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Distributed MAC Protocol with Game Theory Optimization for Wireless Sensor Networks
S. Radha, B. Sachin, Seyedali Pourmoafi and P. Nagabushanam
Wireless Sensor Networks face limitations in battery life, energy consumption and network lifetime. By fixing high transmission power, the scenario leads to high interference when neighboring nodes try to communicate. The interference and noise levels in the channel degrade the SNR of the signal being transmitted. In this paper, we have proposed distributed MAC with game theory optimization logic for transmission power calculation for each node. Thereby the node can set adaptively its rest, listen and alive state durations using normalized probability and pay-off matrix. Queuing function is used to calculate pay-off values using approximation method. Based on this approximation nodes get reward or penalty for its behavior in the network. Thereby interference can be monitored by setting contention window threshold and number of alive sensors can be validated. The proposed DS-MAC is simulated using NS2 and it shows better performance in metrics like average energy and end to end delay, network lifetime, Goodput compared to conventional MAC in all the environmental setup and the different scenarios we tested.
Keywords: DS-MAC (distributed MAC), Goodput, game theory optimization, pay-off matrix, energy consumption
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DOI: 10.32908/ahswn.v54.8141