Optimised HFFA- SVM in WSN based Smart Parking Management System

The internet of Things (IoT), along with its enabling technologies, have facilitated human to meet growing demand of population in urban cities. The modernization of society is associated with congestion on road as well as network. One such issue is raised and addressed here, such as the issue of inadequate space for parking of vehicles in urban cities. The aim of this paper is to introduce various works done in the field of WSN based parking management system to make it more proficient by using suitable sensor network deployment techniques and routing optimization using hybrid firefly algorithm with support vector machine classifier (HFFA-SVM) for selecting the best route and intruder identification.