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Energy-efficient chain-based data gathering applied to communicating concrete

Author

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  • Hang Wan
  • Michael David
  • William Derigent

Abstract

Wireless Sensor Networks are very convenient to monitor structures or even materials, as in McBIM project (Materials communicating with the Building Information Modeling). This project aims to develop the concept of “communicating concretes,†which are concrete elements embedding wireless sensor networks, for applications dedicated to Structure Health Monitoring in the construction industry. Due to applicative constraints, the topology of the wireless sensor network follows a chain-based structure. Node batteries cannot be replaced or easily recharged, it is crucial to evaluate the energy consumed by each node during the monitoring process. This area has been extensively studied leading to different energy models to evaluate energy consumption for chain-based structures. However, no simple, practical, and analytical network energy models have yet been proposed. Energy evaluation models of periodic data collection for chain-based structures are proposed. These models are compared and evaluated with an Arduino XBee–based platform. Experimental results show the mean prediction error of our models is 5%. Realizing aggregation at nodes significantly reduces energy consumption and avoids hot-spot problem with homogeneous consumptions along the chain. Models give an approximate lifetime of the wireless sensor network and communicating concretes services. They can also be used online by nodes for a self-assessment of their energy consumptions.

Suggested Citation

  • Hang Wan & Michael David & William Derigent, 2020. "Energy-efficient chain-based data gathering applied to communicating concrete," International Journal of Distributed Sensor Networks, , vol. 16(8), pages 15501477209, August.
  • Handle: RePEc:sae:intdis:v:16:y:2020:i:8:p:1550147720939028
    DOI: 10.1177/1550147720939028
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    References listed on IDEAS

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    1. Farnaz Derakhshan & Shamim Yousefi, 2019. "A review on the applications of multiagent systems in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 15(5), pages 15501477198, May.
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    Cited by:

    1. Seema J. Kampli & D. Ramesh & K. B. Shivakumar, 2022. "Markov model based dynamic chain routing protocol for grid WSN," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2261-2268, October.

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