In:
International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, Vol. 8, No. 2 ( 2018-04-01), p. 1084-
Abstract:
Clustering is one of the operations in the wireless sensor network that offers both streamlined data routing services as well as energy efficiency. In this viewpoint, Particle Swarm Optimization (PSO) has already proved its effectiveness in enhancing clustering operation, energy efficiency, etc. However, PSO also suffers from a higher degree of iteration and computational complexity when it comes to solving complex problems, e.g., allocating transmittance energy to the cluster head in a dynamic network. Therefore, we present a novel, simple, and yet a cost-effective method that performs enhancement of the conventional PSO approach for minimizing the iterative steps and maximizing the probability of selecting a better clustered. A significant research contribution of the proposed system is its assurance towards minimizing the transmittance energy as well as receiving energy of a cluster head. The study outcome proved proposed a system to be better than conventional system in the form of energy efficiency.
Type of Medium:
Online Resource
ISSN:
2088-8708
,
2088-8708
DOI:
10.11591/ijece.v8i2.pp1084-1091
Language:
Unknown
Publisher:
Institute of Advanced Engineering and Science
Publication Date:
2018
detail.hit.zdb_id:
2667127-X
Permalink
