A New Approach for Improving Lifetime in Wireless Sensor Networks Based on Distributed Learning Automata
In wireless sensor networks, due to the strict resource limitations, consumption energy has becomes the most challenging issue. Decreasing consumption energy has a direct impact on increasing the lifetime of wireless sensor networks; data aggregation was put forward as an essential paradigm for wireless routing in sensor networks. The idea is to combine the data coming from different sources, eliminating redundancy, minimizing the number of transmissions, and thus, saving energy. For this purpose, in this paper, the authors propose an energy aware algorithm for the construction of virtual backbone. The proposed algorithm considers both the consumption energy and remaining energy parameters to construct the virtual backbone which increases the network lifetime.