Wireless sensor network energy minimization using the mobile sink

Optimizing energy consumption and increasing the network lifetime are the main concern in wireless sensor networks where nodes energy are mostly used for sending data to the sink or base station. Many routing protocols are presented to save energy in data collection and using fixed base station problems are truly recognized. Many researches have been conducted on base station mobility which can improve network energy performance and network lifetime. In this paper, we aim to present a sink mobility scheme to optimize networks lifetime and energy consumption using a two-level fuzzy logic. Specifically, the mobile sink moves towards a successful top cluster and reduces the top cluster energy consumption. In the first fuzzy level, eligible nodes are selected based on their energy and number of neighbors. Then in the second fuzzy level, sets of successful nodes are globally evaluated in the network with two phase parameters. We have also tested the effect of network size, sink movement in a random manner or in a controlled movement around square route network. The results show that square routes outperform the others and save more energy in the entire network.