An Intelligent Optimized Route-Discovery Model for IoT-Based VANETs

Abstract

Intelligent Transportation system are becoming an interesting research area, after Internet of Things (IoT)-based sensors have been effectively incorporated in vehicular ad hoc networks (VANETs). The optimal route discovery in a VANET plays a vital role in establishing reliable communication in uplink and downlink direction. Thus, efficient optimal path discovery without a loop-free route makes network communication more efficient. Therefore, this challenge is addressed by nature-inspired optimization algorithms because of their simplicity and flexibility for solving different kinds of optimization problems. NIOAs are copied from natural phenomena and fall under the category of metaheuristic search algorithms. Optimization problems in route discovery are intriguing because the primary objective is to find an optimal arrangement, ordering, or selection process. Therefore, many researchers have proposed different kinds of optimization algorithm to maintain the balance between intensification and diversification. To tackle this problem, we proposed a novel Java macaque algorithm based on the genetic and social behavior of Java macaque monkeys. The behavior model mimicked from the Java macaque monkey maintains well-balanced exploration and exploitation in the search process. The experimentation outcome depicts the efficiency of the proposed Java macaque algorithm compared to existing algorithms such as discrete cuckoo search optimization (DCSO) algorithm, grey wolf optimizer (GWO), particle swarm optimization (PSO), and genetic algorithm (GA).

An Improved Discrete Jaya Algorithm for Shortest Path Problems in Transportation-Related Processes

“…It is applied in a variety of domains (both as a stand-alone model and as a subproblem in complex problems), such as transportation [1][2][3], biological networks [4], social networks [5], circuit board layout [6], and robotic search/navigation processes [7][8][9][10][11][12][13]. In recent years, the rapid development of sensing and Internet of Things (IoT) technology has allowed us to obtain environmental changes rapidly [14,15]. Since such changes impact SPP solutions, it becomes increasingly important for us to find SPP solutions efficiently.…”