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Clustered WSN for Building Energy Management Applications

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Science and Technologies for Smart Cities (SmartCity 360 2021)

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Abstract

Wireless sensor networks are usually deployed in mesh topologies using radio communication links. The mesh selforganizes to route data packets from sensors to the sink. However, if not carefully designed, this may create holes of uncovered areas and energy holes when many networks paths traverse a limited number of sensors. This paper presents the design and performance evaluation of a low-cost clustered wireless sensor network for Building Energy Management (BEM) applications using Bluetooth Low Energy (BLE) and Better Approach to Mobile Ad-hoc Networking (BATMAN). The latter is used to interconnect gateways and cluster headers that have enough power to forward packets and make computations without compromising their battery lifetime, while the former is used to connect sensors to a cluster header. A prototype of a BEM application has been developed and the performance of the network was tested. Results show that the throughput and latency achieved are adequate for BEM applications.

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Acknowledgment

This research has been partially funded by the Spanish National Plan of Research, Development and Innovation under the project OCAS (RTI2018-094849-B-100) and the University of Oviedo.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Oviedo, Gijón, Asturias, Spain

    Luis Magadán, Francisco J. Suárez, Juan C. Granda & Daniel F. García

Authors
  1. Luis Magadán
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  2. Francisco J. Suárez
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  3. Juan C. Granda
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  4. Daniel F. García
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Corresponding author

Correspondence to Luis Magadán .

Editor information

Editors and Affiliations

  1. Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal

    Sara Paiva

  2. Auckland University of Technology, Auckland, New Zealand

    Xuejun Li

  3. Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal

    Sérgio Ivan Lopes

  4. SRM Institute of Science and Technology, Chennai, India

    Nishu Gupta

  5. Howard University, Washington, DC, USA

    Danda B. Rawat

  6. Stoke-on-Trent, Birmingham, UK

    Asma Patel

  7. Politecnico di Milano, Milan, Italy

    Hamid Reza Karimi 

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Magadán, L., Suárez, F.J., Granda, J.C., García, D.F. (2022). Clustered WSN for Building Energy Management Applications. In: Paiva, S., et al. Science and Technologies for Smart Cities. SmartCity 360 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-031-06371-8_43

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  • DOI: https://doi.org/10.1007/978-3-031-06371-8_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06370-1

  • Online ISBN: 978-3-031-06371-8

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