Otimização da Trajetória de Drones como Gateway de Comunicação para Sensores IoT
Resumo
Este trabalho propõe um modelo de otimização de trajetória de vôo para drones que servem como gateway de comunicação ou mula de dados para sensores IoT (Internet of Things) distribuídos em um Campus Inteligente. Este drone possui autonomia energética (bateria) limitada, e em muitos casos não pode sobrevoar o percurso necessário para atender todos os sensores existentes no conjunto alocado. Por isso o artigo propõe, utilizando Programação Linear, um modelo que assegure que o máximo de sensores sejam atendidos considerando a autonomia encontrada no drone.
Palavras-chave:
VANTs, IoT, Planejamento de Vôo, Otimização de Trajetória
Referências
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Kirichek, R. (2016). The model of data delivery from the wireless body area network to the cloud server with the use of unmanned aerial vehicles. In ECMS, pages 603–606.
MCTIC (2017). Plano nacional de iot. http://www.mctic.gov.br/mctic/opencms/salaImprensa /noticias/?titulo=IoT. Data acesso: Julho 2018.
Menouar, H., Guvenc, I., Akkaya, K., Uluagac, A. S., Kadri, A., and Tuncer, A. (2017). Uav-enabled intelligent transportation systems for the smart city: Applications and challenges. IEEE Communications Magazine, 55(3):22–28.
Mozaffari, M., Saad, W., Bennis, M., and Debbah, M. (2016a). Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage. IEEE Communicati-ons Letters, 20(8):1647–1650.
Mozaffari, M., Saad, W., Bennis, M., and Debbah, M. (2016b). Unmanned aerial vehicle with underlaid device-to-device communications: Performance and tradeoffs. IEEE Transactions on Wireless Communications, 15(6):3949–3963.
Mozaffari, M., Saad, W., Bennis, M., and Debbah, M. (2017). Mobile unmanned aerial vehicles (uavs) for energy-efficient internet of things communications. IEEE Transac-tions on Wireless Communications, 16(11):7574–7589.
Ouahouah, S., Taleb, T., Song, J., and Benzaid, C. (2017). Efficient offloading mechanism for uavs-based value added services. In Communications (ICC), 2017 IEEE Internati-onal Conference on, pages 1–6. IEEE.
Seiber, C., Nowlin, D., Landowski, B., and Tolentino, M. E. (2018). Tracking hazardous aerial plumes using iot-enabled drone swarms. In Internet of Things (WF-IoT), 2018 IEEE 4th World Forum on, pages 377–382. IEEE.
Snow (2014). Why drones are the future of the internet of things? http://droneanalyst.com/2014/12/01/drones-are-the-future-of-iot/. Data acesso: Julho 2018.
Stankovic, J. A. (2014). Research directions for the internet of things. IEEE Internet of Things Journal, 1(1):3–9.
Vermesan, O. and Friess, P. (2013). Internet of things: converging technologies for smart environments and integrated ecosystems. River Publishers.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., and Zorzi, M. (2014). Internet of things for smart cities. IEEE Internet of Things journal, 1(1):22–32.
Zeng, Y., Zhang, R., and Lim, T. J. (2016). Throughput maximization for uav-enabled mobile relaying systems. IEEE Transactions on Communications, 64(12):4983–4996.
Jiang, F. and Swindlehurst, A. L. (2012). Optimization of uav heading for the ground-to-air uplink. IEEE Journal on Selected Areas in Communications, 30(5):993–1005.
Kirichek, R. (2016). The model of data delivery from the wireless body area network to the cloud server with the use of unmanned aerial vehicles. In ECMS, pages 603–606.
MCTIC (2017). Plano nacional de iot. http://www.mctic.gov.br/mctic/opencms/salaImprensa /noticias/?titulo=IoT. Data acesso: Julho 2018.
Menouar, H., Guvenc, I., Akkaya, K., Uluagac, A. S., Kadri, A., and Tuncer, A. (2017). Uav-enabled intelligent transportation systems for the smart city: Applications and challenges. IEEE Communications Magazine, 55(3):22–28.
Mozaffari, M., Saad, W., Bennis, M., and Debbah, M. (2016a). Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage. IEEE Communicati-ons Letters, 20(8):1647–1650.
Mozaffari, M., Saad, W., Bennis, M., and Debbah, M. (2016b). Unmanned aerial vehicle with underlaid device-to-device communications: Performance and tradeoffs. IEEE Transactions on Wireless Communications, 15(6):3949–3963.
Mozaffari, M., Saad, W., Bennis, M., and Debbah, M. (2017). Mobile unmanned aerial vehicles (uavs) for energy-efficient internet of things communications. IEEE Transac-tions on Wireless Communications, 16(11):7574–7589.
Ouahouah, S., Taleb, T., Song, J., and Benzaid, C. (2017). Efficient offloading mechanism for uavs-based value added services. In Communications (ICC), 2017 IEEE Internati-onal Conference on, pages 1–6. IEEE.
Seiber, C., Nowlin, D., Landowski, B., and Tolentino, M. E. (2018). Tracking hazardous aerial plumes using iot-enabled drone swarms. In Internet of Things (WF-IoT), 2018 IEEE 4th World Forum on, pages 377–382. IEEE.
Snow (2014). Why drones are the future of the internet of things? http://droneanalyst.com/2014/12/01/drones-are-the-future-of-iot/. Data acesso: Julho 2018.
Stankovic, J. A. (2014). Research directions for the internet of things. IEEE Internet of Things Journal, 1(1):3–9.
Vermesan, O. and Friess, P. (2013). Internet of things: converging technologies for smart environments and integrated ecosystems. River Publishers.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., and Zorzi, M. (2014). Internet of things for smart cities. IEEE Internet of Things journal, 1(1):22–32.
Zeng, Y., Zhang, R., and Lim, T. J. (2016). Throughput maximization for uav-enabled mobile relaying systems. IEEE Transactions on Communications, 64(12):4983–4996.
Publicado
08/08/2018
Como Citar
RODRIGUES, Lucas Soares; CARDOSO, Kleber Viera; BORGES, Vinicius da C. M.; C. DE OLIVEIRA JR., Antônio.
Otimização da Trajetória de Drones como Gateway de Comunicação para Sensores IoT. In: ESCOLA REGIONAL DE INFORMÁTICA DE GOIÁS (ERI-GO), 2018. , 2018, Goiânia.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
p. 67-78.
