Open AccessA Multi‐queue Approach of Energy Efficient Task Scheduling for Sensor Hubs
Author(s) -
Huang Jiwei,
Zhang Chenxiang,
Zhang Jianbing
Publication year - 2020
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2020.02.001
Subject(s) - computer science , queue , scheduling (production processes) , distributed computing , lyapunov optimization , efficient energy use , internet of things , real time computing , task (project management) , wireless sensor network , the internet , computer network , mathematical optimization , embedded system , artificial intelligence , engineering , lyapunov exponent , mathematics , systems engineering , world wide web , chaotic , electrical engineering , lyapunov redesign
With the emergence of Internet of things (IoT), sensor hubs, which integrate data from different sensors, play increasingly important role. Energy efficiency is one of the most important issues for sensor hubs. To attack this challenge, this paper proposes a task scheduling scheme for sensor hubs to improve their energy efficiency. A multi‐queue‐based framework is designed, and its theoretical model and the corresponding mathematical analyses are presented. By optimizing the model with Lyapunov optimization techniques, an algorithm of energy efficient task scheduling in sensor hubs is proposed. Finally, simulation experiments based on real‐life data extracted from Internet of vehicles (IoV) environments are conducted to validate the efficacy of the approach.