ambient and context-aware services
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Journal of Computer and System Sciences ••• (••••) •••–•••
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Journal of Computer and System Sciences
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Foreword
Ambient and context-aware services
This special issue is based on the best papers from the 4th International Conference on Ambient Systems, Networks and Technologies (ANT 2013), which was held at Halifax, Nova Scotia, Canada, June 25–28, 2013. The conference attracted a large number of scientific papers that contributed to the state-of-the-art in the areas of pervasive and ambient information systems. All the papers selected for this special issue have undergone two rounds of rigorous review process. Based on the reviewers’ feedback, as well as the evaluations of the Guest Editors, eight papers were selected for this special issue from 12 invited submissions, extended from the best papers of ANT 2013. The accepted papers cover interesting works on new developments in ambient and networked systems such as wireless sensor network optimization and personalization, adjustable routing protocol, adaptive Web services, dynamic multi-robot team formation, optimal carpooling assignment, RFID interactive tabletop, and DBMS peak power modeling.
The first paper by Sahli, Jabeura, and Badra, “Agent-based framework for sensor-to-sensor personalization”, presents an agent-based framework where wireless sensor nodes delegate static or mobile software agents to collect data about the neighboring sensors and the spatial characteristics of their surrounding environments. This framework has the potential to make the routing process more convenient for relying nodes in terms of energy consumption and security. The paper by Abid, Belghith, and Drira, “SARP: A dynamically readjustable period size proactive routing protocol for MANETs”, pro-poses a routing scheme that tracks network topology changes and adjusts the current routing period size to achieve better performance. The scheme is based on a distributed algorithm that collects the network cartography which is then used to self-regulate the routing period size. The paper by Alkhdour et al., “A cross layer optimization modeling for a periodic WSN application”, proposes a joint energy efficient routing with minimum delay scheduling optimization model based on Integer Linear Program (ILP) for wireless sensor network (WSN) with periodic application.
The paper by Yu et al., “Model-driven development of adaptive web service processes with aspects and rules”, describes a novel model-driven approach to support the development of dynamically adaptive BPEL-based web service systems. A spe-cial process modeling language with dynamically changeable constructs and an ontology enhanced business rule language are proposed with an aspect-oriented method to weave them into dynamically adaptive systems. The paper by Gunn and Anderson, “Dynamic heterogeneous team formation for robotic urban search and rescue”, proposes a framework for coordi-nating a changing collection of heterogeneous robots operating in complex and dynamic environments. The framework can help a team reshape itself to compensate for lost or failed robots and also allows new teams to be formed dynamically. The paper by Knapen et al., “Scalability issues in optimal assignment for carpooling”, proposes an automatic web-based global carpooling matching service, which is based on an estimate of the probability for successful negotiation between the candidates to carpool, for matching commuting trips. The study holds many potentials such as cost saving and pollution reduction.
Finally, the paper by Lebrun et al., “A model for managing interactions between tangible and virtual agents on an RFID interactive tabletop: Case study in traffic simulation”, introduces new concepts for managing interaction platforms and pro-poses a global interaction model based on RFID technology, which simultaneously incorporates both virtual and tangible entities, that associates multi-agent system concepts with interactive table entities. The paper by Yang et al., “Peak power modeling for join algorithms in DBMS”, presents power prediction models to estimate the peak power of the core oper-ator join in query processing. The models are constructed with the piecewise fitting and continuous fitting methods by correlating CPU-boundedness with peak power. The models have been validated to be promising with low mean relative errors.
The guest editors would like to take this opportunity to thank all the authors for the efforts they put in the preparation of their manuscripts and for their valuable contributions. We wish to express our deepest gratitude to the referees who provided very useful and thoughtful feedback to our authors. Our sincere thanks goes to the Editor-in-Chief, Professor
http://dx.doi.org/10.1016/j.jcss.2014.11.0040022-0000/© 2014 Published by Elsevier Inc.
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2 Foreword
Edward Blum, who passed away during the process of this special issue, for his kind support and encouragements. Finally, we would like to also thank the interim Editor-in-Chief, Prof. Michael Segal, of Computer and System Sciences Journal for his kind support and advice to finalize this special issue.
Quan Z. ShengSchool of Computer Science, The University of Adelaide, Adelaide, SA 5005, Australia
E-mail address: [email protected]
Elhadi M. ShakshukiJodrey School of Computer Science, Acadia University, Wolfville, Canada
E-mail address: [email protected]
7 October 2014Available online xxxx