Wireless Sensor Network Clustering Using Particles Swarm Optimization For Reducing Energy Consumption
Amin Rostami1
and Mohammad Hossin Mottar2
1Department of Computer Engineering, Ferdows Branch, Islamic Azad University,
Ferdows , Iran.
2Department of Computer Engineering, Mashhad Branch, Islamic Azad
ABSTRACT
Wireless sensor networks (WSN) is composed of a large number of small nodes with limited functionality.
The most important issue in this type of networks is energy constraints. In this area several researches have
been done from which clustering is one of the most effective solutions. The goal of clustering is to divide
network into sections each of which has a cluster head (CH). The task of cluster heads collection, data
aggregation and transmission to the base station is undertaken. In this paper, we introduce a new approach
for clustering sensor networks based on Particle Swarm Optimization (PSO) algorithm using the optimal
fitness function, which aims to extend network lifetime. The parameters used in this algorithm are residual
energy density, the distance from the base station, intra-cluster distance from the cluster head. Simulation
results show that the proposed method is more effective compared to protocols such as (LEACH, CHEF,
PSO-MV) in terms of network lifetime and energy consumption.
Keywords
Wireless sensor networks, clustering, Energy efficient protocols, Particles Swarm optimization algorithm,
Centralized algorithms.
More Details : http://airccse.org/journal/ijmit/papers/6414ijmit01.pdf
Comments
Post a Comment