MAXIMIZING NETWORK LIFETIME USING ENERGY EFFICIENT ENHANCED FORWARD AWARE FACTOR (EEFAF) ROUTING PROTOCOL BASED ON COOPERATIVE GAME THEORY FOR WIRELESS SENSOR NETWORKS

ABSTRACT A wireless sensor network (WSN) is a self organizing wireless network system consists of number of energy limited battery powered or embedded form of energy harvesting sensor nodes deployed. A deployed sensor node may vary in size from small to big size, although functioning motes of sensor nodes deployed are unique. Initially sensors deployed to transmit sensing data from one end transmitter to destination or intermediate other end receiver node effectively, planned to design a route selection based on energy independent energy efficient routing protocol designed for WSNs. The wireless sensor nodes with increased nodes signal strength have more connections of communication links and result in increased energy consumption as an entire network cannot always work under the same increased energy consumption topology structured network. A cooperative communication of rearranged or restructured topology reconnecting mechanism of the cluster head selection algorithm is modified based on our newly developed sensor networks. Our effective research in this paper produce a game theoretical approach between decision making with cooperative communication between sensor nodes and Energy efficient Enhanced Forward Aware Factor -Energy Balanced Routing Method (EEFAF-EBRM) based on the selection of cluster heads to enhance the energy of network to improve the energy conservation effectively. In this method of energy conservation the sensor node may guarantee to select cluster head that makes the energy consumption less for whole networks. Our enhanced sensor network cluster head formation strategy decreases the low energy consumption, Enhance the improved energy balance factor (EEBF), lower communication overhead, enhance the life time of wireless sensor network and improve the networks packet delivery ratio. Our proposed method developed this enhanced technique to overcome the problem in the existing routing protocols method FAF-EBRM when local topology restructured is needed to make topology rearrangement or reconstruction. This rearranged topology enhanced method produce optimal solution for cluster head selection is developed accordingly. The wireless sensor nodes in the proposed cluster head changing algorithm pick out their appropriate cluster heads rather than the nearest for the sake of efficiency in energy conservation. The newly proposed cluster head selection formation strategy reduces the delay even for the long distance link without considering the nearby shorter links. Results analysis also make prove our proposed cluster head selection formation strategy is better performance compared with existing method FAF-EBRM..