RSSI centroid node location algorithm based on chimpanzee optimization

Duo Peng; Ruixia Gao; Suoping Li

doi:10.1117/12.2679177

25 May 2023 RSSI centroid node location algorithm based on chimpanzee optimization

Duo Peng, Ruixia Gao, Suoping Li

Proceedings Volume 12712, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023); 127120L (2023) https://doi.org/10.1117/12.2679177
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023), 2023, Huzhou, China

Abstract

In order to improve the positioning accuracy of the centroid algorithm, this paper proposes the RSSI centroid node positioning algorithm based on chimpanzee optimization (SRSSI-CHOA). The algorithm first optimizes the received signal strength value by velocity constant filtering, and then calculates the unknown node coordinates using the distance-weighted centroid algorithm, and then constructs the fitness function based on the distance information and the obtained position information; Finally, the chimpanzee algorithm is used to find the optimal solution position and optimize the node coordinates. The simulation results show that the proposed algorithm is 30.78%, 24.42% and 8.3% lower than the RSSI - centroid, Gaussian model RSSI centroid average and RSSI-PSO algorithm.

Citation Download Citation

Duo Peng, Ruixia Gao, and Suoping Li "RSSI centroid node location algorithm based on chimpanzee optimization", Proc. SPIE 12712, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023), 127120L (25 May 2023); https://doi.org/10.1117/12.2679177

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