Research On Energy Optimization In Hierarchical Wireless Sensor Networks Based On Game Theory

Wireless sensor networks(WSNs) is a network which limited by the hardwareresources, its limited energy, computing ability, storage space, the distance ofcommunication and band width request that the research in the field must focus on howto minimize node workload, including traffic, computation, storage, etc., in order toachieve the goal of saving resources, and to extend the network lifetime. In WSNs, byformulating power control on the nodes could reduce the energy greatly, and prolong thelifetime of the network. However, the new technical solution requires a new design andanalysis techniques, which will help design adistributed and flexible resourcemanagement scheme. Based on game theory, we investigated is tribute resourceallocation and dynamic sharing in hierarchical wireless sensor networks. This paper canbe divided into four parts as follows.1. By analyzing the main energy consumption in hierarchical wireless sensornetworks, we have established the consumption model of the nodes transmitting power.This model can be used for the development and enhancement of the key technologiesof WSN. The research of the energy allocation is on the hardware layer and softwarelayer of the nodes. As a result, we discuss the importance and necessity to formulate thepower control scheme. The related works are analyzed, and we give a sententiousknowledge of the concept.2. We investigate the power control in hierarchical wireless sensor networks.Nashequi1ibrium is employed as the optimal design guideline for the power control. Apricing function based on signal to interference and noise ratio(SINR) is proposed,meanwhile, with the consideration of fairness among user nodes, we finally achieve anovel utility function. Hence, a non-cooperative power control game model isformulated on the base of this utility function. Mathematically, weconcludetheexistenceanduniquenessoftheNashequilibriumsolutionforthis proposed gamemodel. Moreover, we present a joint admission and power control scheme in the case ofrequirements of diverse needs of communication quality of different user nodes.Simulation results show the performance pareto improvement of the proposed pricingschemes.3.In this model, we propose a power and admission control scheme based on a novel non-cooperative game model in the hierarchical wireless sensor networks. In thescheme, the two network objectives, i.e., the efficiency and reliability are consideredsimultaneously. We formulate the power allocation problem as a non-cooperative game.In the game, the cluster head nodes are designed as the players, by formulating a pricingscheme in the definition of node utility function, the paper analyzes the decision-makingprocess of each node. Based on the game-theoretic analysis, a low complexitytransmitting power algorithm is proposed to achieve the Nash equilibrium and provedthe uniqueness of the Nash equilibrium. The simulation results show that both the powerefficiency and link reliability are improved.4.We using cooperative game to consider the resource problem in cooperative relaynetworks. In the model, the two nodes can act as a source as well as a relay, and theyhave the potential tendency to achieve a higher signal-to-interference-and-noise-ratio atthe sink node. By formulating this problem as a two person bargaining game, we use theNash bargaining solution to achieve the tradeoff between the transmitting power andSINR value of the nodes. Simulation results show that, the Nash bargaining solutionresource sharing is fair and effective. The power of the nodes is depending on thedegree of cooperation of a relay node.