Evaluation of low power wide area network technologies for smart urban drainage systems

Malik, Hassan, Kändler, Nils, Alam, Muhammad Mahtab, Annus, Ivar, Le Moullec, Yannick and Kuusik, Alar (2018) Evaluation of low power wide area network technologies for smart urban drainage systems. In: 2018 IEEE International Conference on Environmental Engineering, EE 2018 - Proceedings. 2018 IEEE International Conference on Environmental Engineering, EE 2018 - Proceedings . The Institute of Electrical and Electronics Engineers (IEEE), ITA, pp. 1-5. ISBN 9781538641828

Full text not available from this repository. (Request a copy)

Abstract

Smart urban drainage systems (SUDS) with real-time control are considered to be one of the prominent approaches to tackle the impact of climate change which results in heavy rainfall and floods in urban areas. However, the lack of reliable and efficient communication with sensors buried underground is considered as one of the main deficiencies preventing ubiquitous application of SUDS. With the recent developments of new noise insensitive technologies for ultra-narrow band (UNB) and chirp spread spectrum (CSS) communication, introducing new low-power long-range communication technologies (e.g. NB-IoT, LoRa), implementation of such drainage systems is becoming feasible. This paper presents a comparative study of NB-IoT and LoRa and evaluate the potential of these technologies to be used for SUDS. The study is conducted in different underground scenarios such as dry and damp conditions to highlight the potential benefits offered by LoRa and NB-IoT in terms of coverage, information rate, and energy consumption. It has been shown through the simulation results that NB-IoT offers capillary coverage with a high level of scalability as compared to LoRa. Furthermore, NB-IoT also provide high information rate and low energy consumption and is best suited for underground scenarios.

Item Type:	Book Section
Additional Information:	ACKNOWLEDGEMENT “This research was supported by the Estonian Research Council through the Institutional Research Funding IUT19-17, and by the Horizon 2020 ERA-chair Grant Cognitive Electronics COEL H2020-WIDESPREAD-2014-2 (Agreement number: 668995; project TTU code VFP15051). This material reflects only the authors view and the EC Research Executive Agency is not responsible for any use that may be made of the information it contains”.
Uncontrolled Keywords:	coverage,energy consumption,information rate,lora,narrowband internet of things (nb-iot),smart drainage system,instrumentation,environmental engineering,management, monitoring, policy and law,sdg 7 - affordable and clean energy,sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/3100/3105
Faculty \ School:	Faculty of Science > School of Computing Sciences
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	02 Jul 2025 16:30
Last Modified:	14 Jul 2025 12:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/99818
DOI:	10.1109/EE1.2018.8385262

Actions (login required)

View Item