| In recent years,with the development of microelectronics technology and wireless communication technology,Wireless Body Area Network(WBAN)has become more and more widely used in people's lives: medical field,sports entertainment and military,et al.Due to the crisis brought about by the aging population and the rapid increase in the number of patients with chronic diseases in the world,traditional medical system is facing tremendous pressure.WBAN as a new technology,its application in the medical field can greatly ease this dilemma.Each sensor node in WBAN is responsible for monitoring the physical parameters of different parts of the human body.They have different types and have different requirements on the quality of service(QoS)of the network.For example,different sensor nodes have different requirements on the data transmission rate,and the priorities of the sensor node parameters are different according to the changes of medical application scenarios.Therefore,optimizing the network QoS based on comprehensive consideration of the priority and transmission rate will make the network achieve better performance in some application scenarios.At the same time,due to the particularity of the human body channel in the wireless body area network,the energy that the node can carry is limited.In some practical scenarios,there will be multiple WBAN coexistence in the same area.The research on power control under multi-network coexistence has good theoretical research and practical application significance.Firstly,aiming at the heterogeneity of wireless sensor nodes and the different data rate requirements,a data rate tuning algorithm based on collaborative negotiation game is proposed.The algorithm establishes a utility function based on the data priority in the medical scenario,the transmission failure probability of the node,and the energy consumption ratio to optimize the transmission rate of the node with high integrated priority.In addition to taking into account the impact of priority on the transmission rate,this paper also considers the node's transmission failure probability and the impact of energy consumption on transmission.On the basis of all three factors,this paper establishes a node's integrated priority model.In order to verify theeffectiveness of the algorithm,MATLAB software was used to simulate the algorithm.After a lot of simulation results,the algorithm can improve the average transmission rate of nodes with high priority of about 10%.Secondly,to solve the problem of limited energy in wireless sensor network,a power control algorithm based on non-cooperative game is proposed.The algorithm establishes the utility function by using the pricing factor,packet delivery rate(PDR)and transmission power to perform power allocation for each node in WBAN.Through reasonable selection of the pricing factor,Nash equilibrium is achieved through iteration between packet delivery rate and transmission power.The definition of data packet delivery rate takes into account the interference between multiple WBAN and the interference of human body shadows within a single WBAN.In order to verify the effectiveness of the algorithm,MATLAB software was used to simulate and compare with the other two existing power control algorithms.The simulation results show that compared with the comparison algorithm,the algorithm can reduce the data packet delivery rate while reducing power consumption. |