Research article Special Issues

Coverage control of mobile sensor networks with directional sensing


  • Received: 29 October 2021 Revised: 15 December 2021 Accepted: 21 December 2021 Published: 17 January 2022
  • Control design of mobile sensors for coverage problem is addressed in this paper. The mobile sensors have non-linear dynamics and directional sensing properties which mean the sensing performance is also affected by the pointing directions of the sensors. Different from the standard optimal coverage problem where sensors are assumed to be omni-directional ones, orientation angles of the directional sensors should also be controlled, other than the position control, to achieve the coverage purpose. Considering also the non-linear dynamics of the mobile sensors, new control methodology is necessarily developed for the coverage problem with directional sensors. In the approach proposed, an innovative gradient based non-smooth motion controller is designed for the mobile sensors with unicycle dynamics. With the proposed controllers, the states of sensors will always stay in an positive invariant set where the gradient of the performance valuation function is well-defined if they are initialized within this set. Moreover, the sensors' states are proved to converge to some critical point where the gradient is zero. Simulation results are provided to illustrate the performance of the proposed coverage control strategy.

    Citation: Zhiyang Ju, Hui Zhang, Ying Tan, Xiang Chen. Coverage control of mobile sensor networks with directional sensing[J]. Mathematical Biosciences and Engineering, 2022, 19(3): 2913-2934. doi: 10.3934/mbe.2022134

    Related Papers:

  • Control design of mobile sensors for coverage problem is addressed in this paper. The mobile sensors have non-linear dynamics and directional sensing properties which mean the sensing performance is also affected by the pointing directions of the sensors. Different from the standard optimal coverage problem where sensors are assumed to be omni-directional ones, orientation angles of the directional sensors should also be controlled, other than the position control, to achieve the coverage purpose. Considering also the non-linear dynamics of the mobile sensors, new control methodology is necessarily developed for the coverage problem with directional sensors. In the approach proposed, an innovative gradient based non-smooth motion controller is designed for the mobile sensors with unicycle dynamics. With the proposed controllers, the states of sensors will always stay in an positive invariant set where the gradient of the performance valuation function is well-defined if they are initialized within this set. Moreover, the sensors' states are proved to converge to some critical point where the gradient is zero. Simulation results are provided to illustrate the performance of the proposed coverage control strategy.



