Research On The Inter-network Interference Mitigation Among The WBANs Based On Game Theory

With the development of wireless technology and embedded technology,the application of Internet of things has entered the public notice gradually and changed people's daily life.Wireless Body Area Network as a major branch of the Internet of things and the wireless sensor network,which has been extensively used in many applications,such as universal health care,sports,virtual reality,life services and improved medical care and increased happiness index.WBAN attracts more and more attention for its widely application.At present,the research of the Wireless Body Area Network is still in the primary stage of development,and facing many technical challenges.In some application scenarios,several WBANs coexist in a small area due to the human's social activity,resulting in accidently data loss and very strong inter-network interference,which seriously disturb inter-network communications.To solve the above problems and requirements,the paper proposes a solution to control the users' transmission power to mitigate the inter-interference from nearby WBANs.However,due to the independent of body area networks,adjusting its own power may cause more serious interference to others.In this paper,on the basis of the power control algorithm we introduce the game theory method as mathematical theory basis for decision making in WBANs,and then design inter-network interference mitigation for WBANs.Firstly,this thesis describes the research background,significance and research status of the inter-interference among the WBANs,and introduces some related theories and technologies in the coexistence of WBANs.Then,the paper proposes a non-cooperative self-adaptive power control algorithm based on the model of TDMA.The algorithm is put forward using payoff function and cost function as utility function.Meanwhile,the transmitting power vector is obtained by the optimal response strategy update.It is proved that the network can reach Nash Equilibrium with the transmitting power vector,and in this situation all the users' utility function is maximized.The simulation results of experiment show that algorithm based on the non-cooperative game theory has a very good astringency.Performance of the system can be improved through the selection ofthe appropriate price factor.Finally,the adaptive power control algorithm consumes extra energy when the information is exchanged,and further result in decreased the signal-to-noise ratio of users.The paper applies the game theory to design a utility function considering the SINR and energy consumption.By setting the price coefficient and the steep coefficient and through updating the power value to achieve real-time control of the transmission power,which can reduce the system power consumption,and further improve the users' SINR.The simulation results show that the optimized algorithm has a higher SINR,which can not only improve the effectiveness of the system,but also reduce the computational complexity.