Fault reconnaissance agent for sensor networks

Elhadi M. Shakshuki, Xinyu Xing, Tarek R. Sheltami

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)229-247
Number of pages19
JournalMobile Information Systems
Volume6
Issue number3
DOIs
Publication statusPublished - 2010

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications

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