期刊
ELECTRONICS
卷 11, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/electronics11010164
关键词
IoT; LPWAN; LoRa; LoRaWAN; LoRa simulation tools
资金
- Universiti Malaysia Pahang (UMP) [PDU203229, PGRS200340]
This paper provides a comparative review of five driving LPWAN technologies and finds that LoRa/LoRaWAN and SigFox outperform other technologies in terms of device lifetime, network capacity, adaptive data rate, and cost. NB-IoT technology excels in latency and quality of service. The paper also presents a technical overview of LoRa/LoRaWAN technology, introduces various simulation tools for analyzing its network performance, and classifies recent efforts to improve its energy consumption, data extraction rate, scalability, coverage, quality of service, and security.
Low-power wide-area network (LPWAN) technologies play a pivotal role in IoT applications, owing to their capability to meet the key IoT requirements (e.g., long range, low cost, small data volumes, massive device number, and low energy consumption). Between all obtainable LPWAN technologies, long-range wide-area network (LoRaWAN) technology has attracted much interest from both industry and academia due to networking autonomous architecture and an open standard specification. This paper presents a comparative review of five selected driving LPWAN technologies, including NB-IoT, SigFox, Telensa, Ingenu (RPMA), and LoRa/LoRaWAN. The comparison shows that LoRa/LoRaWAN and SigFox surpass other technologies in terms of device lifetime, network capacity, adaptive data rate, and cost. In contrast, NB-IoT technology excels in latency and quality of service. Furthermore, we present a technical overview of LoRa/LoRaWAN technology by considering its main features, opportunities, and open issues. We also compare the most important simulation tools for investigating and analyzing LoRa/LoRaWAN network performance that has been developed recently. Then, we introduce a comparative evaluation of LoRa simulators to highlight their features. Furthermore, we classify the recent efforts to improve LoRa/LoRaWAN performance in terms of energy consumption, pure data extraction rate, network scalability, network coverage, quality of service, and security. Finally, although we focus more on LoRa/LoRaWAN issues and solutions, we introduce guidance and directions for future research on LPWAN technologies.
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