Authors : Molod Ameri and Ibrahim Bahrozian Nezhad
Abstract: As the technology is developing, the issue of classification and clustering in wireless sensor networks is becoming increasingly significant. In this direction, the algorithms of optimization inspired by the nature have come to exist to promote the classic methods and they have already developed significantly. In this study, a novel algorithm of optimization called imperialist competitive algorithm is introduced which it is not a natural phenomenon but is a social-political phenomenon inspired by mankind. It divides such variables as centrality, distance and residual energy of initial population into two groups of imperialist and colony and begins the competition to be clustered in the wireless sensor networks. In this research, in order to make the clustering more uniform and lower the energy consumption of network, a parameter of number of neighbor node is recommended for this algorithm. By evaluation, it is revealed that this parameter improves network lifetime by 4%.
Molod Ameri and Ibrahim Bahrozian Nezhad, 2016. Presenting a Clustering Method Based on Imperialist Competitive Algorithm for Increasing the Lifetime of Wireless Sensor Networ. International Journal of Signal System Control and Engineering Application, 9: 141-148.