117.View/Download from: Publisher's site
Pileggi, SF, Palau, CE & Esteve, M 2010, 'On the convergence between Wireless Sensor Network and RFID: Industrial environment', WiOpt 2010 - 8th Intl. Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, pp. 430-436.
The convergence between Wireless Sensor Network and RFID technology enables the development of flexible and integrated architectures that could currently represent a competitive solution for several application scenarios. This paper proposes an advanced heterogeneous wireless network designed for industrial environments: typical sensor applications (personal and environmental parameters monitoring), RFID based services (e.g. objects identification) and convergent applications (localization and tracking) are merged. Several research topics are addressed (resource optimization, low power communication within hostile environments, etc). Proposed model would be a generalized solution that assures high performance in terms of reliability, robustness, and flexibility: main architecture component, Multi-Modal Wireless Sensor Node (MM-WSNode), is provided with multiple sensing, communication and data process resource that allows several working modes in function of environmental conditions detected.
Proposed solution is an extendible multi-domain core framework for Wireless Vehicular Sensor Network (WVSN). The key idea is providing a lightweight architecture as alternative to the typical vertical concept of domain specific ad-hoc solution: the more flexible horizontal approach assumes a core framework that can be particularized in function of considered application. Modern wireless sensor platforms are flexible smart nodes that provide relatively limited computation, storage, communication and sensing resource, ad-hoc designed for advanced networking. WVSN assumes nodes mounted on vehicles. Because limited resource that commonly characterizes WSN, protocols stacks and mechanisms are designed in accordance with a soft-state model in order to assure high-performance and robustness for time-critical messages in both vehicle-to-vehicle and vehicle-to-roadside interaction. ©2009 IEEE.
Pileggi, SF, Molina, B, Palau, CE & Esteve, M 2009, 'Movie for all (M4ALL): A live J2ME content exchange facility for mobile environments', Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009, pp. 1780-1783.View/Download from: Publisher's site
Context-aware and live multimedia content production and delivery can be considered as key issues for enabling dynamic sharing among members of living social networks. The proposed cross-platform environment, deployed on J2ME technology, enables mobile users with a suitable tool for content production, dynamic context and metadata integration and content publication directly from smart devices. Multimedia content is provided with an extensible semantic and functional data model that makes shared content easily to be catalogued, classified and managed within large scale communities. Moreover, an advanced context management model provides users with multiple options for effective content publication. Support for live streaming and potential interaction with multiple social communities makes the platform really flexible within different domains and application fields. ©2009 IEEE.
Molina, B, Pileggi, SF, Palau, CE & Esteve, M 2008, 'A social framework for content distribution in mobile transient networks', High Performance Distributed Computing - Proceedings of the 3rd International Workshop on Use of P2P, Grid and Agents for the Development of Content Networks 2008, UPGRADE'08, pp. 29-35.View/Download from: Publisher's site
Transient networks are spontaneous networks that appear for a short period of time in order to provide basic services such as connectivity and content distribution among a small community. Nowadays mobile devices are becoming multimode by nature providing multiple connection paths. This paper investigates the efficiency and benefit of a mobile transient network where multiple nodes collaborate offering a multihomed network with community services by means of intelligent agents. The paper also proposes the required architecture and negotiation protocols for such scenario with two different services: file downloading and multimedia streaming. Copyright 2008 ACM.
Pileggi, SF, Palau, CE & Esteve, M 2007, 'An adaptive and flexible fault tolerance mechanism designed on multi-behavior agents for wireless sensor/actuator network', 2007 International Conference on Sensor Technologies and Applications, SENSORCOMM 2007, Proceedings, pp. 283-288.View/Download from: Publisher's site
In the last few years, WSN has been object of an intense research activity that has determined an important improvement by technologic and computation point of view both. The notable level got and the increasing request of applications designed over Sensor Networks make WSN commercial diffusion next to be a fact. One of key issues for commercial diffusion of WSN is related to the robustness of architectures. An adaptive and flexible fault tolerant mechanism for WSN is proposed in the paper. Considering the tradeoffs between robustness and energy efficiency as central issue, a programming model based on multi-behavior agents that can guarantee an efficient, dynamic and extendible implementation is proposed too. © 2007 IEEE.
Pileggi, SF, Palau, CE & Esteve, M 2007, 'Analysis techniques and models for resource optimization in wireless sensor/actuator network environment', WIRELESS SENSOR AND ACTOR NETWORKS, 1st International Conference on Wireless Sensor and Actor Networks (WSAN'07), SPRINGER, Albacete, SPAIN, pp. 23-+.
Pileggi, SF, Palau, CE & Esteve, M 2007, 'Integrating wireless sensor network with grid computing and RFID technology for products monitoring into airports', PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORKS, 6th IASTED International Conference on Communication Systems and Networks, ACTA PRESS ANAHEIM, Palma de Mallorca, SPAIN, pp. 177-+.
Pileggi, SF, Palau, CE & Esteve, M 2006, 'Grid sensor/actuator network architecture', Second International Conference on Wireless and Mobile Communications, ICWMC 2006.View/Download from: Publisher's site
Low cost and low power sensor concept is logically extended by sensor network idea. Large-scale intelligent systems, sensor networks based, can be developed integrating sensor networks and high level distributed computational paradigms as Grid Computing. © 2006 IEEE.
- Universidad de los Andes (Colombia)
- Hamburg University of Technology (Germany)
- Tallin University of Technology (Estonia)