Energy-efficient chain-based data gathering applied to communicating concrete
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 net...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-08-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720939028 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832547242152558592 |
|---|---|
| author | Hang Wan Michael David William Derigent |
| author_facet | Hang Wan Michael David William Derigent |
| author_sort | Hang Wan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9dc6d9ffccb743e6ac8158b5bd8bdfdf |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2020-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-9dc6d9ffccb743e6ac8158b5bd8bdfdf2025-02-03T06:45:37ZengWileyInternational Journal of Distributed Sensor Networks1550-14772020-08-011610.1177/1550147720939028Energy-efficient chain-based data gathering applied to communicating concreteHang WanMichael DavidWilliam DerigentWireless 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.https://doi.org/10.1177/1550147720939028 |
| spellingShingle | Hang Wan Michael David William Derigent Energy-efficient chain-based data gathering applied to communicating concrete International Journal of Distributed Sensor Networks |
| title | Energy-efficient chain-based data gathering applied to communicating concrete |
| title_full | Energy-efficient chain-based data gathering applied to communicating concrete |
| title_fullStr | Energy-efficient chain-based data gathering applied to communicating concrete |
| title_full_unstemmed | Energy-efficient chain-based data gathering applied to communicating concrete |
| title_short | Energy-efficient chain-based data gathering applied to communicating concrete |
| title_sort | energy efficient chain based data gathering applied to communicating concrete |
| url | https://doi.org/10.1177/1550147720939028 |
| work_keys_str_mv | AT hangwan energyefficientchainbaseddatagatheringappliedtocommunicatingconcrete AT michaeldavid energyefficientchainbaseddatagatheringappliedtocommunicatingconcrete AT williamderigent energyefficientchainbaseddatagatheringappliedtocommunicatingconcrete |