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ETTAF: Efficient Target Tracking and Filming with a Flying Ad Hoc Network

Published: 07 September 2015 Publication History

Abstract

In the context of Flying Ad hoc NETworks (FANET), this paper proposes a controlled mobility routing scheme to efficiently tracking a Moving Point of Interest (MPI). Once the MPI has been localized and its position reported to a ground station (GS), the best path in terms of number of Unmanned Aerial Vehicles (UAVs) participating in the routing and their positions is computed in a centralized way and the UAVs chosen for the routing are informed about the positions to move to. Upon the construction of the path between the MPI and the GS, the UAVs involved in the routing move in order to track the MPI movements without losing connectivity with the GS. The proposed scheme minimizes the energy consumption while enhancing the performance of the FANET by increasing the throughput and reducing the delay, thus allowing FANET designers to foresee QoS constrained applications.

References

[1]
K. Akkaya, F. Senel, A. Thimmapuram, and S. Uludag. Distributed recovery from network partitioning in movable sensor/actor networks via controlled mobility. Computers, IEEE Transactions on, 59(2):258--271, Feb 2010.
[2]
I. Bekmezci, O. K. Sahingoz, and S. Temel. Flying ad-hoc networks (fanets). Ad Hoc Netw., 11(3):1254--1270, May 2013.
[3]
G. Di Caro and E. Flushing. Optimal relay node placement for throughput enhancement in wireless sensor networks. In 50th FITCE Congress (FITCE), pages 1--6, Aug 2011.
[4]
D. K. Goldenberg, J. Lin, A. S. Morse, B. E. Rosen, and Y. R. Yang. Towards mobility as a network control primitive. In MobiHoc. Proceedings of the 5th ACM International Symposium on Mobile Ad Hoc Networking and Computing, pages 163--174, New York, NY, USA, 2004. ACM.
[5]
S. Gomes and J. Ramos. Airship dynamic modeling for autonomous operation. In Robotics and Automation. Proceedings. IEEE International Conference on, volume 4, pages 3462--3467, May 1998.
[6]
V. Loscrı, E. Natalizio, and C. Costanzo. Simulations of the impact of controlled mobility for routing protocols. EURASIP J. Wirel. Commun. Netw., 2010:7--12, Apr 2010.
[7]
M. Ma'sum, G. Jati, M. Arrofi, A. Wibowo, P. Mursanto, and W. Jatmiko. Autonomous quadcopter swarm robots for object localization and tracking. In Micro-NanoMechatronics and Human Science (MHS), International Symposium on, pages 1--6, Nov 2013.
[8]
B. Mohler, W. Thompson, S. Creem-Regehr, J. Pick, HerbertL., and J. Warren, WilliamH. Visual flow influences gait transition speed and preferred walking speed. Experimental Brain Research, 181(2):221--228, 2007.
[9]
F. Mourad, H. Chehade, H. Snoussi, F. Yalaoui, L. Amodeo, and C. Richard. Controlled mobility sensor networks for target tracking using ant colony optimization. Mobile Computing, IEEE Transactions on, 11(8):1261--1273, Aug 2012.
[10]
E. Natalizio, V. Loscri, F. Guerriero, and A. Violi. Energy spaced placement for bidirectional data flows in wireless sensor network. Communications Letters, IEEE, 13(1):22--24, Jan 2009.
[11]
E. Natalizio, V. Loscri, and E. Viterbo. Optimal placement of wireless nodes for maximizing path lifetime. Communications Letters, IEEE, 12(5):362--364, May 2008.
[12]
E. Natalizio, R. Surace, V. Loscri, F. Guerriero, and T. Melodia. Filming Sport Events with Mobile Camera Drones: Mathematical Modeling and Algorithms. Research report, Dec 2012.
[13]
D. W. Pentico. Assignment problems: A golden anniversary survey. European Journal of Operational Research, 176(2):774--793, 2007.
[14]
K. Ramya, K. Praveen Kumar, and V. Dr. Srinivas Rao. A survey on target tracking techniques in wireless sensor networks. International Journal of Computer Science and Engineering Survey (IJCSES), 3(4), Aug 2012.
[15]
I. Stojmenovic and X. Lin. Power-aware localized routing in wireless networks. Parallel and Distributed Systems, IEEE Transactions on, 12(11):1122--1133, Nov 2001.
[16]
C. Teuliere, L. Eck, and E. Marchand. Chasing a moving target from a flying uav. In Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on, pages 4929--4934, Sept 2011.
[17]
W. Wang, V. Srinivasan, and K.-C. Chua. Extending the lifetime of wireless sensor networks through mobile relays. IEEE/ACM Trans. Netw., 16(5):1108--1120, Oct 2008.
[18]
R. Wise and R. Rysdyk. chapter UAV Coordination for Autonomous Target Tracking. Guidance, Navigation, and Control and Co-located Conferences. American Institute of Aeronautics and Astronautics, Aug 2006.
[19]
M. Youssef, M. Younis, and K. Arisha. A constrained shortest-path energy-aware routing algorithm for wireless sensor networks. In Wireless Communications and Networking Conference. IEEE, volume 2, pages 794--799, Mar 2002.

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  1. ETTAF: Efficient Target Tracking and Filming with a Flying Ad Hoc Network

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    cover image ACM Conferences
    SmartObjects '15: Proceedings of the 1st International Workshop on Experiences with the Design and Implementation of Smart Objects
    September 2015
    68 pages
    ISBN:9781450335355
    DOI:10.1145/2797044
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 07 September 2015

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    Author Tags

    1. controlled mobility
    2. flying ad hoc network
    3. tracking

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    Overall Acceptance Rate 15 of 41 submissions, 37%

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    • (2020)Boosting Cooperative Game with Complete Information in Multi-UAV Mesh Router Networks2020 16th International Conference on Mobility, Sensing and Networking (MSN)10.1109/MSN50589.2020.00108(648-653)Online publication date: Dec-2020
    • (2020)Topology-Aware Low-Cost Video Streaming for Video Data Over Heterogeneous NetworkAmbient Communications and Computer Systems10.1007/978-981-15-1518-7_1(3-13)Online publication date: 14-Mar-2020
    • (2019)Control Law of Target Tracking for Multiple Autonomous UAVs Using Virtual Forcesバーチャルフォースを用いた自律型UAV群による移動体追従制御則Transactions of the Society of Instrument and Control Engineers10.9746/sicetr.55.18955:3(189-196)Online publication date: 2019
    • (2019)Sarsa-based Trajectory Planning of Multi-UAVs in Dense Mesh Router Networks2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMOB.2019.8923410(1-5)Online publication date: Oct-2019
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    • (2018)Comparison Study On UAV Movement for Adapting to Multimedia Burst in Post-Disaster Networks2018 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP.2018.00026(339-343)Online publication date: Jun-2018
    • (2018)UAV 3D Mobility Model Oriented to Dynamic and Uncertain EnvironmentAlgorithms and Architectures for Parallel Processing10.1007/978-3-030-05057-3_48(640-650)Online publication date: 7-Dec-2018
    • (2017)On the impact of inter-UAV communications interference in the 2.4 GHz band2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)10.1109/IWCMC.2017.7986413(945-950)Online publication date: Jun-2017
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