Resource Allocation for Long Range Wide-Area Network
Resumo
People in smart cities tend to be constantly connected, and wireless connection technologies have become necessary in their routines. The Long Range Wide-Area Network protocol provides a resource allocation mechanism called Adaptive Data Rate that allocates the transmission parameters to increase scalability and reduce the devices’ power consumption. However, ADR prioritizes scalability at the cost of low reliability. In this paper, we propose the PRA and APRA resource allocation mechanisms. Both aims to hierarchy ensure better performance for devices in Long Range networks. While PRA aims to reduce transmission delay and power consumption, APRA reduces packet loss and power consumption while increasing the devices’ battery life. The results showed that the PRA mechanism reduced the ToA and power consumption of high-priority devices by up to 85%. APRA increased up to 5% in packet delivery and 85% in energy savings. Furthermore, APRA’s transmission power allocation mechanism has increased the device’s battery life by up to 28 years.Referências
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Babaki, J., Rasti, M., and Aslani, R. (2020). Dynamic spreading factor and power allocation of lora networks for dense iot deployments. In 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, pages 1–6.
Cuomo, F., Campo, M., Caponi, A., Bianchi, G., Rossini, G., and Pisani, P. (2017). Explora: Extending the performance of lora by suitable spreading factor allocations. In 2017 IEEE 13th WiMob, pages 1–8. IEEE.
Dawaliby, S., Bradai, A., and Pousset, Y. (2019). Adaptive dynamic network slicing in lora networks. Future generation computer systems, 98:697–707.
El-Aasser, M., Elshabrawy, T., and Ashour, M. (2018). Joint spreading factor and coding rate assignment in lorawan networks. In GCIoT, pages 1–7. IEEE.
Gaddam, S. C. and Rai, M. K. (2018). A comparative study on various lpwan and cellular communication technologies for iot based smart applications. In 2018 ICETIETR, pages 1–8. IEEE.
Georgiou, O. and Raza, U. (2017). Low power wide area network analysis: Can lora scale? IEEE Wireless Communications Letters, 6(2):162–165.
Haxhibeqiri, J., De Poorter, E., Moerman, I., and Hoebeke, J. (2018). A survey of lorawan for iot: From technology to application. Sensors, 18(11):3995.
Kassab, W. and Darabkh, K. A. (2020). A–z survey of internet of things: Architectures, protocols, applications, recent advances, future directions and recommendations. Journal of Network and Computer Applications, 163:102663.
Kufakunesu, R., Hancke, G. P., and Abu-Mahfouz, A. M. (2020). A survey on adaptive data rate optimization in lorawan: Recent solutions and major challenges. Sensors, 20(18):5044.
Lima, E., Matni, N., Moraes, J., Oliveira, H., Rosário, D., and Cerqueira, E. (2020). Mecanismo de alocação de recursos para lorawan ciente da prioridade das aplicações de iot. In Anais do XII SBCUP, pages 1–10, Porto Alegre, RS, Brasil. SBC.
Lima, E., Moraes, J., Oliveira, H., Cerqueira, E., Zeadally, S., and Rosário, D. (2021). Adaptive priority-aware lorawan resource allocation for internet of things applications. Ad Hoc Networks, 122:102598.
Matni, N., Moraes, J., Pacheco, L., Rosário, D., Oliveira, H., Cerqueira, E., and Neto, A. (2020). Experimenting Long Range Wide Area Network in an e-Health Environment: Discussion and Future Directions. In 16th IWCMC 2020, Limassol, Cyprus.
Moraes, J., Matni, N., Riker, A., Oliveira, H., Cerqueira, E., Both, C., and Rosário, D. (2020). An Efficient Heuristic LoRaWAN Adaptive Resource Allocation for IoT Applications. In 25th ISCC, pages 1–6. IEEE.
Sanchez-Iborra, R., Sanchez-Gomez, J., Ballesta-Viñas, J., Cano, M.-D., and Skarmeta, A. F. (2018). Performance evaluation of lora considering scenario conditions. Sensors, 18(3):772.
Zeadally, S., Shaikh, F. K., Talpur, A., and Sheng, Q. Z. (2020). Design architectures for energy harvesting in the internet of things. Renewable and Sustainable Energy Reviews, 128:109901.
