Intelligent Energy Efficient UAV Enabled Computation Offloading for Industrial Internet of Things

<title>Abstract</title> <p>Industrial The internet of things (IIoT) has beenused in many areas. in recent times to attend maximum efficiencyin several applications. The major drawback that is identified inthis technology is prolonging the lifetime of devices. To enhancenetwork performance from such kind of drawbacks, UnmannedAerial Vehicles (UAVs) are developed so that we can be ableto build an energy efficient industrial IoT network. To developan efficient UAV based computational process in this article anintelligent energy efficient UAV enabled computation offloadingprocesses (IEUV-IIoT) is introduced. Which consist of certainmodules like UAV localization process, UAV competition model,UAV communication model, UAV power consumption and UAVcomputation offloading process. Through this methodology theefficiency of utilizing the UAV is improvised even though it handles huge number of devices in the industrial IoT environment.This module implemented in MATLAB and the performance ofthe devices are analyzed with the presence of the parameterslike message success rate, UAVs efficiency, UAVs lifetime, deviceefficiency, energy efficiency, routing overhead, end to end delay,packet loss and The throughput and end outcome are comparedwith previous baseline approaches such as EDCU-IOT, RECUIOT, and DELU-IOT. The results and discussion demonstratethat the proposed IEUV-IIoT achieved superior performance forUAV efficiency and longevity.</p>