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http://dx.doi.org/10.7236/IJIBC.2019.11.1.27

Communication Performance of BLE-based IoT Devices and Routers for Tracking Indoor Construction Resources  

Yoo, Moo-Young (Department of Architectural Engineering, Hanyang University)
Yoo, Sung Geun (Nano IT Design Fusion Graduate School, Seoul Natl. University of Science and Technology)
Park, Sangil (Nano IT Design Fusion Graduate School, Seoul Natl. University of Science and Technology)
Publication Information
International Journal of Internet, Broadcasting and Communication / v.11, no.1, 2019 , pp. 27-38 More about this Journal
Abstract
Sensors collect information for Internet of Things (IoT)-based services. However, indoor construction sites have a poor communication environment and many interfering elements that make it difficult to collect sensor information. In this study, a network was constructed between a Bluetooth Low Energy (BLE)-based IoT device based on a serverless IoT framework and a router. This experimental environment was applied to large- and small-scale indoor construction sites. Experiments were performed to test the communication performance of BLE-based IoT devices and routers at indoor construction sites. An analysis of the received signal strength indication (RSSI) graph patterns collected from the communication between the BLE-based IoT devices and routers for different testbed site situation revealed areas with good communication performance and poor communication performance due to interfering factors. The results confirmed that structural components of the building as well as the materials, equipment, and temporary facilities used in indoor construction interfere with the communication performance. Construction project managers will require improved technical knowledge of IoT, such as optimizing the router placement and matching communication between the router and workers, to improve the communication performance for large-scale indoor construction.
Keywords
Serverless IoT framework; BLE-based IoT device; router; indoor construction; RSSI;
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1 Moon, S.; Zekavat, P.R.; Bernold, L.E. Dynamic control of construction supply chain to improve labor performance. J. Constr. Eng. Manag. 2015, 141(6), 05015002.   DOI
2 Kisner, S.M.; Fosbroke, D.E. Injury hazards in the construction industry. J. Occup. Environ. Med. 1994, 36, 137-143.   DOI
3 Bureau of Labor Statistics. National Census of Fatal Occupational Injuries in 2000, News Publication No. USDL 01-261; Bureau of Labor Statistics: Washington DC, USA, 2001.
4 Navon, R.; Kolton, O. Model for automated monitoring of fall hazards in building construction, J. Constr. Eng. Manag. 2006, 132(7), DOI: 10.1061/(ASCE)0733-9364(2006)132:7(733) .
5 Directorate-General for Employment: Social Affairs and Equal Opportunities (European Commission). Causes and Circumstances of Accidents at Work in the EU; Office for Official Publications of the European Communities: Luxembourg, 2008.
6 European Agency for Safety and Health at Work. Occupational Safety and Health and Economic Performance in Small and Medium-sized Enterprises: A Review; Office for Official Publications of the European Communities: Luxembourg, 2009.
7 Tuchsen, F.; Christensen, K.B.; Feveile, H.; Dyreborg, J. Work injuries and disability. J. Saf. Res. 2009, 40, 21-24.   DOI
8 Ham, N.; Moon, S.; Kim, J.H.; Kim, J.J. Economic analysis of design errors in BIM-based high-rise construction projects: Case study of Haeundae L Project. J. Constr. Eng. Manag. 2018, 144(6), 05018006.   DOI
9 Moon, S.; Forlani, J.; Wang, X.; Tam, V. Productivity study of the scaffolding operations in liquefied natural gas plant construction: Ichthys project in Darwin, Northern Territory, Australia. J. Prof. Issues Eng. Educ. Pract. 2016, 142(4), 04016008.   DOI
10 Carbonari, A.; Giretti, A.; Naticchia, B. A proactive system for real-time safety management in construction sites. Autom. Constr. 2011, 20, 686-698.   DOI
11 Abderrahim, M.; Garcia, E.; Diez, R.; Balaguer, C. A mechatronics security system for the construction site. Autom. Constr. 2005, 14, 460-466.   DOI
12 Park, D.J.; Choi, Y.B.; Nam, K.C. RFID-based RTLS for improvement of operation system in container terminals. In Proceedings of the Asia-Pacific Conference on Communications, Busan, South Korea, August 2006; pp. 1-5.
