Opportunities for Transmission Power Control Protocols in Wireless Sensor Networks

Jack Hughes; Pavlos Lazaridis; Ian Glover; Andrew Ball

doi:10.23919/IConAC.2017.8082034

Opportunities for Transmission Power Control Protocols in Wireless Sensor Networks

Jack Hughes, Pavlos Lazaridis, Ian Glover, Andrew Ball

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This study investigates the opportunities for transmission power control (TPC) protocols in resource constrained wireless sensor networks (WSNs). The paper begins by creating a generalised model to describe the relationship between transmission power, communication reliability and energy consumption. Applying this model to the performance of state-of-the art radio hardware, the maximum potential energy savings achievable through the implementation of a TPC protocol are identified. From this, previous assumptions about the limited impact of protocols and mechanisms, such as TPC, which seek to reduce the energy consumed by wireless communication activities through targeting the distance dependent term are disproven. This paper concludes by presenting guidelines on the link conditions which offer the greatest opportunities for a TPC protocol.

Original language	English
Title of host publication	Proceedings of the 23rd International Conference on Automation & Computing, (University of Huddersfield, 7-8 September 2017)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	5
ISBN (Electronic)	9780701702601
ISBN (Print)	9781509050406
DOIs	https://doi.org/10.23919/IConAC.2017.8082034
Publication status	Published - 26 Oct 2017
Event	23rd International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing - University of Huddersfield, Huddersfield, United Kingdom Duration: 7 Sep 2017 → 8 Sep 2017 Conference number: 23 https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=41042 (Link to Conference Website)

Conference

Conference	23rd International Conference on Automation and Computing
Abbreviated title	ICAC 2017
Country/Territory	United Kingdom
City	Huddersfield
Period	7/09/17 → 8/09/17
Other	The scope of the conference covers a broad spectrum of areas with multi-disciplinary interests in the fields of automation, control engineering, computing and information systems, ranging from fundamental research to real-world applications.
Internet address	https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=41042 (Link to Conference Website)

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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http://eprints.hud.ac.uk/id/eprint/33601/Licence: Unspecified

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Hughes, J., Lazaridis, P., Glover, I., & Ball, A. (2017). Opportunities for Transmission Power Control Protocols in Wireless Sensor Networks. In Proceedings of the 23rd International Conference on Automation & Computing, (University of Huddersfield, 7-8 September 2017) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/IConAC.2017.8082034

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title = "Opportunities for Transmission Power Control Protocols in Wireless Sensor Networks",

abstract = "This study investigates the opportunities for transmission power control (TPC) protocols in resource constrained wireless sensor networks (WSNs). The paper begins by creating a generalised model to describe the relationship between transmission power, communication reliability and energy consumption. Applying this model to the performance of state-of-the art radio hardware, the maximum potential energy savings achievable through the implementation of a TPC protocol are identified. From this, previous assumptions about the limited impact of protocols and mechanisms, such as TPC, which seek to reduce the energy consumed by wireless communication activities through targeting the distance dependent term are disproven. This paper concludes by presenting guidelines on the link conditions which offer the greatest opportunities for a TPC protocol.",

keywords = "Radio energy modelling, Transmission power control, Wireless sensor networks",

author = "Jack Hughes and Pavlos Lazaridis and Ian Glover and Andrew Ball",

year = "2017",

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doi = "10.23919/IConAC.2017.8082034",

language = "English",

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booktitle = "Proceedings of the 23rd International Conference on Automation & Computing, (University of Huddersfield, 7-8 September 2017)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "23rd International Conference on Automation and Computing : Addressing Global Challenges through Automation and Computing, ICAC 2017 ; Conference date: 07-09-2017 Through 08-09-2017",

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Hughes, J, Lazaridis, P, Glover, I & Ball, A 2017, Opportunities for Transmission Power Control Protocols in Wireless Sensor Networks. in Proceedings of the 23rd International Conference on Automation & Computing, (University of Huddersfield, 7-8 September 2017). Institute of Electrical and Electronics Engineers Inc., 23rd International Conference on Automation and Computing, Huddersfield, United Kingdom, 7/09/17. https://doi.org/10.23919/IConAC.2017.8082034

Opportunities for Transmission Power Control Protocols in Wireless Sensor Networks. / Hughes, Jack; Lazaridis, Pavlos; Glover, Ian et al.

Proceedings of the 23rd International Conference on Automation & Computing, (University of Huddersfield, 7-8 September 2017). Institute of Electrical and Electronics Engineers Inc., 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hughes, Jack

AU - Lazaridis, Pavlos

AU - Glover, Ian

AU - Ball, Andrew

N1 - Conference code: 23

PY - 2017/10/26

Y1 - 2017/10/26

N2 - This study investigates the opportunities for transmission power control (TPC) protocols in resource constrained wireless sensor networks (WSNs). The paper begins by creating a generalised model to describe the relationship between transmission power, communication reliability and energy consumption. Applying this model to the performance of state-of-the art radio hardware, the maximum potential energy savings achievable through the implementation of a TPC protocol are identified. From this, previous assumptions about the limited impact of protocols and mechanisms, such as TPC, which seek to reduce the energy consumed by wireless communication activities through targeting the distance dependent term are disproven. This paper concludes by presenting guidelines on the link conditions which offer the greatest opportunities for a TPC protocol.

AB - This study investigates the opportunities for transmission power control (TPC) protocols in resource constrained wireless sensor networks (WSNs). The paper begins by creating a generalised model to describe the relationship between transmission power, communication reliability and energy consumption. Applying this model to the performance of state-of-the art radio hardware, the maximum potential energy savings achievable through the implementation of a TPC protocol are identified. From this, previous assumptions about the limited impact of protocols and mechanisms, such as TPC, which seek to reduce the energy consumed by wireless communication activities through targeting the distance dependent term are disproven. This paper concludes by presenting guidelines on the link conditions which offer the greatest opportunities for a TPC protocol.

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KW - Transmission power control

KW - Wireless sensor networks

UR - http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800563

U2 - 10.23919/IConAC.2017.8082034

DO - 10.23919/IConAC.2017.8082034

M3 - Conference contribution

SN - 9781509050406

BT - Proceedings of the 23rd International Conference on Automation & Computing, (University of Huddersfield, 7-8 September 2017)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 23rd International Conference on Automation and Computing

Y2 - 7 September 2017 through 8 September 2017

ER -

Opportunities for Transmission Power Control Protocols in Wireless Sensor Networks

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UN SDGs

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