Efficient Device Management for Enhanced Energy Utilization and Operational Performance in Internet of Things

Abstract

The Internet of Things is a rapidly growing field, and the management of IoT nodes is becoming increasingly important. Perpetual energy supply remains a major area of concern for IoT devices. IoT nodes with low energy levels may go into a sleep state, making them unavailable for use and they must be recharged to be reused. The challenge is to select the nodes that should be charged to minimize downtime and maximize uptime. This paper proposes the use of the Gur game algorithm to optimize the management of IoT nodes for maximum uptime and minimum downtime. The Gur game algorithm is used to proactively select the nodes to be charged, considering the current energy levels of the nodes and the utilization of IoT nodes in the network. A preliminary result is proposed in this paper. The proposed method is a unique approach in managing IoT nodes, providing an effective way to ensure optimal utilization of resources and efficient operation of IoT systems.