Energy Optimization and Optimal Routing Protocol in Wireless Sensor Networks

Abstract

The Internet of Things (IoT) is a network of connected objects with sensors, computing power, storage, interconnection capacity, and intelligence. Several Internet of Things technologies have enabled society to gain benefits such as less repetitive chores, faster data flow in a communication network, improved information storage and administration, and effective monitoring of varied environments, among other things. When IoT devices are employed in metropolitan areas, they can monitor health indicators, air quality and humidity, ambient temperature, atmospheric pressure, land and air traffic, soil monitoring, agriculture and livestock, public infrastructure services, and the transmission of danger alerts. Smart Cities, a current concept aimed at improving the use of these technologies and urban space management, necessitate the usage of IoT devices in these urban centres. One of the major scientific issues is to intelligently maximise the utilisation of these resources using methodologies like ACO (Ant Colony Optimization), which is based on the microworld of ants. As a result, the purpose of this study is to conduct a detailed analysis of the ACO swarm method's optimization of the energy use of nodes in an IoT network, using simulations, data collection, and analysis to see if its application provides an effective increase in the lifetime of the investigated devices in an IoT network. The findings of this research will be utilized to enhance the processes that are used in routing events present in IoT scenarios.