Adding redundancy to LoRaWAN for emergency communications at the factory floorShow others and affiliations
2022 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 18, no 10, p. 7332-7340Article in journal (Refereed) Published
Abstract [en]
Wireless communications may be the key solution to satisfy mobility, flexibility and scalability requirements of the Internet of Things (IoT). Particularly, the Low Power Wide Area Networks (LPWANs), operating in unlicensed bands, are promising because they permit both private and public backends. Unfortunately, their target applications are situations where sporadic transmissions are tolerated. They could not fit scenarios in which high reliability and short round trip time are required. In this paper, the LoRaWAN solution is considered for managing emergency and alarm communications. Reliability and timeliness limits have been overcome by jointly using a message replication scheme with variable payload length together with low-cost repeaters. Experiments have been carried out in both fixed and low-speed mobility scenarios (with an interfering traffic of 95 message/h generated by regular LoRaWAN co-located network). Results, in the former case, show that the success probability of confirmed messages is 100%, the 99.6% of the available data are delivered to the backend, and the average delay decreases by 150 ms. When mobility is considered (e.g., for an Automatic Guided Vehicle -AGV- use case) results confirm significant improvements for both the transaction success ratio and the data extraction rate, that significantly increase up to 95% and 87%, respectively. On the contrary, the overall average delay is not always reduced.
Place, publisher, year, edition, pages
2022. Vol. 18, no 10, p. 7332-7340
Keywords [en]
Data mining, Downlink, emergency management, Floors, industrial automation, Industry 4.0, LoRaWAN, Protocols, Redundancy, Uplink, Wireless communication, Wireless sensor networks
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:miun:diva-43712DOI: 10.1109/TII.2021.3124054ISI: 000838389400085Scopus ID: 2-s2.0-85118648164OAI: oai:DiVA.org:miun-43712DiVA, id: diva2:1611772
2021-11-162021-11-162022-09-08Bibliographically approved