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Collaborative context management framework for mobile ad hoc network environments 10

Collaborative context management framework for mobile ad hoc...

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25th Annual ACM Symposium on Applied Computing, SAC 2010

作者： Wibisono, Waskitho Ling, Sea Zaslavsky, Arkady Caulfield School of IT Monash University Melbourne VIC Australia Department of Computer Science and Electrical Engineering Luleå University of Technology Luleå Sweden Centre for Distributed System and Software Engineering Monash University Australia

ISBN: (纸本)9781605586380

Managing context in Mobile Ad Hoc Network (MANET) environments is challenging due to environmental characteristics and limitations. Different aspects of context management such as location management, context acquisition, context quality management, context discovery and other related tasks need to be dealt with to provide reliable context management support. In this paper, we propose a new approach to context management in the MANET environments. We model contexts and situations based on Context Spaces (CS) theory and the Dempster-Shafer (DS) theory of evidences. A heuristic approach to computing the relevancy value of context information to the defined situation of context-aware applications is also proposed and developed. The relevancy value is then incorporated in the fusion mechanism based on the discount rule. We have developed a hybrid location model and integrated the approach to the model. The prototype of the framework is built based on the On-Demand Multicast Routing Protocol (ODMRP) as the underlying messaging protocol among the collaborative hosts. Finally, the implementation and experimentation issues of the prototype are discussed. © 2010 ACM.

关键词： Mobile ad hoc networks

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Real time traffic congestion degree computation for minor sensorless roads using cost efficient context reasoning

Real time traffic congestion degree computation for minor se...

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International IEEE Conference on Intelligent Transportation systems

作者： Raphiphan, Panraphee Prathombutr, Passakon Zaslavsky, Arkady Meesad, Phayung Caulfield School of Information Technology Monash University 900 Dandenong Rd Caulfield East VIC 3145 Australia 112 Thailand Science Park Phahon Yothin Rd Pathumthani 12120 Thailand Department of Computer Science and Electrical Engineering Luleå University of Technology Luleå Sweden Centre for Distributed System and Software Engineering Monash University Australia Department of Teacher Training in Electrical Education Faculty of Technical Education King Mongkut's University of Technology North Bangkok 1518 Pibulsongkram Rd Bangsue Bangkok 10800 Thailand

ISBN: (纸本)9781424476572

Traffic congestion is the cause of pollution and economic loss. The Real time traffic state report can alleviate this problem by assisting drivers for route planning and choosing unblocked roads. More traffic information could lead to more accurate route planning and greater awareness of traffic situations and road conditions for drivers. However, investment into sensor infrastructure for small minor roads is rarely available. In this paper, we present a cost efficient approach to compute real time traffic congestion degrees for non-sensor infrastructure roads, such as small minor roads, based on context fusion and context reasoning method. Our framework intends to utilize real time acquirable context instead of relying on traffic sensory data which made our approach suitable for insufficient sensor infrastructure environment. The evaluation throughout several experimentations conducted in Bangkok has proven the feasibility of our approach. Besides, the experimental result indicated that the methodology of our experiment can be used as an alternative cost efficient tool for infrastructure investment decision making. ©2010 IEEE.

关键词： Traffic congestion

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