Zoltan Gal, PhD, Faculty of Informatics, University of Debrecen, Kassai Str. 26, H-4028 Debrecen, Hungary
One of the most efficient energy management of the wireless sensor network nodes is provided by the LEACH (Low Energy Adaptive Clustering Hierarchy) mechanism. This hierarchical protocol use cluster head function of the nodes to aggregate and forward the messages from the cluster members to the Sink node. Each node decides to become cluster head stochastically in each epoch time intervals. Nodes have enough energy to reach directly through radio channel any of the nearest cluster nodes, even the Sink node, too. Optimization algorithm is required to provide efficient energy consumption on the WSN clusters level. A node being cluster head in the actual epoch time can repeat this function just with probability p in time. Classical nodes find the nearest cluster head to minimize the transmission energy consumption and use time division multiple access method to send the radio frames in each epoch time. In this paper we use own developed simulation method and software to analyse the remaining energy process in time of the whole WSN network and the number forwarded frames in function on the probability p for a set of nodes having heterogeneous level of initial energy.
Internet of Things (IoT), Wireless Sensor Network (WSN), Low Energy Adaptive Clustering Hierarchy (LEACH) protocol, radio communication, energy sparing, stochastic process.