Design of Modified Tabu Search (MTS) Algorithm, an Optimization Technique for Intelligent Routing of an IOT Network with an aim to Improving the Efficiency

In this study, Modified Tabu Search (MTS) optimization technique with metaheuristic approach has been proposed. This technique is based on an example of salesman travelling problem that could be resolved effectively using metaheuristic Tabu Search algorithms where implementation of an intelligent routing technique has been proposed in order to improving the efficiency of an IOT network. Further, in this piece of research work, existing routing techniques have been studied to predict a cost-effective shortest path for different network size. It was observed that Modified Tabu Search (MTS) is quite an efficient technique in surpassing all existing routing techniques, and therefore, could prove to be one of the most preferable technique in a real time scenario to be applied to an IOT based network.