Energy Optimization Using Game Theory in Energy-Harvesting Wireless Sensor Networks

This paper proposes a game theoretic approach to optimize the energy of sensor nodes in an Energy-Harvesting Wireless Sensor Network (EH-WSN). Sensor nodes in these types of networks have some energy-harvesting mechanism associated with them which can harvest energy from immediate environment such as solar energy. Our proposed scheme controls the switching of sensor nodes from active to sleep states and the waking up of sensor nodes from sleep to active state. A utility value is calculated at each node through the utility function and the behavior of the sensor is decided by the utility value of nodes itself and the also by taking into account the utility values of immediate neighbor nodes.