The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Communication Network Topology and Performance Evaluation of the Drone Delivery System for Collision Avoidance

충돌회피를 위한 드론택배 시스템의 통신망 토폴로지 및 성능평가

  • Received : 2015.07.29
  • Accepted : 2015.08.23
  • Published : 2015.08.31
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Abstract

Recently, many companies try to offer various services using drones. Especially, the drone delivery system is a good example. However, the drone delivery service has some problems since the heavy parcels flies over the people walking down streets, so many things must be considered such as dropping mails by collision of drones. To resolve the problem, in this paper, a inter-drone network communication will be used to design the topology and to simulate in the Opnet simulator for the performance evaluation. Additionally, the topology with random mobility of trajectory of drones is also designed and simulated for the result.

최근 기업에서는 드론을 이용하여 다양한 상업적인 서비스를 시도하고 있다. 특히, 드론을 이용한 택배서비스가 그 좋은 예라고 할 수 있다. 그러나, 이러한 드론 택배시스템은 사람들이 활보하는 거리 위에서 무거운 물건들을 배송하는 일이기 때문에 서로 충돌로 인한 소포가 떨어지는 등 다양한 사안을 고려해야만 한다. 이러한 문제점을 해결하기 위해 본 논문에서는 드론간 통신을 활용하고자 하며 예상되는 드론의 통신망 토폴로지를 Opnet 시뮬레이터로 구현하고, 해당 통신망의 성능을 시뮬레이션하고 분석하였다. 추가적으로 자유 운동적(random mobility)인 이동경로의 토폴로지도 구현하여 제안한 드론망의 성능과 비교분석하였다.

Keywords

References

  1. U. Volovelsky, "Civilian uses of unmanned aerial vehicles and the threat to the right to privacy - An Israeli case study", Computer Law & Security Review, vol. 30, 2014, pp. 306-320. https://doi.org/10.1016/j.clsr.2014.03.008
  2. S. Yun, H. Son, and Y. Rhee, "A Study of Head Up Display System for Next Generation Vehicle", J. of The Korea Institute of Electronic Communication Sciences, vol. 6, no. 3, 2011, pp.439-444.
  3. J. Park, J. Choi, and Y. Bae, "Scientometric Analysis of Autonomous Vehicle through Paper Analysis of each Nation", J. of The Korea Institute of Electronic Communication Sciences, vol. 12, no. 7, 2013, pp.321-328.
  4. G. Salvo, "Urban traffic analysis through an UAV", Procedia Social and Behavioral Sciences 111, Elsevier, 2014, pp.532-539.
  5. S. Kim, "A Study on the attitude control of the quadrotor using neural networks", J. of The Korea Institute of Electronic Communication Sciences, vol. 9, no. 9, 2014, pp.1019-1025. https://doi.org/10.13067/JKIECS.2014.9.9.1019
  6. S. Kim, H. Oh, J. Suk, and A. Tsourdos, "Coordinated trajectory planning for efficient communication relay using multiple UAVs", Control Engineering Practice 29, Elsevier, vol. 7, no. 2, 2014, pp. 42-29.
  7. S. Ge and F. Lewis, "Autonomous Mobile Robots, Sensing: Control, Decision Making and Applications", 2006, CRC Press.
  8. D. Fagnant and K. Kockelman, "The travel and environmental implications of shared autonomous vehicles, using agent based model scenarios", Transportation Research Part C, 2014, pp.1-13.
  9. G. Cena, A. Valenzano and S. Vitturi, "Advances in automotive digital communications", Computer Standards & Interfaces, vol. 4, no. 2, 2005, pp.665-678.
  10. Z. Sharef, A. Alaradi, and B. Sharef, "Performance Evaluation for WiMAX 802.16e OFDMA Physical layer", In Computational Intelligence, Communication Systems and Networks(: CICSyN), Fourth International Conference on, 2012, pp. 351-355.

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  1. The MANET based Distributed Control Communications for Remote Controlled drones vol.53, pp.5, 2016, https://doi.org/10.5573/ieie.2016.53.5.168