Maximization of Network Lifetime by Energy Balancing Algorithm for Wireless Sensor Networks

The Maximization of network lifetime by energy balancing algorithm is a research topic that focuses on the development of distributed algorithms for enhancing the lifetime of wireless sensor networks (WSNs). With the recent development of wireless technologies, WSNs are becoming increasingly popular for a variety of sensing and environmental monitoring applications. WSNs are typically made up of a large number of sensor nodes, each equipped with limited energy resources such as batteries. In order to maintain long-term operation of the WSN, it is necessary to balance the energy usage of the nodes in order to prolong their network lifetime. Energy balancing algorithms attempt to achieve this by balancing the energy usage among the nodes in the network. This paper discusses the various techniques used for energy balancing and the current state of research in this area. The paper presents several energy balancing strategies such as power-aware routing, energy harvesting, and energy-efficient communication protocols. The paper also discusses recent approaches to optimize energy balancing strategies, such as multiple objective optimization, distributed optimization and game theory. Finally, the paper concludes by presenting some future directions for research in this area.