Title: Study on drift identification of distributed beacon nodes in WSN

Authors: Jing Qiu; Yucai Zhou

Addresses: School of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China ' School of Energy and Power, Changsha University of Science and Technology, Changsha 410076, China

Abstract: In order to solve the problems of large routing overhead, low identification accuracy and long identification time of traditional node drift identification methods, a drift identification method of distributed beacon nodes in WSN is proposed. In this paper, the multi-classification detection method is used to detect the distributed beacon nodes in WSN, and the behaviour analysis model of the nodes is constructed. According to the results of node behaviour analysis, the direct neighbour node and INFO are defined, and then a node identification list is constructed to identify the drift information of two hop info nodes, which is forwarded clearly. The distributed beacon node drift identification is realised by the node identification list. Experimental results show that the average routing overhead of this method is 31.8 metric, the recognition accuracy is always more than 90%, and the recognition time is always less than 1.2 s, the practical application effect is good.

Keywords: WSN; distributed; beacon node; drift recognition; node attribute.

DOI: 10.1504/IJRIS.2022.10048823

International Journal of Reasoning-based Intelligent Systems, 2022 Vol.14 No.2/3, pp.73 - 83

Received: 11 Aug 2021
Accepted: 29 Apr 2022

Published online: 09 Sep 2022 *

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