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Energy harvesting network with wireless distributed computing

Alfaqawi, Mohammed and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul and Siddiqi, Mohammad Umar (2019) Energy harvesting network with wireless distributed computing. IEEE Systems Journal, early access. pp. 1-12. ISSN 1932-8184 E-ISSN 1937-9234

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Bulky processing tasks are expected to burden the limited resources of energy harvesters by draining the stored energy, and thereby, reaching rapidly to energy causality constraint. In such scenario, energy harvesters flip into sleep mode, and thereby, the execution time of the next task will be delayed until the energy harvesters revert back into active mode. To tackle this problem, this paper proposes a novel energy harvesting network (EHN) that deploys wireless distributed computing (WDC) network within the decision making process (DMP). The DMP is formulated as constrained partially observable Markov decision process in order to enable the energy harvesters to act under uncertainty. Furthermore, various challenges of WDC networks, e.g., nominating the collaborating nodes and task allocation, have been addressed herein. Unlike conventional research works on WDC networks, a system model is proposed for WDC network based on divisible load theory instead of graph theory. In addition, an adaptive task allocation algorithm is proposed to distribute the task efficiently among the collaborating nodes. Finally, the novel EHN system is analyzed and compared against the conventional research works on WDC, offloading computing, and local computing-EHN, where the proposed system is found to outperform in terms of energy and delay.

Item Type: Article (Journal)
Additional Information: 6727/70850
Uncontrolled Keywords: —Divisible load theory (DLT), energy harvesting network (EHN), reinforcement learning, task allocation, wireless distributed computing (WDC).
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr. Md. Rafiqul Islam
Date Deposited: 05 Mar 2019 14:32
Last Modified: 30 Mar 2020 12:51
URI: http://irep.iium.edu.my/id/eprint/70850

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