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@article{170342,
        author = {Mukesh Saini and Dr. Reeta Pawar},
        title = {An Optimization in Green Energy Harvesting by Using Game Theory Approach for Energy efficient in Wireless Sensor Networks},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {306-313},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170342},
        abstract = {This article studies the sensor activation control for the optimization of green energy utilization in a GEH-WSN. Decentralized operation is considered for the green energy optimization in the EH-WSN. The optimization is achieved in two dimensions: dynamic (activation) mode adaptation and energy balancing in the spatial dimension. In this proposed scheme controls the switching of sensor nodes from active to sleep states (High to Low) and the awakening up of sensor nodes from sleep to active state (Low to High). 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 nearby nodes. 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, wind energy and vibration energy.},
        keywords = {Active, Green energy-harvesting wireless sensor networks (GEH-WSN), game theory, green energy optimization, High, Low, Node, Sleep state,.},
        month = {December},
        }