A Task Scheduling Strategy for Utility Maximization in a Renewable-Powered IoT Node; IEEE Global Communications Conference (GLOBECOM 2018)

A Task Scheduling Strategy for Utility Maximization in a Renewable-Powered IoT Node; IEEE Global Communications Conference (GLOBECOM 2018)

Bibliographic Details
Parent link:IEEE Global Communications Conference (GLOBECOM 2018).— 2018.— [18472586, 6 p.]
Corporate Author: Томский политехнический университет Институт кибернетики, ИК
Other Authors: Leithon J. Johann, Suarez L. A. Luis, Dzhayakodi Arachshiladzh D. N. K. Dushanta Nalin Kumara, Anis Muhammad M. Moiz
Summary:Title screen
In this paper, we propose a task scheduling strategy for an Internet of Things (IoT) node powered by renewable energy (RE). The node is assumed to have a rechargeable battery and an RE harvester. Moreover, the node is requested to perform M tasks over a planning period of N = M time slots. Each task is assigned a priority rating and a reward. With these considerations we develop a mathematical framework to optimize the utility of the node, defined as the sum of rewards over the specified planning horizon. Using the proposed framework, we derive a genie-aided strategy, which serves as a performance benchmark for online algorithms. We then propose an online task scheduling strategy, which uses existing forecasting methods to estimate future RE production. We finally evaluate the performance of the proposed strategy and its robustness to forecasting errors through extensive simulations. The impact of system parameters such as battery size and RE harvesting capacity are also examined numerically.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2018
Subjects:
труды учёных ТПУ
электронный ресурс
Online Access:https://doi.org/10.1109/GLOCOM.2018.8647691
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660495

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