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Journal of Artificial Intelligence and Data Mining، جلد ۳، شماره ۱، صفحات ۴۷-۵۷
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عنوان انگلیسی FDMG: Fault detection method by using genetic algorithm in clustered wireless sensor networks
چکیده انگلیسی مقاله Wireless sensor networks (WSNs) consist of a large number of sensor nodes which are capable of sensing different environmental phenomena and sending the collected data to the base station or Sink. Since sensor nodes are made of cheap components and are deployed in remote and uncontrolled environments, they are prone to failure; thus, maintaining a network with its proper functions even when undesired events occur is necessary which is called fault tolerance. Hence, fault management is essential in these networks. In this paper, a new method has been proposed with particular attention to fault tolerance and fault detection in WSN. The performance of the proposed method was simulated in MATLAB. The proposed method was based on majority vote which can detect permanently faulty sensor nodes with high detection. Accuracy and low false alarm rate were excluded them from the network. To investigate the efficiency of the new method, the researchers compared it with Chen, Lee, and hybrid algorithms. Simulation results indicated that the novel proposed method has better performance in parameters such as detection accuracy (DA) and a false alarm rate (FAR) even with a large set of faulty sensor nodes.
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نویسندگان مقاله a غفاری |
department of computer engineering, tabriz branch, islamic azad university, tabriz, iran
سازمان اصلی تایید شده: دانشگاه آزاد اسلامی علوم و تحقیقات (Islamic azad university science and research branch)

s نوبهاری |
department of computer engineering, tabriz branch, islamic azad university, tabriz, iran
سازمان اصلی تایید شده: دانشگاه آزاد اسلامی علوم و تحقیقات (Islamic azad university science and research branch)

نشانی اینترنتی http://jad.shahroodut.ac.ir/article_387_a0af6559fb3873335350c01a274ad2cd.pdf
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