| Full text | |
| Author(s): |
Dantas Silva, Felipe S.
[1, 2]
;
Neto, Emidio P.
[1, 2]
;
Oliveira, Helder
[3]
;
Rosario, Denis
[3]
;
Cerqueira, Eduardo
[3]
;
Both, Cristiano
[4]
;
Zeadally, Sherali
[5]
;
Venancio Neto, Augusto
[6, 1]
Total Authors: 8
|
| Affiliation: | [1] Fed Univ Rio Grande do Norte UFRN, Grad Program Syst & Comp PPgSC, Dept Informat & Appl Math DIMAp, BR-59072970 Natal, RN - Brazil
[2] Fed Inst Educ Sci & Technol Rio Grande d Norte IF, LaTARC Res Lab, BR-59628330 Natal, RN - Brazil
[3] Fed Univ Para UFPA, Comp Sci Fac, BR-66075110 Belem, Para - Brazil
[4] Univ Vale Rio dos Sinos UNISINOS, Appl Comp Grad Program, BR-93022750 Sao Leopoldo - Brazil
[5] Univ Kentucky, Coll Commun & Informat, Lexington, KY 40506 - USA
[6] Inst Telecomunicacoes, P-3810193 Aveiro - Portugal
Total Affiliations: 6
|
| Document type: | Journal article |
| Source: | IEEE ACCESS; v. 9, p. 106079-106106, 2021. |
| Web of Science Citations: | 2 |
| Abstract | |
Long-Range Wide-Area Network (LoRaWAN) enables flexible long-range service communications with low power consumption which is suitable for many IoT applications. The densification of LoRaWAN, which is needed to meet a wide range of IoT networking requirements, poses further challenges. For instance, the deployment of gateways and IoT devices are widely deployed in urban areas, which leads to interference caused by concurrent transmissions on the same channel. In this context, it is crucial to understand aspects such as the coexistence of IoT devices and applications, resource allocation, Media Access Control (MAC) layer, network planning, and mobility support, that directly affect LoRaWAN's performance. We present a systematic review of state-of-the-art works for LoRaWAN optimization solutions for IoT networking operations. We focus on five aspects that directly affect the performance of LoRaWAN. These specific aspects are directly associated with the challenges of densification of LoRaWAN. Based on the literature analysis, we present a taxonomy covering five aspects related to LoRaWAN optimizations for efficient IoT networks. Finally, we identify key research challenges and open issues in LoRaWAN optimizations for IoT networking operations that must be further studied in the future. (AU) | |
| FAPESP's process: | 20/05155-6 - Maya project: Innovative and disruptive technologies to prescribe, encourage and evaluate the use of physical activity |
| Grantee: | Pedro Dal Lago |
| Support Opportunities: | Regular Research Grants |