Research Article
A Fuzzy Tree System Based on Cuckoo Search Algorithm for Target Tracking in Wireless Sensor Network
@INPROCEEDINGS{10.1007/978-3-030-57115-3_23, author={Qing Xia and Junjun Lin and Qiang Liu and Supeng Leng}, title={A Fuzzy Tree System Based on Cuckoo Search Algorithm for Target Tracking in Wireless Sensor Network}, proceedings={Bio-inspired Information and Communication Technologies. 12th EAI International Conference, BICT 2020, Shanghai, China, July 7-8, 2020, Proceedings}, proceedings_a={BICT}, year={2020}, month={8}, keywords={Wireless Sensor Network Cuckoo search algorithm Target tracking Fuzzy logic}, doi={10.1007/978-3-030-57115-3_23} }- Qing Xia
Junjun Lin
Qiang Liu
Supeng Leng
Year: 2020
A Fuzzy Tree System Based on Cuckoo Search Algorithm for Target Tracking in Wireless Sensor Network
BICT
Springer
DOI: 10.1007/978-3-030-57115-3_23
Abstract
Wireless Sensor Network (WSN) consists of sensors with small volume and limited power. These sensors can communicate with each other and fuse data to make different decisions. Target tracking is an important application in wireless sensor network. How to schedule nodes for tracking the moving target and how to improve the tracking accuracy are the problems that we face. In this paper, we introduce a fuzzy tree system in target tracking. The fuzzy tree system is composed of two layers, in which the first one is to decide which nodes to move and the second one is to decide the distance and angle. All the parameters are tuned by the Cuckoo Search algorithm (CS). We performed a large number of simulations in choosing different numbers of the moving nodes. The results of my experimental data show that the adaptive fuzzy system has a good effect on target tracking, and the Cuckoo Search algorithm outperforms the algorithms widely used now in tuning the parameters.
