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Energy Efficient Cooperative Computation Algorithm in Energy Harvesting Internet of Things

Authors
Ko, HaneulLee, JaewookJang, SeokwonKim, JoonwooPack, Sangheon
Issue Date
11월-2019
Publisher
MDPI
Keywords
offloading; Internet of Things (IoT); energy; constraint Markov decision process (CMDP); optimization
Citation
ENERGIES, v.12, no.21
Indexed
SCIE
SCOPUS
Journal Title
ENERGIES
Volume
12
Number
21
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/62062
DOI
10.3390/en12214050
ISSN
1996-1073
Abstract
The limited battery capacity of Internet of Things (IoT) devices is a major deployment barrier for IoT-based computing systems. In this paper, we propose an energy efficient cooperative computation algorithm (EE-CCA). In an EE-CCA, a pair of IoT devices decide whether to offload some parts of the task to the opponent by considering their energy levels and the task deadline. To minimize the energy outage probability while completing most of tasks before their deadlines, we formulate a constraint Markov decision process (CMDP) problem and the optimal offloading strategy is obtained by linear programming (LP). Meanwhile, an optimization problem of finding pairs of IoT devices (i.e., IoT device pairing problem) is formulated under the optimal offloading strategy. Evaluation results demonstrate that the EE-CCA can reduce the energy outage probability up to 78% compared with the random offloading scheme while completing tasks before their deadlines with high probability.
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Graduate School > Department of Computer and Information Science > 1. Journal Articles
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공과대학 (전기전자공학부)
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