Autonomous Navigation Control of UAV Using Wireless Smart Meter Devices

• Autorzy: Ueda Kiyoshi , Miyoshi Takumi

Identyfikatory

DOI

10.26636/jtit.2019.132319

• Języki publikacji: EN

Abstrakty

EN

In preparation for the upcoming home delivery services that rely on Unmanned Aerial Vehicles (UAVs), we developed a new multi-hop radio network that is laid over a smart meter network transferring electric energy information only. In this network, a UAV follows, for navigation purposes, the topology of a virtual network overlaid on the physical smart meter network. We established a service management control method which does not rely on image analysis or map information processing, i.e. processes that consume precious power resources of the UAV. Instead, navigation is based on the routing technology. The current distance between the UAV and a node of the smart meter network is measured by means of the radio transmission loss value, therefore determining the position of the UAV. A two-layer network model has been proposed. One layer consists of a network of nodes in a residential area with scattered buildings – a location that is safer to navigate – while the other is an access network of nodes in a densely populated area. Then, we proposed methods to determine the direction of movement towards the next hop node on the data-link layer and the end node on the network layer, which is the target destination. We implemented a software-based test system and verified the effectiveness of the proposed methods.

Słowa kluczowe

EN

ad-hoc network; routing; smart meter network; UAV delivery

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2019
• Tom: nr 2
• Strony: 64--72
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Ueda Kiyoshi

• College of Engineering, Nihon University, Koriyama, Japan

autor

Miyoshi Takumi

• College of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Japan

Bibliografia

• [1] “IPv6 routing protocol for low power and Lossy networks (RPL)”, Routing Over Low power and Lossy networks (ROLL) WG, IETF, RFC 6550, March 2012 [Online]. Available: https://tools.ietf.org/ html/rfc6550.
• [2] “Amazon Prime Air” [Online]. Available: https://www.amazon.com/ Amazon-Prime-Air/b?ie=UTF8&node=8037720011 (accessed Oct. 29, 2018).
• [3] “Wing”, Google Project [Online]. Available: https://x.company/ projects/wing/ (accessed Oct. 29, 2018).
• [4] K. Miyazaki, M. Mochizuki, K. Murao, and N. Nishio, “Crossassistive approach for PDR and Wi-Fi positioning”, in Proc. of the 2014 ACM Int. Joint Conf. on Pervas. and Ubiqui. Comput. UbiComp’14, Seattle, WA, USA, 2014, pp. 777–786 (doi: 10.1145/2638728.2641303).
• [5] “Ad hoc On-Demand Distance Vector (AODV) Routing”, IETF, RFC 3561, July 2003 [Online]. Available: https://tools.ietf.org/ html/rfc3561.
• [6] “Optimized Link State Routing Protocol (OLSR)”, IETF, RFC 3626, Oct. 2003 [Online]. Available: https://tools.ietf.org/html/rfc3626.
• [7] H. Narumi, Y. Shiraishi, and O. Takahashi, “A reliable cluster-based routing algorithm for MANET”, in Proc. of the Int. Worksh. on Informat. IWIN 2009, Honolulu, Hawaii, USA, 2009, pp. 44–51, 2009 [Online]. Available: http://www.infsoc.org/conference/ iwin2009/IWIN2009-Proceedings v2.pdf.
• [8] Rec. ITU-R P.676-5, “Attenuation by atmospheric gaps”, ITU, 2001 [Online]. Available: https://itu.int/dms pubrec/itu-r/rec/p/ R-REC-P.676-5-200102-S!!PDF-E.pdf.
• [9] Rec. ITU-R P.838-2, “Specific attenuation model for rain for use in prediction methods”, ITU, 2003 [Online]. Available: https://itu.int/ dms pubrec/itu-r/rec/p/R-REC-P.838-2-200304-S!!PDF-E.pdf.
• [10] K. Ueda and T. Miyoshi, “Autonomous navigation control of UAV using wireless smart meter devices”, in Proc. of the Inform. and Commun. Technol. Forum ICTF 2018, Graz, Austria, 2018.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).