Research On Routing Algorithm For Energy Efficiency Optimization Of Wireless Body Area Network

Wireless Body Area Networks(WBAN)is a sensor network applied to human body scenes.It can monitor and record physiological information of the human body for a long time.As a new technology,the development prospects of WBAN are generally optimistic.At present,the Wireless Body Area Network is still under research and there are many technical problems.WBAN sensor nodes are generally battery-powered,their own energy is limited,and the nodes are located on the human body surface,and some are even implanted in the body.So,it is very difficult to replace the battery.In the process of data transmission,how to reduce the energy consumption of the network and maximize the working time of the Wireless Body Area Network are hot issues today we studied nowadays.To solve the problem of how to reduce the energy consumption during Wireless Body Area Network work,this paper proposes an energy efficiency optimization routing algorithm for Wireless Body Area Network.First of all,the shortest path algorithm(Dijkstra algorithm)is transformed into the minimum energy consumption routing algorithm,and the threshold of residual energy is set.When it is below the threshold,the transmission power of the node is difficult to guarantee,leading to the decrease of data transmission reliability due to the lack of node energy,external interference and other factors.At this point,the nodes don't transmit and forward data any more.Then,in order to ensure equal energy consumption of each node,in the optimized Dijkstra algorithm,a weighted idea is introduced to set a weighting formula and the same weighting factor for all nodes.When the remaining energy of a certain node,due to undertaking a large number of forwarding tasks,is obviously lower than other nodes,through weighting by the weight energy matrix,the data forwarding task becomes smaller,the energy consumption also becomes slower,and the survival time becomes longer.Finally,a weighting factor is set for each node in the network,and the solution of these weighting factors is converted into a multivariate function to find the optimal solution.The ant colony algorithm is used to simulate the experiment.The results show that the energy-efficient routing strategy based on Dijkstra's algorithm with different weighting factors can improve the network energy utilization,optimize the overall energy efficiency optimization,and maximize the life cycle.