An Efficient Routing Algorithm for IoT Using GWO Approach

Abstract

The internet of things (IoT) is a technology representing a rapidly ubiquitous development. The technologies supporting the IoT are becoming significant as it forms the basic need to analyze the environment and making it smarter. So far, the internet in context of IPs is considered as the largest network globally. The collection of data that includes the process of harvesting the monitored data is sensed by a huge number of participating sensors, which presents a challenging task due to its openly built technical issues resulting from typical limitations of WSNs (delivery time, energy, bandwidth) to the lack of standardized data collection of widespread WSN, required for practical deployment in both the upcoming and existing scenarios of IoT. This paper improves the above critical issue with optimizing the process of routing using the algorithm grey wolf optimization (GWO) which represents semantic form of optimization that typically reduces the drop, time delay, and energy.