Zorbas, D., Papadopoulos, G. Z., Maille, P., Montavont, N., and Douligeris, C. (2018). Improving lora network capacity using multiple spreading factor configurations. In 25th ICT 2018, pages 516–520.
Alenezi, M., Chai, K. K., Jimaa, S., and Chen, Y. (2019). Use of unsupervised learning clustering algorithm to reduce collisions and delay within lora system for dense applications. In 2019 IEEE 15th WiMob, pages 1–5. IEEE.
Babaki, J., Rasti, M., and Aslani, R. (2020). Dynamic spreading factor and power allocation of lora networks for dense iot deployments. In 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, pages 1–6.
Cuomo, F., Campo, M., Caponi, A., Bianchi, G., Rossini, G., and Pisani, P. (2017). Explora: Extending the performance of lora by suitable spreading factor allocations. In 2017 IEEE 13th WiMob, pages 1–8. IEEE.
Dawaliby, S., Bradai, A., and Pousset, Y. (2019). Adaptive dynamic network slicing in lora networks. Future generation computer systems, 98:697–707.
El-Aasser, M., Elshabrawy, T., and Ashour, M. (2018). Joint spreading factor and coding rate assignment in lorawan networks. In GCIoT, pages 1–7. IEEE.
Gaddam, S. C. and Rai, M. K. (2018). A comparative study on various lpwan and cellular communication technologies for iot based smart applications. In 2018 ICETIETR, pages 1–8. IEEE.
Georgiou, O. and Raza, U. (2017). Low power wide area network analysis: Can lora scale? IEEE Wireless Communications Letters, 6(2):162–165.
Haxhibeqiri, J., De Poorter, E., Moerman, I., and Hoebeke, J. (2018). A survey of lorawan for iot: From technology to application. Sensors, 18(11):3995.
Kassab, W. and Darabkh, K. A. (2020). A–z survey of internet of things: Architectures, protocols, applications, recent advances, future directions and recommendations. Journal of Network and Computer Applications, 163:102663.
Kufakunesu, R., Hancke, G. P., and Abu-Mahfouz, A. M. (2020). A survey on adaptive data rate optimization in lorawan: Recent solutions and major challenges. Sensors, 20(18):5044.
Lima, E., Matni, N., Moraes, J., Oliveira, H., Rosário, D., and Cerqueira, E. (2020). Mecanismo de alocação de recursos para lorawan ciente da prioridade das aplicações de iot. In Anais do XII SBCUP, pages 1–10, Porto Alegre, RS, Brasil. SBC.
Lima, E., Moraes, J., Oliveira, H., Cerqueira, E., Zeadally, S., and Rosário, D. (2021). Adaptive priority-aware lorawan resource allocation for internet of things applications. Ad Hoc Networks, 122:102598.
Matni, N., Moraes, J., Pacheco, L., Rosário, D., Oliveira, H., Cerqueira, E., and Neto, A. (2020). Experimenting Long Range Wide Area Network in an e-Health Environment: Discussion and Future Directions. In 16th IWCMC 2020, Limassol, Cyprus.
Moraes, J., Matni, N., Riker, A., Oliveira, H., Cerqueira, E., Both, C., and Rosário, D. (2020). An Efficient Heuristic LoRaWAN Adaptive Resource Allocation for IoT Applications. In 25th ISCC, pages 1–6. IEEE.
Sanchez-Iborra, R., Sanchez-Gomez, J., Ballesta-Viñas, J., Cano, M.-D., and Skarmeta, A. F. (2018). Performance evaluation of lora considering scenario conditions. Sensors, 18(3):772.
Zeadally, S., Shaikh, F. K., Talpur, A., and Sheng, Q. Z. (2020). Design architectures for energy harvesting in the internet of things. Renewable and Sustainable Energy Reviews, 128:109901.
Zorbas, D., Papadopoulos, G. Z., Maille, P., Montavont, N., and Douligeris, C. (2018). Improving lora network capacity using multiple spreading factor configurations. In 25th ICT 2018, pages 516–520.
Publicado
22/05/2023
Como Citar
LIMA, Eduardo; CERQUEIRA, Eduardo; OLIVEIRA, Helder.
Resource Allocation for Long Range Wide-Area Network. In: CONCURSO DE TESES E DISSERTAÇÕES - SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 41. , 2023, Brasília/DF.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 104-111.
ISSN 2177-9384.
DOI: https://doi.org/10.5753/sbrc_estendido.2023.710.