Data driven transmission power control for wireless sensor networks

Roshan kotian; Georgios Exarchakos; Antonio Liotta

doi:10.1007/978-3-319-23237-9_8

Data driven transmission power control for wireless sensor networks

Roshan kotian, Georgios Exarchakos, Antonio Liotta

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

3 Citations (Scopus)

4 Downloads (Pure)

Abstract

Transmission Power Control (TPC) is employed in the sensor nodes with the main objective of minimizing transmission power consumption. However, major drawbacks with well-known TPC are time consuming and energy inefficient initialization phase. Moreover, they employ Received Signal Strength Indicator (RSSI), Link Quality Indicator (LQI) metrics for initialization phase that are sensitive to environmental conditions and hence are not appropriate parameters to adjust the power. To overcome these shortcomings of existing TPC, we propose a novel TPC algorithm dubbed as Data-Driven Transmission Power Control (DA-TPC) that has shorter initialization phase and uses priority of data as the only metric to adjust the power level. The two main aims of this paper are to minimize power consumption during initialization phase and to show how by utilizing priority of data as a sole metric for power adaptation improves reliability and decreases not only latency but also overall energy consumption while transmitting data packets.

Original language	English
Title of host publication	Data Driven Transmission Power Control for Wireless Sensor Networks
Editors	G. Di Fatta, G. Fortino, W. Li, M. Pathan, F. Stahl, A. Guerrieri
Publisher	Springer
Pages	75-87
Number of pages	13
ISBN (Electronic)	978-3-319-23237-9
ISBN (Print)	978-3-319-23236-2
DOIs	https://doi.org/10.1007/978-3-319-23237-9_8
Publication status	Published - 25 Aug 2015
Event	8th International Conference on Internet and Distributed Computing Systems (IDCS 2015), September 2-4, 2015, Windsor, UK - Cumberland Lodge, Windsor, United Kingdom Duration: 2 Sept 2015 → 4 Sept 2015 http://idcs2015.reading.ac.uk/

Publication series

Name	Lecture Notes in Computer Science
Volume	9258

Conference

Conference	8th International Conference on Internet and Distributed Computing Systems (IDCS 2015), September 2-4, 2015, Windsor, UK
Abbreviated title	IDCS 2015
Country/Territory	United Kingdom
City	Windsor
Period	2/09/15 → 4/09/15
Internet address	http://idcs2015.reading.ac.uk/

Keywords

Wireless Sensor Networks
Routing
Reliability
Transmission Power Control
latency

UN SDGs

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

Access to Document

10.1007/978-3-319-23237-9_8

Cite this

kotian, R., Exarchakos, G., & Liotta, A. (2015). Data driven transmission power control for wireless sensor networks. In G. Di Fatta, G. Fortino, W. Li, M. Pathan, F. Stahl, & A. Guerrieri (Eds.), Data Driven Transmission Power Control for Wireless Sensor Networks (pp. 75-87). (Lecture Notes in Computer Science; Vol. 9258). Springer. https://doi.org/10.1007/978-3-319-23237-9_8

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title = "Data driven transmission power control for wireless sensor networks",

abstract = "Transmission Power Control (TPC) is employed in the sensor nodes with the main objective of minimizing transmission power consumption. However, major drawbacks with well-known TPC are time consuming and energy inefficient initialization phase. Moreover, they employ Received Signal Strength Indicator (RSSI), Link Quality Indicator (LQI) metrics for initialization phase that are sensitive to environmental conditions and hence are not appropriate parameters to adjust the power. To overcome these shortcomings of existing TPC, we propose a novel TPC algorithm dubbed as Data-Driven Transmission Power Control (DA-TPC) that has shorter initialization phase and uses priority of data as the only metric to adjust the power level. The two main aims of this paper are to minimize power consumption during initialization phase and to show how by utilizing priority of data as a sole metric for power adaptation improves reliability and decreases not only latency but also overall energy consumption while transmitting data packets.",

keywords = "Wireless Sensor Networks, Routing, Reliability, Transmission Power Control, latency",

author = "Roshan kotian and Georgios Exarchakos and Antonio Liotta",

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booktitle = "Data Driven Transmission Power Control for Wireless Sensor Networks",

address = "Germany",

note = "8th International Conference on Internet and Distributed Computing Systems (IDCS 2015), September 2-4, 2015, Windsor, UK, IDCS 2015 ; Conference date: 02-09-2015 Through 04-09-2015",

