Enhancement techniques of lifetime in wireless sensor networks using clustering algorithms, grid based and load balancing

Enhancement techniques of lifetime in wireless sensor networks using clustering algorithms, grid based and load balancing

Wireless sensor networks, have the task of sensing, aggregation, and combination of information and sending to the station. One of the necessary requirements of these networks is to have energy - saving. Network nodes contain limited energy resources and reduce energy consumption to increase network lifetime from the most critical challenges in wireless sensor networks. Therefore one of the most important issues in these networks is the issue of intensive energy and optimal energy management. In this process, how to transmit data to the base station and then to the end - user is a highly challenging issue that has attracted the attention of many researchers This paper investigates the methods of reducing energy consumption in wireless sensor networks and the clustering algorithms, grid - based and load balancing are investigated. In the end, the proposed algorithms are evaluated and compared

Wireless sensor networks, have the task of sensing, aggregation, and combination of information and sending to the station. One of the necessary requirements of these networks is to have energy - saving. Network nodes contain limited energy resources and reduce energy consumption to increase network lifetime from the most critical challenges in wireless sensor networks. Therefore one of the most important issues in these networks is the issue of intensive energy and optimal energy management. In this process, how to transmit data to the base station and then to the end - user is a highly challenging issue that has attracted the attention of many researchers This paper investigates the methods of reducing energy consumption in wireless sensor networks and the clustering algorithms, grid - based and load balancing are investigated. In the end, the proposed algorithms are evaluated and compared