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Low Power Wide Area Networks: An Overview [PDF]
IEEE Communications Surveys and Tutorials, 2017 \c{opyright} 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any ...
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Survey of the low power wide area network technologies
Journal of Network and Computer Applications, 2020Abstract With the number of connected devices in Internet of Things (IoT) increasing, the requirements for connectivity (e.g., battery life, deployment cost and coverage) are evolving to ensure effective communication between these devices. The emerging low power wide area (LPWA) technologies pave a way to address the problem as they can provide ...
Fei Gu 0001 +4 more
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Low-Power Wide-Area Networks at the IETF
IEEE Communications Standards Magazine, 2017A new breed of wireless technologies has emerged under the generic name of low-power, wide-area (LPWA), with a number of common characteristics that make these technologies uniquely suitable for Internet of Things (IoT) applications. These common characteristics include a power-optimized radio network, a simplified network topology, frame sizes in the ...
Pascal Thubert +2 more
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Proceedings of the Workshop Program of the 19th International Conference on Distributed Computing and Networking, 2018
Low-Power Wide-Area Network (LPWAN) is an emerging network technology for Internet of Things (IoT) which offers long-range and wide-area communication at low-power. It thus overcomes the range limits and scalability challenges associated with traditional short range wireless sensor networks.
Dali Ismail +2 more
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Low-Power Wide-Area Network (LPWAN) is an emerging network technology for Internet of Things (IoT) which offers long-range and wide-area communication at low-power. It thus overcomes the range limits and scalability challenges associated with traditional short range wireless sensor networks.
Dali Ismail +2 more
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Modelling and analysis of low-power wide-area networks
2017 IEEE International Conference on Communications (ICC), 2017In this paper, we investigate the uplink transmission performance of low-power wide-area networks (LPWANs) with regards to coexisting radio modules using LoRa as an example. In doing so we adopt a new topology to model the network where the node locations of the network of focus (LoRa) follow a Poisson cluster process (PCP) while other coexisting ...
Zhijin Qin +3 more
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High-Density Low Power Wide Area Networks
2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2018The potential of WSN related to the IoT concept is immense. According to a Cisco study the IoT will merge with other engineering areas such as artificial intelligence (AI), fog computing and blockchain technologies, creating new business opportunities.
Alexandru Lavric, Adrian-Ioan Petrariu
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Collision Evaluation in Low Power Wide Area Networks
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2019This paper presents a performance evaluation of intercell interference and packets collision in scalable Low Power Wide Area Networks (LPWANs). The collision problem is one of the most critical challenges in LPWANs because it can substantially affect network performance and reliability.
Riyadh A. Abbas +3 more
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Crowdsourcing low-power wide-area IoT networks
2017 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2017The Internet of Things (IoT) promises to allow everyday objects to connect to the Internet and seamlessly interact with users and other machines. For this vital Internet connection, most current IoT devices use a personal gateway device such as a smartphone or a home WiFi access point.
Keyi Zhang, Alan Marchiori
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