Research On Information And Energy Transmission Protocol Based On Dynamic Weight In WBAN

Wireless Body Area Network(WBAN),as a brand new researching field,is quite closely related to the daily lives of human.As an emerging communication network,it integrates many cutting-edge technologies such as wireless sensor communication,wireless communication,life sciences and human health,and is widely used in medical rehabilitation,military operations,sports competitions,leisure and entertainment and other fields.Especially in terms of medical care and disease prevention,it has received great attention.It realizes the health protection of human through real-time remote monitoring and also provides a certain research foundation for the diversified development of various fields.As people's health awareness is gradually increasing,wireless body area networks are gradually becoming a key development direction that people are paying attention to.At the same time,it has attracted a large number of domestic and foreign scholars to study the subject direction of wireless body area networks.Due to the low power consumption and complex channel environment of wireless body area networks,how to allocate transmission resources reasonably and effectively to make them more practical has become a new research direction.At present,research scholars have done quite much research on the optimization of energy transmission,and also have achieved outstanding results.However,there is a lack of optimizing resource allocation based on actual importance in the network.However,this paper studies an algorithm for optimizing the system transmission protocol.The algorithm considers the weight of sensors in the wireless body area network and optimizes the allocation of resources.The multi-point information and energy transmission model in WBAN was first established,and the transmission protocol was designed according to time division multiple access(TDMA)to maximize the total throughput of the system.Due to the different importance of sensors in the transmission network,in this process,the total weighted throughput of the system proposed in this paper can better reflect the effectiveness of the system's information transfer.Hence,a joint weights optimizing time slot allocation protocol(JWTA)is proposed.The weight value of each sensor can be obtained quantitatively based on an algorithm named analytic hierarchy process(B-AHP).When several sensors are randomly and dynamically selected to form a specific communication network,we can use this algorithm to quantitatively calculate the physiological weight of each node in the current network.The weight can directly reflect the importance of the physiological signals collected by the detecting sensor to human health.On this basis,this paper re-allocates transmission time slots according to the weights obtained,which also optimizes the traditional time switching(TS)protocol.The specific analysis of the proposed optimization protocol is carried out through MATLAB simulating experiments,and the optimal system transmission performance was obtained.The main work of the paper is as follows:(1)We constructed the energy and information transfer model of WBAN.The application scenarios of wireless body area networks are introduced,and the transmitting of the information and energy is realized through energy harvesting.In view of the channel characteristics and transmission drawbacks of WBAN itself,relay can better assist the transmission system.(2)According to the application characteristics of the wireless body area network,in the actual human health monitoring scheme,the importance of different sensors in the transmission network to the human body is completely different.For some more important sensors,more resources should be allocated during the transmission process.Therefore,we use an algorithm based on the analytic hierarchy process to calculate the weight of each sensor in the network.The algorithm can quantitatively determine the importance of the node by calculating the weight of it in the network.(3)According to the weights obtained by the algorithm,a joint weight optimization time slot allocation protocol is proposed,and its transmission time slot is re-allocated based on the weight of each weight.At the same time,the total weighted throughput of the system is proposed as a new objective function,which can better reflect the efficiency of information transfer,and the optimization problem is solved in combination with the weights of sensors.(4)Using MATLAB simulation and verification,we compared three different transmission protocols,which are equally allocating time slots and weights protocols,the transmission protocol that simply optimizes the time slot and a joint weights optimizing time slot allocation protocol.In addition,we analyzed the influence of different parameters on the total weighted throughput of the system.Through the comparison and analysis of the three protocols,the transmission protocol proposed in this paper is the best.