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Clustered coverage orienteering problem of unmanned surface vehicles for water sampling

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  • Wei Zhang
  • Kai Wang
  • Shuaian Wang
  • Gilbert Laporte

Abstract

This study investigates a clustered coverage orienteering problem (CCOP), which is a generalization of the classical orienteering problem. The problem is widely motivated by the emerging unmanned techniques (eg, unmanned surface vehicles and drones) applied to environmental monitoring. Specifically, the unmanned surface vehicles (USVs) are used to monitor reservoir water quality by collecting samples. In the CCOP, the water sampling sites (ie, the nodes) are grouped into clusters, and a minimum number of nodes must be visited in each cluster. With each node representing a certain coverage area of the water, the objective of the CCOP is to monitor as much as possible the total coverage area in one tour of the USV, considering that overlapping areas provide no additional information. An integer programming model is first formulated through a linearization procedure that captures the overlapping feature. A two‐stage exact algorithm is proposed to obtain an optimal solution to the problem. The efficiency and effectiveness of the two‐stage exact algorithm are demonstrated through experiments on randomly generated instances. The algorithm can effectively solve instances with up to 60 sampling sites.

Suggested Citation

  • Wei Zhang & Kai Wang & Shuaian Wang & Gilbert Laporte, 2020. "Clustered coverage orienteering problem of unmanned surface vehicles for water sampling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(5), pages 353-367, August.
    • Handle: RePEc:wly:navres:v:67:y:2020:i:5:p:353-367
    DOI: 10.1002/nav.21906
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    Cited by:

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    3. Niu, Baozhuang & Zhang, Jianhua & Xie, Fengfeng, 2024. "Drone logistics’ resilient development: impacts of consumer choice, competition, and regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    4. Eva Barrena & David Canca & Leandro C. Coelho & Gilbert Laporte, 2023. "Analysis of the selective traveling salesman problem with time-dependent profits," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(1), pages 165-193, April.
    5. Chen, Xinyuan & Wu, Shining & Liu, Yannick & Wu, Weiwei & Wang, Shuaian, 2022. "A patrol routing problem for maritime Crime-Fighting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    6. Zhang, Guowei & Zhu, Ning & Ma, Shoufeng & Xia, Jun, 2021. "Humanitarian relief network assessment using collaborative truck-and-drone system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    7. Morandi, Nicola & Leus, Roel & Yaman, Hande, 2024. "The orienteering problem with drones," Other publications TiSEM 593f31f0-7b7b-4069-84ca-8, Tilburg University, School of Economics and Management.

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