Latency Minimization For Internet Of Things (IoT) In Device To Device (D2D) Communication With Intervention Of Fog Computing

Over the past decade,due to immense advancement of powerful mobile devices and internet-connected things,there is a tremendous growing trend for proximity-based applications,such as peer-to-peer file sharing,local multicasting and advertising.In addition,we are on the verge of a transition into a state of fully connected fifth generation wireless technology where high capacity is essential.Undoubtedly,with current infrastructure deployments and radio resources,telecommunication operators will not be able to adapt with this upcoming rigorous demand.Therefore,to satisfy the flourishing demand of high-data-rate,device to device(D2D)communication has been considered as one of the key techniques for next generation's wireless communications.D2D communication is a hot issue for future wireless communication system in both academia and industry.With D2D communications,proximity users in a cellular network can communicate directly to each other without traversing base station(BS).Furthermore,due to promising features of D2D communications and rapid growth of internet-connected things the emerging Internet of Things(IoT)concepts have evolved and become very popular in contemporary D2D based communication system.The promising applications of IoT are increasing at an unprecedented scale around the globe.However,the IoT generate harmful delay into the existing cellular network and become a bottleneck for entire communication system.Therefore,the latency minimization is one of the challenging and important issues for IoT in D2D communications.In this dissertation,we mainly focus on minimizing latency for IoT in D2D communications with the intervention of newly proposed fog computing paradigm.In the research of latency minimization for IoT in D2D communications,an advanced system architecture and mathematical model has been presented,where the objective is to minimize the overall latency and enhance the performance of next generation IoT networks.The framework includes three parts.First,a minimum distance based IoT area,where all the requests generated for processing.Then the fog computing zone which are located in the vicinity of the users with LAN mode and will take a significant responsibility for processing and temporarily storing data in the vicinity of the user equipment rather than transmit each and every request to the cloud computing territory.At last,the intelligent cloud computing will be accountable of remaining requests for processing and storing for later communication.The proposed architecture also provides a better comparative analysis regarding the suitability of recently proposed fog computing in IoT.Current literatures depict that by exploiting fog computing,latency could be diminished up to 50%,however,there is not a single distinct substantiation in favor of this unprecedented latency alleviation.Furthermore,previous works merely focus on real-time and instantaneous request.In contrast,this exertion represent a comprehensive solution in minimizing latency for IoT.It is mention-worthy that this work focus on both real-time and revised requests in minimizing overall system delay.Finally,our mathematical analysis and numerical results demonstrate that with the intervention of fog computing overall 55 to 60%latency could be alleviated for IoT in D2D communications.