Energy Management of Wireless Sensor Network Based on Modeling by Game Theory Approaches

Energy constrained (WSNs) have been deployed widely for monitoring and surveillance purposes. so energy efficient protocols must be employed to prolong the network lifetime. Sensor node expends maximum energy in data communication. Minimizing the number of communications (exchanged messages) by eliminating redundant sensed data saves much amount of energy and extends the lifetime of overall sensor networks. The problem manipulated in this paper is that the sink capability is limited and can’t receive all messages sent from all sensors. Therefore, nodes can cooperate with each other to minimize the number of dropped message. Defining some nodes to send to the sink node at certain time allows other nodes to go to sleep. Certainly, this operation positively reduce the nodes’ consumed energy and increase the life time of the network under consideration. This work compares some of the game theory schemes which is Gur game and its three enhanced versions (AGur, PGur and APGur)with a novel algorithm based on Market Entry Game (MEG). This game is adapted for WSNs to decrease the rejected number of messages accordingly produces energy saving in the overall network energy. KEYWORDS-WSNS; GAME THEORY; GUR; AGUR; APGUR;MEG.

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