Optimization of energy consumption in the batteries of a sensor node plays an essential role in wireless Sensor networks (WSNs). The longevity of sensor nodes depends on efficiency of energy utilization in batteries. Energy is consumed by sensor nodes in WSNs to perform three significant functions namely data sensing, transmitting and relaying. The battery energy in WSNs depletes mainly due to sampling rate and transmission rate. In the present work, the most important parameters affecting the longevity of network are indentified by modeling the energy consumption. The parameters are expressed as a fuzzy membership function of variables affecting the life time of network. Fuzzy logic is used at multiple levels to optimize the parameters. Network simulator-2 is used for experimentation purpose. The proposed work is also compared with the existing routing protocols like Enhanced Low Duty Cycle, Threshold Sensitive Energy Efficient Sensor Network and Distributed Energy Efficient Adaptive Clustering Protocol with Data Gathering. The proposed solution is found to be more energy efficient and hence ensures longer network lifetime.

传感器节点电池中能量消耗的优化在无线传感器网络（WSN）中起着至关重要的作用。传感器节点的寿命取决于电池中能量的利用效率。WSN中的传感器节点消耗能量来执行三个重要功能，即数据感测，传输和中继。无线传感器网络中的电池能量耗尽主要是由于采样率和传输率所致。在当前工作中，通过对能耗进行建模，可以确定影响网络寿命的最重要参数。这些参数表示为影响网络寿命的变量的模糊隶属函数。在多个级别使用模糊逻辑来优化参数。网络模拟器2用于实验目的。拟议的工作还与现有路由协议（如增强型低占空比，阈值敏感节能传感器网络和具有数据收集功能的分布式节能自适应群集协议）进行了比较。发现提出的解决方案具有更高的能源效率，因此可以确保更长的网络寿命。