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

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.

Interoperable Digital Building Twins Through Communicating Materials and Semantic BIM

“…To optimize the network's overall energy, a rotation of the CH role over time is considered. Other techniques were explored in works like energy harvesting [17] or data reduction [26].…”

“…13 as white lines). The data sent by the real communicating concrete feeds the different energy models contained in each node [26]. Using these models, the concrete digital twin reports an estimation of nodes' remaining energy levels, which are used to evaluate the remaining network lifetime.…”

A sink based data gathering technique by using clustering for wireless sensor networks

“…In order to achieve this objective, the techniques must have some appropriate routing metrics for routing decision. The complex methods consume more energy of sensor nodes and also cause of network data load handling and management [10]. The main issue in WSN network are different obstacles where the protocols are suffered with performance degradation.…”

Smart concrete: an illustration through a smart concrete chess game of potential applications in construction 4.0

“…Depending of the needs targeted, the type of intelligence in concrete construction can be ranked into three levels: st level-Information, i.e. for traceability of products Since 2017, 360smartconnect [1,2], a French firm, turned concrete into a data-sharing smart device for construction (figure 1). The concrete includes an electronic device directly inserted that interacts with smartphones, communicating everything from building plans.…”