In Vehicular Sensor Networks (VSNs), the configuration of connected vehicles is in such a manner that enhances the data traffic. Due to this challenge, researchers have explored device to device (D2D) communication which provides the desired connectivity with mobility between the connected vehicles. It also reduces the energy consumption while increasing the system capacity. D2D communication is strongly affected by interference because it works with large number of vehicles in limited area. Various schemes have been attempted to manage interference while maintaining energy efficiency such as power control, mode selection etc. This paper presents a signal-to-interference-noise-ratio (SINR) based energy optimization technique for 5th generation VSNs. The major factors taken in account of are transmit power, battery lifetime, system load and SINR. An energy efficient algorithm is proposed with mathematical model to optimize the battery lifetime with respect to power control. Simulation results have been used to present the comparison of existing and proposed technique.

在车辆传感器网络（VSN）中，连接的车辆的配置采用增强数据流量的方式。由于这一挑战，研究人员已经探索了设备到设备（D2D）通信，该通信提供了所需的连通性，并在连接的车辆之间提供了移动性。在增加系统容量的同时，它还减少了能耗。D2D通信受到干扰的强烈影响，因为它可在有限的区域内与大量车辆配合使用。已经尝试了各种方案来管理干扰，同时保持能量效率，例如功率控制，模式选择等。本文提出了基于信号干扰噪声比（SINR）的第五代VSN能量优化技术。考虑的主要因素是发射功率，电池寿命，系统负载和SINR。提出了一种具有数学模型的节能算法，以针对功率控制优化电池寿命。仿真结果已用于比较现有技术和拟议技术。