Under The Framework Of Game Theory, Power Control In Wireless Sensor Networks

Wireless sensor network consists of a large number of distributed sensor nodes equipped with radio devices that organize themselves into a multi-hop wireless networks, which can break monitor and transmission limitations of single sensor and improve the precision and range of monitoring significantly. Due to constraints imposed on energy in wireless sensor network(WSN), energy-efficiency and lifetime of network are undoubtedly being put the first place.We develop a power control algorithm on the reverse link of clustering wireless sensor network (WSN) of complete information based on TDMA-CDMA with Stackelberg strategy and bargain theory. Then the issue arising from incomplete information is investigated and numerical results are provided.Based on the theory of Nash equilibrium, Stackelberg pricing and bargain game, we can draw some useful conclusion by the aid of theoretical analysis and network simulation.Firstly, we formulate a model of TDMA-CDMA based on Nash equilibrium, giving a characterization of clustering wireless sensor network.Secondly, we expound the power control model, putting the emphasis on applying Stackelberg theory and improving the utility function. Founded on above analysis, simulation under Matlab environment is constructed to evaluate performances of the power control model.Thirdly, we carry out two-person bargaining theory in power control model in which clustering nodes finds Pareto improving power solution by bargaining. The numerical results show that the bargaining theory provides two nodes a good method which benefits each other.Most research work in this field is based on complete information. For the first time, we analysis the power control problem based on incomplete information. Also we compare the two cases about the Nash equilibrium SINR and Nash equilibrium utility.At last, we review the entire work and suggest the direction for future research.