An energy-efficiency Optimized LEACH-C for wireless sensor networks

Abstract

LEACH-C is a cluster algorithm in which cluster heads are randomly selected from the nodes with energy above the average, and the simulated annealing algorithm is utilized to find the optimal solution with better position to reduce the energy loss of cluster heads. This paper presents an energy-efficiency Optimized LEACH-C. First, we select a group of cluster heads using LEACH-C. Next, taking retransmission and acknowledgment into consideration, we create a model of cluster head energy consumption. We will calculate the quadratic sum of the distances from each cluster head to its member nodes in the optimal solution. Finally, the largest energy consumption for a single cluster head in the next round will be estimated, and all nodes with residual energy larger than the calculated consumption will be taken to a new round of simulated annealing to find a better solution. Thus, loss of the cluster head for each round can be minimized, and the WSN lifetime can be extended ultimately.