Research On Routing Algorithm For WBAN Based On Reinforcement Learning

In wireless body area network, its nodes have limitation in energy and communicationscapabilities. The energy of wireless body area network node is limited, how to make the nodesenergy can be efficiently utilized and to ensure its network connectivity. It is one of the difficultieswhich the domestic and foreign scholars are studying. As a special application scenario, how toimprove the energy utilization rate of wireless body area network, to the greatest extent save thenetwork energy consumption, is the researchers are trying to conquer the difficulty.In this paper, it is the main object of study that wireless body area network self-organizingrouting method. From the existing wireless body area network routing algorithm, the most onlyconsider factors are such as hops, distance and others, the energy is not considered comprehensive.In this paper, the Q-learning mechanism applied to a wireless body area network, researchingenergy efficiency, considering the number of hop, distance and communication loss, to choose thereturn value be the biggest and select the next hop node as a path to achieve route optimization, tofurther improve energy utilization and prolong the network lifetime. The algorithm proposed in thispaper called the addition of wireless body area network based on Q-learning mechanism ofself-organizing routing algorithm (Q-Learning-based Self Organization Routing Protocol). In theother hand, It proposed a new routing algorithm based on TD energy predicted, using TD algorithmto predict the energy of neighbor nodes, not only to consider the remaining energy of the node, thenode should consider sending some bits of information to be loss of energy, the use of TD algorithmto neighbors prediction node energy avoid sending large amounts of nodes located in the body ofnotification information, causing unnecessary energy loss.By simulating for the new routing algorithm include QLSORP, TDDSR, and analyzing therelated date. The simulation results can be seen, QLSORP self-organizing routing method andTD-DSR routing can improve the efficiency of data transmission in wireless body area networks.Optimization path routing choosing, reduce energy consumption of nodes and prolong the networklifetime. In a wireless body area network, the network life is longer and the performance is better.