Hop distances optimization for balancing the energy consumption of multi-hop clustered Wireless sensor Networks

Clustering has been proven by many researchers as the best solution for the need for energy efficiency and scalability on Wireless sensor Networks (WSN). To improve the scalability, especially for large scale networks, the most recent trend on WSN clustering utilizes the multi-hop communication,. However, there is one negative effect of multi-hop communication that commonly called hot-spot problem, where the closer to base-station cluster-heads (CHs) suffer more load because they must relay data from outer CHs. One solution for the problem is designing an unequal cluster model. Some algorithms have been proposed to realize it, but just a few that give a comprehensive energy model. In the paper, a new scheme for the optimum partitioning area is presented. The goal of the scheme is obtaining a load-balancing among region by arranging the width of the regions. The evaluation shows that the proposed scheme is more superior than the conventional uniform partitioning.