Abbas, Q, Zeb, S, Hassan, SA et al. (2 more authors) (2020) Joint optimization of Age of Information and Energy Efficiency in IoT Networks. In: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 25-28 May 2020, Belgium. IEEE ISBN 9781728152073
Abstract
Age of information (AoI) refers to the freshness of data generated by a status-update system. It is a crucial metric in networks such as Internet of things (IoT), specially when the underlying application demands fresh update. In environmental monitoring and smart agriculture, apart from the importance of AoI, energy efficiency (EE) becomes inevitable owing to network longevity. This paper studies an IoT network where the end devices transfer their information to a central gateway residing on a moving platform such as a tractor, which collects information from a large number of sensors in an agri-field. An optimal trajectory of the mobile reader is proposed using a modified nearest neighbor algorithm to gather the information from randomly distributed sensors. A clustering algorithm is also used to cluster the data in such a way that the overall EE of the network is maximized keeping a desired AoI and outage probability.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Power system reliability , Probability , Clustering algorithms , Internet of Things , Intelligent sensors , Agriculture |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Oct 2020 08:48 |
Last Modified: | 23 Oct 2020 07:59 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/vtc2020-spring48590.2020.9129207 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166073 |