Improving reliability of routing in Wireless Body Area Sensor Networks using Genetic Algorithm

Wireless Body Area Sensor Networks is a highly distributed network, which its nodes are the organizer itself and each of them has the ability of gathering and sending patient biomedical data to a terminal, which called sink. When data sent to sink from a path that does not have a distinct basis, the routing is an important challenge in Wireless Body Area Sensor Networks, also reliability and routing delay is considerable factors in these types of networks. A new method for improvement of routing which is using Genetic Algorithm proposed in this paper, such that for each of mentioned factors a weight based on their importance is specifying that have been repeated over the races and have improved the reliability and delay. Analysts and assess of proposed algorithm simulation results in MATLAB, show a remarkable improvement than other conventional methods.