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A Survey of Link Quality Properties Related to Transmission Power Control Protocols in Wireless Sensor Networks

Hughes, Jack Bryan, Lazaridis, Pavlos, Glover, Ian and Ball, Andrew (2017) A Survey of Link Quality Properties Related to Transmission Power Control Protocols in Wireless Sensor Networks. In: 2017 23rd IEEE International Conference on Automation and Computing (ICAC). Institute of Electrical and Electronics Engineers Inc.. ISBN 9780701702618, 9780701702601

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Abstract

Transmission Power Control (TPC) protocols are poised for wide spread adoption in wireless sensor networks (WSNs) to address energy constraints. The link quality properties that need to be captured in order to identify the optimum transmission power (TP) have not been clearly defined and previous works have presented conflicting views on the matter. This has led to several current TPC protocols using vastly different link quality properties and reporting unreliable, unstable and inefficient network performance. In this work, observations from several empirical studies on low-power wireless links are applied to identify the most critical properties of link quality for a TPC protocol. Comparing the requirements against currently available link quality estimators, it is shown that link quality estimation in WSNs is still very much an open challenge and one that must be addressed in order to implement an accurate and reliable TPC protocol.

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Item Type: Book Chapter
Additional Information: © 2017 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.”
Uncontrolled Keywords: Link Quality Estimation, Link Quality Properties, Transmission Power Control, Wireless Sensor Networks.
Subjects: T Technology > T Technology (General)
Schools: School of Computing and Engineering
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Depositing User: Jack Hughes
Date Deposited: 02 Jul 2018 14:50
Last Modified: 11 Oct 2018 11:30
URI: http://eprints.hud.ac.uk/id/eprint/34487

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