An Improved Particle Swarm Optimization Algorithm for Power-Efficient Wireless Sensor Networks

Authors:
Erfu Yang;Ahmet T. Erdogan;Tughrul Arslan;Nick Barton
Affiliations:
The University of Edinburgh, United Kingdom;The University of Edinburgh, United Kingdom;The University of Edinburgh, United Kingdom;The University of Edinburgh, United Kingdom
Venue:
BLISS '07 Proceedings of the 2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security
Year:
2007

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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.