Improving energy consumption in Internet of Things using meta-heuristic algorithm

Abstract

The Internet of Things is a possibility through which things can be connected to each other through the Internet platform. Connecting objects regardless of time and place is important in objects, therefore, the topic of energy consumption gains great importance in this type of networks. When transmitting data in the Internet of Things environment, network traffic distribution fluctuates frequently. If network links or nodes are randomly broken, new nodes are automatically added regularly. Heavy network traffic affects the response time of the entire system and continuously consumes more energy. Minimizing network traffic / By finding the shortest path from the source to the destination, it minimizes the response time of the entire system and also reduces the cost of energy consumption. In this article, an algorithm to reduce energy consumption is proposed, which is based on clustering and sending information by finding the shortest path. In all relevant articles, clustering is one of the methods that helps to reduce energy consumption. Also, meta-heuristic algorithms are a very ideal way to find the shortest path. Finding the shortest path in this paper is based on the bee colony restart algorithm. The simulation results show that this method improves energy consumption compared to other methods.