13 Riaz, Z.; Edwards, D.J.; Thorpe, A. SightSafety: A hybrid information and communication technology system for reducing vehicle/pedestrian collisions. Autom. Constr. 2006, 15, 719-728.   DOI
14 Navon, R.; Sacks, R. Assessing research issues in automated project performance control (APPC). Autom. Constr. 2007, 16, 474-484.   DOI
15 Lee, H.S.; Lee, K.P.; Park, M.; Baek, Y.; Lee, S. RFID-based real-time locating system for construction safety management. J. Comput. Civ. Eng. 2012, 26(3), 366-377.   DOI
16 Boulos, M.N.K.; Berry, G. Real-time locating systems (RTLS) in healthcare: A condensed primer. Int. J. Health Geogr. 2012, 11(1), 25.   DOI
17 Li, N.; Calis, G.; Becerik-Gerber, B. Measuring and monitoring occupancy with an RFID based system for demand-driven HVAC operations. Autom. Constr. 2012, 24, 89-99.   DOI
18 Li, N.; Li, S.; Becerik-Gerber, B.; Calis, G. Deployment strategies and performance evaluation of a virtual-tag-enabled indoor location sensing approach. J. Comput. Civ. Eng. 2012, 26(5), 574-583.   DOI
19 Vaha, P.; Heikkila, T.; Kilpelainen, P.; Jarviluoma, M.; Gambao, E. Extending automation of building construction - survey on potential sensor technologies and robotic applications. Autom. Constr. 2013, 36, 168-178.   DOI
20 Taneja, S.; Akcamete, A.; Akinci, B.; Garrett Jr., J.H.; Soibelman, L.; East, E.W. Analysis of three indoor localization technologies for supporting operations and maintenance field tasks. J. Comput. Civ. Eng. 2012, 26(6), 708-719.   DOI
21 Howard, N.; Cambria, E. Intention awareness: Improving upon situation awareness in human-centric environments. Hum. Centric Comput. Inf. Sci. 2013, 3, 9.   DOI
22 Moon, S.; Xu, S.; Hou, L.; Wu, C.; Wang, X.; Tam, V.W. RFID-aided tracking system to improve work efficiency of scaffold supplier: Stock management in Australasian supply chain. J. Constr. Eng. Manag. 2017, 144(2), 04017115.   DOI
23 Benlamri, R.; Zhang, X. Context-aware recommender for mobile learners. Hum. Centric Comput. Inf. Sci. 2014, 4, 12.   DOI
24 Ibrahim, N.; Mohammad, M.; Alagar, V. Publishing and discovering context-dependent services. Hum. Centric Comput. Inf. Sci. 2013, 3, 1.   DOI
25 Kim, H.J.; Kang, J.H. Dynamic group management schema for sustainable and secure information sensing in IoT. Sustainability 2016, 8, 1081; DOI: 10.3390/su8101081.   DOI
26 Lee, E.J.; Kim, C.H.; Jung, I.Y. An intelligent green service in Internet of Things. J. Converg. 2014, 5, 4-8.
27 Roberts, M. Serverless Architectures. Available online: http://martinfowler.com/articles/serverless.html (accessed on [date]).
28 Zanca, G.; Zorzi, F.; Zanella, A.; Zorzi, M. Experimental comparison of RSSI-based localization algorithms for indoor wireless sensor networks. In Proceedings of the Workshop on Real-world Wireless Sensor Networks, Glasgow, UK, April 2008.
29 Yoo, S.; Park, S. A proposed message format for serverless IoT software architecture. In Proceedings of the 4th International Symposium on Advanced and Applied Convergence, Jeju Island, South Korea, November 2016.