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kotian, R , Exarchakos, G & Liotta, A 2015, Data driven transmission power control for wireless sensor networks. in G Di Fatta, G Fortino, W Li, M Pathan, F Stahl & A Guerrieri (eds), Data Driven Transmission Power Control for Wireless Sensor Networks. Lecture Notes in Computer Science, vol. 9258, Springer, pp. 75-87, 8th International Conference on Internet and Distributed Computing Systems (IDCS 2015), September 2-4, 2015, Windsor, UK, Windsor, United Kingdom, 2/09/15. https://doi.org/10.1007/978-3-319-23237-9_8

Data driven transmission power control for wireless sensor networks. / kotian, Roshan ; Exarchakos, Georgios; Liotta, Antonio.
Data Driven Transmission Power Control for Wireless Sensor Networks. ed. / G. Di Fatta; G. Fortino; W. Li; M. Pathan; F. Stahl; A. Guerrieri. Springer, 2015. p. 75-87 (Lecture Notes in Computer Science; Vol. 9258).

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

TY - GEN

T1 - Data driven transmission power control for wireless sensor networks

AU - kotian, Roshan

AU - Exarchakos, Georgios

AU - Liotta, Antonio

PY - 2015/8/25

Y1 - 2015/8/25

N2 - Transmission Power Control (TPC) is employed in the sensor nodes with the main objective of minimizing transmission power consumption. However, major drawbacks with well-known TPC are time consuming and energy inefficient initialization phase. Moreover, they employ Received Signal Strength Indicator (RSSI), Link Quality Indicator (LQI) metrics for initialization phase that are sensitive to environmental conditions and hence are not appropriate parameters to adjust the power. To overcome these shortcomings of existing TPC, we propose a novel TPC algorithm dubbed as Data-Driven Transmission Power Control (DA-TPC) that has shorter initialization phase and uses priority of data as the only metric to adjust the power level. The two main aims of this paper are to minimize power consumption during initialization phase and to show how by utilizing priority of data as a sole metric for power adaptation improves reliability and decreases not only latency but also overall energy consumption while transmitting data packets.

AB - Transmission Power Control (TPC) is employed in the sensor nodes with the main objective of minimizing transmission power consumption. However, major drawbacks with well-known TPC are time consuming and energy inefficient initialization phase. Moreover, they employ Received Signal Strength Indicator (RSSI), Link Quality Indicator (LQI) metrics for initialization phase that are sensitive to environmental conditions and hence are not appropriate parameters to adjust the power. To overcome these shortcomings of existing TPC, we propose a novel TPC algorithm dubbed as Data-Driven Transmission Power Control (DA-TPC) that has shorter initialization phase and uses priority of data as the only metric to adjust the power level. The two main aims of this paper are to minimize power consumption during initialization phase and to show how by utilizing priority of data as a sole metric for power adaptation improves reliability and decreases not only latency but also overall energy consumption while transmitting data packets.

KW - Wireless Sensor Networks

KW - Routing

KW - Reliability

KW - Transmission Power Control

KW - latency

U2 - 10.1007/978-3-319-23237-9_8

DO - 10.1007/978-3-319-23237-9_8

M3 - Conference contribution

SN - 978-3-319-23236-2

T3 - Lecture Notes in Computer Science

SP - 75

EP - 87

BT - Data Driven Transmission Power Control for Wireless Sensor Networks

A2 - Di Fatta, G.

A2 - Fortino, G.

A2 - Li, W.

A2 - Pathan, M.

A2 - Stahl, F.

A2 - Guerrieri, A.

PB - Springer

T2 - 8th International Conference on Internet and Distributed Computing Systems (IDCS 2015), September 2-4, 2015, Windsor, UK

Y2 - 2 September 2015 through 4 September 2015

ER -

Data driven transmission power control for wireless sensor networks

Abstract

Publication series

Conference

Keywords

UN SDGs

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