文章基本信息

标题：Fault Reconnaissance Agent for Sensor Networks
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作者：Elhadi M. Shakshuki, Xinyu Xing ; Tarek R. Sheltami
期刊名称：Mobile Information Systems
印刷版ISSN：1574-017X
出版年度：2010
卷号：6
DOI：10.3233/MIS-2010-0101
出版社：Hindawi Publishing Corporation
摘要：One of the key prerequisite for a scalable, effective and efficient sensor network is the utilization of low-cost, low-overhead and high-resilient fault-inference techniques. To this end, we propose an intelligent agent system with a problem solving capability to address the issue of fault inference in sensor network environments. The intelligent agent system is designed and implemented at base-station side. The core of the agent system – problem solver – implements a fault-detection inference engine which harnesses Expectation Maximization (EM) algorithm to estimate fault probabilities of sensor nodes. To validate the correctness and effectiveness of the intelligent agent system, a set of experiments in a wireless sensor testbed are conducted. The experimental results show that our intelligent agent system is able to precisely estimate the fault probability of sensor nodes.