The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
A Survey on LoRa Networking: Research Problems, Current Solutions, and Open Issues
Open accessAbstract
Wireless networks have been widely deployed for many Internet-of-Things (IoT) applications, like smart cities and precision agriculture. Low Power Wide Area Networking (LPWAN) is an emerging IoT networking paradigm to meet three key requirements of IoT applications, i.e., low cost, large scale deployment and high energy efficiency. Among all available LPWAN technologies, LoRa networking has attracted much attention from both academia and industry, since it specifies an open standard and allows us to build autonomous LPWAN networks without any third-party infrastructure. Many LoRa networks have been developed recently, e.g., managing solar plants in Carson City, Nevada, USA and power monitoring in Lyon and Grenoble, France. However, there are still many research challenges to develop practical LoRa networks, e.g., link coordination, resource allocation, reliable transmissions and security. This article provides a comprehensive survey on LoRa networks, including the technical challenges of deploying LoRa networks and recent solutions. Based on our detailed analysis of current solutions, some open issues of LoRa networking are discussed. The goal of this survey paper is to inspire more works on improving the performance of LoRa networks and enabling more practical deployments.
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Cites
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“Different from the above mentioned surveys [9], [16], our survey is focused on LoRa networks.”
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Cited by
Massive Access for 5G and Beyond
Chen, X., Ng, D. W. K., Yu, W., Larsson, E. G., Al-Dhahir, N., & Schober, R. (2021) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3019724 · Cited by 681
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey
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IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges
Quy, V. K., Hau, N. V., Anh, D. V., Quy, N. M., Ban, N. T., Lanza, S., Randazzo, G., & Muzirafuti, A. (2022) · Applied Sciences · doi:10.3390/app12073396 · Cited by 458
Survey on Network Slicing for Internet of Things Realization in 5G Networks
Wijethilaka, S., & Liyanage, M. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3067807 · Cited by 451
A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges
Jouhari, M., Saeed, N., Alouini, M.-S., & Amhoud, E. M. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3274934 · Cited by 365
Metadata
- Authors
- Shanmuga Sundaram, J. P., Du, W., & Zhao, Z.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2020
- Volume
- 22
- Issue
- 1
- Pages
- 371-388
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2981455641
- Cited by
- 517
- References
- 76
- FWCI
- 18.42
- Type
- journal article
- Language
- en
- Open access
- green
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