An Optimized Energy Aware Code Offloading Using Task Scheduling Algorithm for Wireless Sensor Networks

Abstract

Various services are provided by cloud computing in the internet-based network process. When assigning jobs to the off-loader, code analysis and task scheduling are essential. Because the purpose of task scheduling is to reduce overall execution time, which in turn lowers energy consumption, researchers have demonstrated that this issue is a non-polynomial complete problem. In order to reduce energy usage when tasks must be computed in a short amount of time, this paper addresses the problem of activity scheduling within a given set of tasks |V|. To assess codes or tasks before offloading to the scheduler to make judgments based on specific factors, an optimization algorithm is presented known as optimized greedy-hill algorithm to analyze codes or tasks before offloading to the scheduler to make decisions based on certain parameters. The proposed scheme is simulated, performance evaluation shows that the algorithm runs faster in execution time compared to the existing Hungarian algorithm.