SINR Based Energy Optimization Schemes for 5G Vehicular Sensor Networks

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.