IoT Resource Allocation and Optimization Based on Heuristic Algorithm
1
School of Computing Science and Engineering, Vellore Institute of Technology (VIT), Vellore 632014, India
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Deportment of Computer Engineering, Islamic Azad University Behshahr Branch, Behshahr 511-48515, Iran
3
Department of Computer Engineering, Islamic Azad University, Babol Branch, Babol 47179-95449, Iran
4
Department of Computer Science and Computer Engineering, La Trobe University, Melbourne VIC 3086 Australia
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(2), 539; https://doi.org/10.3390/s20020539
Received: 19 December 2019
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Revised: 11 January 2020
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Accepted: 12 January 2020
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Published: 18 January 2020
(This article belongs to the Special Issue Sensor Fusion for IoT Applications)
The Internet of Things (IoT) is a distributed system that connects everything via internet. IoT infrastructure contains multiple resources and gateways. In such a system, the problem of optimizing IoT resource allocation and scheduling (IRAS) is vital, because resource allocation (RA) and scheduling deals with the mapping between recourses and gateways and is also responsible for optimally allocating resources to available gateways. In the IoT environment, a gateway may face hundreds of resources to connect. Therefore, manual resource allocation and scheduling is not possible. In this paper, the whale optimization algorithm (WOA) is used to solve the RA problem in IoT with the aim of optimal RA and reducing the total communication cost between resources and gateways. The proposed algorithm has been compared to the other existing algorithms. Results indicate the proper performance of the proposed algorithm. Based on various benchmarks, the proposed method, in terms of “total communication cost”, is better than other ones.
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Keywords:
internet of things; resource allocation problem; whale optimization algorithm; communication cost
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MDPI and ACS Style
Sangaiah, A.K.; Hosseinabadi, A.A.R.; Shareh, M.B.; Bozorgi Rad, S.Y.; Zolfagharian, A.; Chilamkurti, N. IoT Resource Allocation and Optimization Based on Heuristic Algorithm. Sensors 2020, 20, 539. https://doi.org/10.3390/s20020539
AMA Style
Sangaiah AK, Hosseinabadi AAR, Shareh MB, Bozorgi Rad SY, Zolfagharian A, Chilamkurti N. IoT Resource Allocation and Optimization Based on Heuristic Algorithm. Sensors. 2020; 20(2):539. https://doi.org/10.3390/s20020539
Chicago/Turabian StyleSangaiah, Arun K., Ali A.R. Hosseinabadi, Morteza B. Shareh, Seyed Y. Bozorgi Rad, Atekeh Zolfagharian, and Naveen Chilamkurti. 2020. "IoT Resource Allocation and Optimization Based on Heuristic Algorithm" Sensors 20, no. 2: 539. https://doi.org/10.3390/s20020539
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