Agent-based Fault Detection Mechanism in Wireless Sensor Networks

Recently, agent-based approaches are considered as an appropriate solution to address the issue of the overwhelming data traffic in Wireless Sensor Networks (WSNs). Theoretically, these approaches would eliminate the redundancy and achieve substantial energy gain. However, in practice, the reliabili...

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Vydané v:Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology s. 31 - 34
Hlavní autori: Shakshuki, Elhadi, Xing, Xinyu, Zhang, Haiyi
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Washington, DC, USA IEEE Computer Society 02.11.2007
Edícia:ACM Conferences
Predmet:
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Intelligent agents
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation
Mathematics of computing > Discrete mathematics > Graph theory > Trees
Networks > Network protocols > Network layer protocols > Routing protocols
Networks > Network types > Mobile networks
Networks > Network types > Wireless access networks
Theory of computation > Theory and algorithms for application domains > Machine learning theory > Inductive inference
ISBN:0769530273, 9780769530277
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Shrnutí:Recently, agent-based approaches are considered as an appropriate solution to address the issue of the overwhelming data traffic in Wireless Sensor Networks (WSNs). Theoretically, these approaches would eliminate the redundancy and achieve substantial energy gain. However, in practice, the reliability of sensor devices has been recognized as one of the crucial issues in wireless sensor networks. Using agents at the sensor devices may provide more efficient energy consumption. But, micro-sensors are subject to high-frequency faults in distributed environments. Towards this end, we propose agent-based system architecture with fault-detection inference engine based on reverse multicast tree to evaluate sensor nodes' fault probabilities. Due to the characteristics of wireless sensor networks (energy awareness, constraint bandwidth and so on); it is infeasible to require each sensor to announce its working state to a centralized terminal node. Therefore, we formulate the agent's inference engine as nondeterministic finite accepter and adopt iterative computation to infer the fault probability of nodes in reverse multicast tree.
ISBN:0769530273
9780769530277
DOI:10.1109/IAT.2007.25