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IJSTR >> Volume 9 - Issue 3, March 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Hybrid Gravitational Search Algorithm And Quick Energy Based Scheduling For Internet Of Things

[Full Text]



Palvi Arora, Supreet Kaur



Cloud computing, genetic algorithm, gravitational search algorithm, Internet of Things



With the advancement in multimedia applications, the Internet of things (IoT) devices becomes popular to build smart devices. The scheduling techniques are widely accepted to schedule the workload between these IoT devices. From the review, it has been found that the use of a genetic algorithm has shown a low convergence rate to the true global minimum even at high numbers of dimensions. The majority of existing job scheduling techniques for IoT suffer from stuck in local optima issue. Gravitational Search Algorithm has been widely accepted as a global optimization algorithm of current interest for distributed optimization and control. Therefore, in this paper, a hybrid gravitational search and quick energy-based scheduling algorithm are designed and implemented. Extensive experiments reveal that the proposed technique outperforms competitive techniques in terms of various performance metrics.



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