Wireless sensor networks are widely used in monitoring and managing environmental factors like air quality, humidity, temperature, and pressure. The recent works show that clustering is an effective technique for increasing energy efficiency, traffic load balancing, prolonging the lifetime of the network and scalability of the sensor network. In this paper, a new energy-efficient clustering technique has been proposed based on a genetic algorithm with the newly defined objective function. The proposed clustering method modifies the steady-state phase of the LEACH protocol in a heterogeneous environment. The proposed objective function considers three main clustering parameters such as compactness, separation, and number of cluster heads for optimization. The simulation result shows that the proposed protocol is more effective in improving the performance of wireless sensor networks as compared to other state-of-the-art methods, namely SEP, IHCR, and ERP.

无线传感器网络被广泛用于监视和管理环境因素，例如空气质量，湿度，温度和压力。最近的工作表明，群集是一种有效的技术，可以提高能源效率，流量负载平衡，延长网络寿命和传感器网络的可扩展性。本文基于具有新定义目标函数的遗传算法，提出了一种新的节能聚类技术。提出的聚类方法修改了异构环境中LEACH协议的稳态阶段。拟议的目标函数考虑了三个主要的聚类参数，例如紧密度，分离度和优化的聚类头数。