Enabling Energy Efficient Communication between Entities Using 5G Assisted Wireless Sensor Networks

Most of the sensor nodes in WSNs rely on power sources, which have a finite lifespan and can adversely influence the network's functionality, excellence and longevity because of the amount of energy they place on each node. Thus, several clustering approaches are proposed to enhance WSNs' energy efficiency. Mobile communication technology has completely altered the way individuals interact with one another. Providers of internet services now face difficulties due to the exponential growth in the amount of users, the speed of data transfer, the need for more bandwidth, and the volume of data being sent. The expectation is that the contemporary communication system will fulfill all these needs. Next-generation communication technologies will prioritize the creation of user terminals that mix several flows from different technologies and enable access to those technologies. The researchers of this work have offered a comprehensive summary of the current state of wireless communication technologies and their potential for future improvement. This transmission is energy intensive. There has been a rise in the number of users necessitating constant connection due to the transition from 4G, which is transformed to 4G with LTE in wireless communication. Because of this, battery life on mobile devices is shortened. Therefore, a strategy should be created to reduce consumption of energy, which will lengthen the life of portable packs of batteries. A fifth-Generation (5G) technological advance, which is discussed in this article, is discussed, and it is both intelligent and interconnected with the rest of the world. In addition, this paper addresses the limitations of current wireless technology, the problems with current cellular networks, and the necessity for the next-generation communication technologies. In addition, 5G wireless communication has been the subject of extensive research and discussion. The major concern of this paper is to prove the efficiency of the proposed work by means of the improvements in the following metrics such as: throughput, energy efficiency, reduced delay and improved Frame Success Ratio (FSR).