    加载中


    [1] X. Wang, H. Zhang, S. Fan, H. Gu, Coverage control of sensor networks in iot based on rpso, IEEE Int. Things J., 5 (2018), 3521–3532. https://doi.org/10.1109/JIOT.2018.2829160 doi: 10.1109/JIOT.2018.2829160
    [2] G. M. Atınç, D. M. Stipanović, P. G. Voulgaris, A swarm-based approach to dynamic coverage control of multi-agent systems, Automatica, 112 (2020), 108637. https://doi.org/10.1016/j.automatica.2019.108637 doi: 10.1016/j.automatica.2019.108637
    [3] B. Wang, Coverage control in sensor networks, Springer Science & Business Media, 2010.
    [4] S. Meguerdichian, F. Koushanfar, M. Potkonjak, M. B. Srivastava, Coverage problems in wireless ad-hoc sensor networks, in Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No. 01CH37213), (2001), 1380–1387. https://doi.org/10.1109/INFCOM.2001.916633
    [5] C. F. Huang, Y. C. Tseng, The coverage problem in a wireless sensor network, Mob. Netw. Appl., 10 (2005), 519–528. https://doi.org/10.1007/s11036-005-1564-y doi: 10.1007/s11036-005-1564-y
    [6] G. M. Atınç, D. M. Stipanović, P. G. Voulgaris, A swarm-based approach to dynamic coverage control of multi-agent systems, Automatica, 112 (2020), 108637. https://doi.org/10.1016/j.automatica.2019.108637 doi: 10.1016/j.automatica.2019.108637
    [7] W. Bentz, T. Hoang, E. Bayasgalan, D. Panagou, Complete 3-d dynamic coverage in energy-constrained multi-uav sensor networks, Auton. Robots, 42 (2018), 825–851. https://doi.org/10.1007/s10514-017-9661-x doi: 10.1007/s10514-017-9661-x
    [8] F. Abbasi, A. Mesbahi, J. M. Velni, A new voronoi-based blanket coverage control method for moving sensor networks, IEEE Trans. Control Syst. Technol., 27 (2019), 409–417. https://doi.org/10.1109/TCST.2017.2758344 doi: 10.1109/TCST.2017.2758344
    [9] W. Luo, K. Sycara, Voronoi-based coverage control with connectivity maintenance for robotic sensor networks, in 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2019,148–154. https://doi.org/10.1109/MRS.2019.8901078
    [10] D. Inoue, Y. Ito, H. Yoshida, Optimal transport-based coverage control for swarm robot systems: Generalization of the voronoi tessellation-based method, IEEE Control Syst. Lett., 5 (2021), 1483–1488. https://doi.org/10.1109/LCSYS.2020.3039008 doi: 10.1109/LCSYS.2020.3039008
    [11] S. Martinez, J. Cortes, F. Bullo, Motion coordination with distributed information, IEEE Control Syst. Mag., 27 (2007), 75–88. https://doi.org/10.1109/MCS.2007.384124 doi: 10.1109/MCS.2007.384124
    [12] Q. An, Y. Shen, Distributed coverage control for mobile camera sensor networks with anisotropic perception, IEEE Sens. J., 21 (2021), 16264–16274. https://doi.org/10.1109/JSEN.2021.3075627 doi: 10.1109/JSEN.2021.3075627
    [13] J. Cortes, S. Martinez, T. Karatas, F. Bullo, Coverage control for mobile sensing networks, IEEE Trans. Robot. Autom., 20 (2004), 243–255. https://doi.org/10.1109/TRA.2004.824698 doi: 10.1109/TRA.2004.824698
    [14] S. Poduri, G. S. Sukhatme, Constrained coverage for mobile sensor networks, in IEEE International Conference on Robotics and Automation, 2004,165–171. https://doi.org/10.1109/ROBOT.2004.1307146
    [15] J. Cortes, S. Martinez, F. Bullo, Spatially-distributed coverage optimization and control with limited-range interactions, ESAIM: Control, Optimisat. Calculus Var., 11 (2005), 691–719. https://doi.org/10.1051/cocv:2005024 doi: 10.1051/cocv:2005024
    [16] M. Santos, Y. Diaz-Mercado, M. Egerstedt, Coverage control for multirobot teams with heterogeneous sensing capabilities, IEEE Robot. Autom. Lett., 3 (2018), 919–925. https://doi.org/10.1109/LRA.2018.2792698 doi: 10.1109/LRA.2018.2792698
    [17] Y. Kantaros, M. Thanou, A. Tzes, Distributed coverage control for concave areas by a heterogeneous robot–swarm with visibility sensing constraints, Automatica, 53 (2015), 195–207. https://doi.org/10.1016/j.automatica.2014.12.034 doi: 10.1016/j.automatica.2014.12.034
