Title :
An Improved Particle Swarm Optimization Algorithm for Power-Efficient Wireless Sensor Networks
Author :
Yang, Erfu ; Erdogan, Ahmet T. ; Arslan, Tughrul ; Barton, Nick
Author_Institution :
Univ. of Edinburgh, Edinburgh
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.
Keywords :
particle swarm optimisation; telecommunication security; wireless sensor networks; onboard embedded application; particle swarm optimization; power-efficient wireless sensor network; security system; Evolutionary computation; Intelligent networks; Intelligent sensors; Monitoring; Particle swarm optimization; Power engineering and energy; Power system security; Sensor systems; System-on-a-chip; Wireless sensor networks;
Conference_Titel :
Bio-inspired, Learning, and Intelligent Systems for Security, 2007. BLISS 2007. ECSIS Symposium on
Conference_Location :
Edinburgh
Print_ISBN :
0-7695-2919-4
DOI :
10.1109/BLISS.2007.19