Title: A node screening algorithm for wireless sensor network based on threshold measurement

Authors: Bin Wu; Xiao Yi; Dongning Zhao

Addresses: Naval Aviation University, Yantai, China ' Naval Aviation University, Yantai, China ' Shenzhen Vetose Technology Co., Ltd., Shenzhen, China

Abstract: The normal operation of nodes ensures the realisation of network functions. When abnormal nodes appear in the network, the network may be in chaos. A node screening algorithm based on threshold measurement is proposed to solve the problem of nodes screening in wireless sensor networks. First, the membership and non-membership of nodes are determined by using the correlation distance values calculated by the node attribute vector constructed through quantised node network attributes and the threshold vector. Second, an intuitionistic fuzzy set is constructed by the membership. Finally, the screening of wireless sensor network nodes is completed through similarity function. Simulation experiment and analysis show that this algorithm dramatically improves the detection probability compared with the node detection algorithm based on fuzzy theory.

Keywords: wireless sensor network; WSN; node monitoring; fuzzy theory; membership; non-membership; hesitant fuzzy sets.

DOI: 10.1504/IJICS.2022.122382

International Journal of Information and Computer Security, 2022 Vol.17 No.3/4, pp.424 - 437

Received: 08 Jun 2019
Accepted: 31 Jul 2019
Published online: 22 Apr 2022 *

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