Proceedings of the International Congress on Information and Communication Technology

Abstract

The network density, energy consumption, and connectivity are the most important design parameters for a self-organizing wireless sensor network. This paper presents a social impact theory-based multi-objective strategy for optimizing these parameters. The proposed strategy optimizes the clustering schemes and signal strengths along with the operational modes of the sensor nodes. The algorithm has been implemented in MATLAB using an open source social impact theory Optimization toolbox (http://mloss.org/software/view/457/). The suggested algorithm offers the achievement of optimal designs and satisfies the different design parameters.