Globally Optimized Cooperative Game for Interference Avoidance in WBAN
Wireless Sensor Networks (WSNs) have been developed for collecting and monitoring environmental data over the years. Recently, based on the idea of WSN, researchers have begun to monitor the human or animal body by placing sensor nodes on the skin or inside the body. The wearable relay nodes then collect biosignals from the sensor nodes and send the collected data to a sink node for data storage. However, the coverage is a typical problem in WSNs, which may not only generate interference but also affect system reliability. While dealing with very important bioinformation, supposing the system reliability is decreased due to high delay or packet loss, important bioinformation might be lost and could be life-threatening when, for example, a patient’s heart stops beating but medical personnel are not warned. Therefore, this paper proposes a non-zero-sum cooperative game model to control the transmission power of the system for reducing the interference level between simultaneous transmissions and solving contention between different messages.
KeywordsWSN WBAN game theory global optimization
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