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Summary: An Improved Particle Swarm Optimization Algorithm for Power-Efficient
Wireless Sensor Networks
Erfu Yang1
, Ahmet T. Erdogan1
, Tughrul Arslan1
, and Nick Barton2
1. School of Engineering and Electronics 2. School of Biological Sciences
The University of Edinburgh
King's Buildings, Edinburgh EH9 3JL, United Kingdom
{E.Yang, Ahmet.Erdogan, T.Arslan, N.Barton}@ed.ac.uk
Abstract
This paper presents an improved particle swarm opti-
mization (PSO) algorithm for onboard embedded applica-
tions 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 com-
plexity, and low computational burden while the perfor-
mance and efficiency can be significantly improved. Numer-
ical experiments are performed on a very difficult bench-
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