    [18] Y. Stergiopoulos, A. Tzes, Coverage-oriented coordination of mobile heterogeneous networks, in 2011 19th Mediterranean Conference on Control & Automation (MED), 2011,175–180. https://doi.org/10.1109/MED.2011.5983132
    [19] M. T. Nguyen, L. Rodrigues, C. S. Maniu, S. Olaru, Discretized optimal control approach for dynamic multi-agent decentralized coverage, in 2016 IEEE International Symposium on Intelligent Control (ISIC), 2016, 1–6. https://doi.org/10.1109/ISIC.2016.7579984
    [20] J. Cortés, F. Bullo, Nonsmooth coordination and geometric optimization via distributed dynamical systems, SIAM Rev., 51 (2009), 163–189. https://doi.org/10.1137/080737551 doi: 10.1137/080737551
    [21] M. A. Guvensan, A. G. Yavuz, On coverage issues in directional sensor networks: A survey, Ad. Hoc. Networks, 9 (2011), 1238–1255. https://doi.org/10.1016/j.adhoc.2011.02.003 doi: 10.1016/j.adhoc.2011.02.003
    [22] X. Zhang, X. Chen, X. Liang, Y. Fang, Distributed coverage optimization for deployment of directional sensor networks, in 2015 54th IEEE Conference on Decision and Control (CDC), (2015), 246–251. https://doi.org/10.1109/CDC.2015.7402116
    [23] Y. Stergiopoulos, A. Tzes, Cooperative positioning/orientation control of mobile heterogeneous anisotropic sensor networks for area coverage, in 2014 IEEE International Conference on Robotics and Automation (ICRA), (2014), 1106–1111. https://doi.org/10.1109/ICRA.2014.6906992
    [24] Z. Ju, Y. Tan, H. Zhang, X. Chen, Coverage control using directional nonlinear dynamic sensors with non-smooth sensing range, in 2020 59th IEEE Conference on Decision and Control (CDC), (2020), 5309–5314. https://doi.org/10.1109/CDC42340.2020.9303906
    [25] A. Astolfi, Exponential stabilization of a wheeled mobile robot via discontinuous control, J. Dyn. Syst., Meas., Control, 121 (1999), 121–126. https://doi.org/10.1115/1.2802429 doi: 10.1115/1.2802429
    [26] X. Li, Y. Tan, I. Mareels, X. Chen, Compatible formation set for uavs with visual sensing constraint, in 2018 Annual American Control Conference (ACC), (2018), 2497–2502. https://doi.org/10.23919/ACC.2018.8431269
    [27] M. T. Nguyen, L. Rodrigues, C. S. Maniu, S. Olaru, Discretized optimal control approach for dynamic multi-agent decentralized coverage, in 2016 IEEE International Symposium on Intelligent Control (ISIC), (2016), 1–6. https://doi.org/10.1109/ISIC.2016.7579984
    [28] R. Klein, Concrete and abstract Voronoi diagrams, Springer Science & Business Media, 1989.
    [29] H. Flanders, Differentiation under the integral sign, Am. Math. Mon., 80 (1973), 615–627. https://doi.org/10.1080/00029890.1973.11993339 doi: 10.1080/00029890.1973.11993339
    [30] R. W. Brockett, Control Theory and Singular Riemannian Geometry, New York, NY, 1982. https://doi.org/10.1007/978-1-4612-5651-9_2
    [31] D. Shevitz, B. Paden, Lyapunov stability theory of nonsmooth systems, IEEE Trans. Autom. Control, 39 (1994), 1910–1914. https://doi.org/10.1109/9.317122 doi: 10.1109/9.317122
    [32] A. F. Filippov, Differential Equations with Discontinuous Righthand Sides: Control Systems, Springer Science & Business Media, 2013.
    [33] H. K. Khalil, Nonlinear Systems, Prentice Hall, 2002.
    [34] Z. Ye, D. Zhang, Z. G. Wu, H. Yan, A3c-based intelligent event-triggering control of networked nonlinear unmanned marine vehicles subject to hybrid attacks, IEEE Trans. Intell. Trans. Syst., 1–14. https://doi.org/10.1109/TITS.2021.3118648
    [35] D. Zhang, Z. Ye, G. Feng, H. Li, Intelligent event-based fuzzy dynamic positioning control of nonlinear unmanned marine vehicles under dos attack, IEEE Trans. Cybern., 1–14. https://doi.org/10.1109/TCYB.2021.3128170
  • Reader Comments
  • © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1997) PDF downloads(81) Cited by(3)

Article outline

Figures and Tables

Figures(10)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog