Game theory-based global optimization for inter-WBAN interference mitigation

Researchers' attempts to monitor and collect environmental data have led to the emergence of Wireless Sensor Networks WSNs. In light of WSN, the monitoring target has been changed recently from the environment to the human or animal body: sensor nodes are placed on, in, or around the body to gather biosignals, which will be stored by a wearable sink node. But, WSN has an important problem, that is, the coverage problem, which may generate interference signals and influence system reliability during data transmission. Some biosignals are very important. The reduction of system reliability due to high latency or packet loss may result in significant loss of important data and can be life-threatening A patient's heartbeat or breathing stops but no staff receives the medical alerts. For this reason, this study makes use of a cooperative non-zero-sum game model for controlling the transmit power of the system as well as reducing the obstructions between simultaneous transmissions and avoiding contention between messages. In our simulated scenario, every WBAN is a regarded as a node. To avoid the situation that any one of the sensors stops running, this study further includes a global optimization technique to cover all nodes in the game and improve the time difference of sensors' lifetime. Copyright © 2017 John Wiley & Sons, Ltd.