Peresented Approach Based on Global Coverage and Consensus Estimation to Improve Efficiency in Wireless Sesnsor Network

Wireless Sensor Networks (WSNs) consist of large number of sensors which having capabilities such as sensing, computing, and communicating. Battery power is a critical resource of WSN. Therefore, an effective operation of WSNs depends upon the efficient use of its battery resource. Wireless sensor network typically has energy consumption restriction. In this paper we propose a new mechanism in which node placed in particular form and in various areas, to be covered in the environment and to reduce energy consumption in the nodes, only a node is active at a time in each area, and other area nodes are going into sleep. To establish a cycle of tasks, and intolerance of load on a node, active node that is responsible of sense and the coverage keep in the area, in the next time, another node may be selected as the active node. While part of the network is null from nodes and data are not available, using consensus estimation by other neighboring nodes can try to estimate the amount of that area. In fact, it is expected that in the proposed method, using the zoning of the environment, consensus estimation, and the tasks cycle of coverage in a wireless network, efficiency will be improved. The results showed the proposed method has suitable efficiency in compared with other similar methods.