An improved particle swarm optimization algorithm for power-efficient wireless sensor networks

Tools

Yang, Erfu and Erdogan, Ahmet T. and Arslan, Tughrul and Barton, Nick; Stoica, Adrian and Arslan, Tughrul and Howard, Daniel and Kim, Tai-Hoon and El-Rayis, Ahmed, eds. (2008) An improved particle swarm optimization algorithm for power-efficient wireless sensor networks. In: ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security, 2007. BLISS 2007. IEEE Computer Society Press, GBR, pp. 76-79. ISBN 9780769529196 (https://doi.org/10.1109/BLISS.2007.19)

Full text not available in this repository.Request a copy

Abstract

This paper presents an improved particle swarm optimization (PSO) algorithm for onboard embedded applications in power-efficient wireless sensor networks (WSNs) and WSN-based security systems. The objective is to keep the main advantages of the standard PSO algorithm, such as simple form, easy implementation, low algorithmic complexity, and low computational burden while the performance and efficiency can be significantly improved. Numerical experiments are performed on a very difficult benchmark function to validate the performance of the improved PSO algorithm. The results show that the improved PSO algorithm outperforms the standard PSO algorithm.

ORCID iDs

Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950, Erdogan, Ahmet T., Arslan, Tughrul and Barton, Nick; Stoica, Adrian, Arslan, Tughrul, Howard, Daniel, Kim, Tai-Hoon and El-Rayis, Ahmed
CORE (COnnecting REpositories)