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Data Driven Transmission Power Control for Wireless Sensor Networks

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Internet and Distributed Computing Systems (IDCS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9258))

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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.

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Acknowledgment

This work has been partially supported by ARTEMIS project DEMANES (Design, Monitoring and Operation of Adaptive Networked Embedded Systems, contract 295372). I also take this opportunity to thank my colleague Chetan Belagal for providing his valuable insights.

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Authors and Affiliations

  1. Technical University Eindhoven (TU/e), Department of Electrical Engineering, 5600 MB, Building 19 Flux, PO Box 513, Eindhoven, The Netherlands

    Roshan Kotian, Georgios Exarchakos & Antonio Liotta

Authors
  1. Roshan Kotian
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  2. Georgios Exarchakos
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  3. Antonio Liotta
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Corresponding author

Correspondence to Roshan Kotian .

Editor information

Editors and Affiliations

  1. School of Systems Engineering, University of Reading, Reading, Berkshire, United Kingdom

    Giuseppe Di Fatta

  2. Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica, University of Calabria Dipartimento di Ingegneria Informat, Rende, Italy

    Giancarlo Fortino

  3. School of Logistics and Engineer, University of Technology Wuhan, Wuhan, China

    Wenfeng Li

  4. CSIRO ICT, Acton, Australia

    Mukaddim Pathan

  5. School of Systems Engineering, University of Reading, Whiteknights, Reading, United Kingdom

    Frederic Stahl

  6. Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica, University of Calabria, Rende, Italy

    Antonio Guerrieri

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Kotian, R., Exarchakos, G., Liotta, A. (2015). Data Driven Transmission Power Control for Wireless Sensor Networks. In: Di Fatta, G., Fortino, G., Li, W., Pathan, M., Stahl, F., Guerrieri, A. (eds) Internet and Distributed Computing Systems. IDCS 2015. Lecture Notes in Computer Science(), vol 9258. Springer, Cham. https://doi.org/10.1007/978-3-319-23237-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-23237-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23236-2

  • Online ISBN: 978-3-319-23237-9

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