Towards Coverage-Aware Fuzzy Logic-Based Faulty Node Detection in Heterogeneous Wireless Sensor Networks

Detecting and handling faulty nodes is one of the main challenges in wireless sensor networks (WSNs). Most of the existing fault detection schemes rely on the data sensed by neighboring nodes, however, these schemes do not usually consider the nature of the events and the coverage issues. In this pa...

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Bibliographic Details
Published inWireless personal communications Vol. 111; no. 1; pp. 581 - 610
Main Authors Masdari, Mohammad, Özdemir, Suat
Format Journal Article
LanguageEnglish
Published New York Springer US 01.03.2020
Springer Nature B.V
Subjects
Algorithms
Communications Engineering
Computer Communication Networks
Computer simulation
Engineering
Fault detection
Fuzzy logic
Networks
Nodes
Sensors
Signal,Image and Speech Processing
Wireless networks
Wireless sensor networks
Fuzzy logic
False positives
WSN
Fault detection
Voting
True negatives
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Summary:Detecting and handling faulty nodes is one of the main challenges in wireless sensor networks (WSNs). Most of the existing fault detection schemes rely on the data sensed by neighboring nodes, however, these schemes do not usually consider the nature of the events and the coverage issues. In this paper, we present a novel distributed fuzzy logic-based faulty node detection algorithm for heterogeneous WSNs. To weight of the values sensed by the neighboring nodes, the proposed algorithm applies factors such as distance, coverage and the difference of the sensed values. By using the proposed distributed algorithm, each sensor node can correctly recognize its status at the presence of the events such as fire and transient faults. Extensive simulations results indicate the effectiveness of the proposed algorithm in reducing the false positive problems and improving detection accuracy in the fault detection process.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-019-06875-0