TY - JOUR
T1 - Experimental Evaluation of a Campus-Deployed IoT Network Using LoRa
AU - Kulkarni, Parag
AU - Hakim, Qornitah Othman Abdul
AU - Lakas, Abderrahmane
N1 - Funding Information:
Manuscript received October 3, 2019; revised November 4, 2019; accepted November 4, 2019. Date of publication November 14, 2019; date of current version February 5, 2020. This work was supported by the United Arab Emirates University through a SURE+ research grant under Grant G00002825. The associate editor coordinating the review of this article and approving it for publication was Dr. Ashish Pandharipande. (Corresponding author: Parag Kulkarni.) The authors are with the Computer and Network Engineering Department, College of IT, United Arab Emirates University, Al Ain, United Arab Emirates (e-mail: parag@uaeu.ac.ae; 201540260@ uaeu.ac.ae; alakas@uaeu.ac.ae). Digital Object Identifier 10.1109/JSEN.2019.2953572
Publisher Copyright:
© 2001-2012 IEEE.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - The emergence of the Internet of Things (IoT) has redefined sensor networking with an unprecedented increase in the number of applications leveraging sensor technology in a myriad of domains. This has also revolutionized the communication technology required to network these sensors to exploit their potential. Short range wireless technologies provide high data rate and typically operate in the unlicensed band. Cellular technologies on the other hand provide relatively longer range, higher data rate and operate in the licensed spectrum. The need to bridge the gap between these two, i.e., provide a low cost and longer range solution with the ability to connect massive number of geographically spread out devices using the unlicensed spectrum led to the emergence of Low Power Wide Area Networks (LPWAN). Long Range (LoRa), one of the LPWAN technologies continues to attract attention given its open specification and ready availability of off-the-shelf hardware with claims of several kms of range in harsh challenging environments. In this paper we put these claims under test through extensive measurements carried out over a test-bed deployed in a University campus. The conducted tests focused on the link quality and transmission performance based on various parameters such as the spreading factor (SF), coding rates (CR), bandwidth for different radio propagation scenarios. Findings from this study show that the achievable performance can greatly vary and prompts caution when taking numbers at face value as this can have implications for the IoT applications.
AB - The emergence of the Internet of Things (IoT) has redefined sensor networking with an unprecedented increase in the number of applications leveraging sensor technology in a myriad of domains. This has also revolutionized the communication technology required to network these sensors to exploit their potential. Short range wireless technologies provide high data rate and typically operate in the unlicensed band. Cellular technologies on the other hand provide relatively longer range, higher data rate and operate in the licensed spectrum. The need to bridge the gap between these two, i.e., provide a low cost and longer range solution with the ability to connect massive number of geographically spread out devices using the unlicensed spectrum led to the emergence of Low Power Wide Area Networks (LPWAN). Long Range (LoRa), one of the LPWAN technologies continues to attract attention given its open specification and ready availability of off-the-shelf hardware with claims of several kms of range in harsh challenging environments. In this paper we put these claims under test through extensive measurements carried out over a test-bed deployed in a University campus. The conducted tests focused on the link quality and transmission performance based on various parameters such as the spreading factor (SF), coding rates (CR), bandwidth for different radio propagation scenarios. Findings from this study show that the achievable performance can greatly vary and prompts caution when taking numbers at face value as this can have implications for the IoT applications.
KW - Internet of Things (IoT)
KW - LPWAN
KW - LoRa
KW - sensor networks
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U2 - 10.1109/JSEN.2019.2953572
DO - 10.1109/JSEN.2019.2953572
M3 - Article
AN - SCOPUS:85078418812
SN - 1530-437X
VL - 20
SP - 2803
EP - 2811
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 5
M1 - 8901183
ER -