An Evolutionary Optimization Framework for Improving Communication in Vehicular Adhoc Networks

Abstract

Vehicular Ad hoc Networks (VANET) primarily have to offer modern software that is newlinealways accessible in all fields without a key management organization for vehicular newlinecommunication. By creating efficient use of wireless technology, VANET should be prepared to swap accurate information in real time and also be prepared to adjust to communication protocols with continuing climate modifications. Two key goals to be addressed are restricted computing assets in a restricted moment, and restricted network and resources (power, price, etc.). Evolutionary Computing (EC) techniques used to cope with Non-Polynomial (NP) development problems with the help of bio inspired models. These algorithms progressively develop to provide ideal alternatives. They take inspiration from nature, use computers to synthesize natural phenomena, and make use of natural materials to compute data. Using Bio-inspired algorithms for optimization in vehicular networks are becoming more and more popular because of the following reasons: 1) Decreasing computer overhead, 2) Decreasing number of specific instruments (not needing complete problem understanding) and 3) Adaptability to the number precision, volume of storage, etc. The above factors led to the use evolutionary computing to tackle VANET parameter optimization. The main goal of this thesis is to show how effective the use of evolutionary computing can be in solving VANET optimization problems and in creating flexible system and devices configurations. The work also strives to define other issues in this sector of available optimization and to develop natural algorithms to address them. The major contributions of this thesis are given below: Designed an optimization framework to select a cluster head and optimize clustering parameters for improving Quality of Service (QoS) Developed an optimization framework to improve QoS for cluster-based routing in VANETs.Designed an efficient TDMA scheduling mechanism for channel access in Vehicular Adhoc Networks. newline newline