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LI H P , XIE P , YAN W S . Receding horizon formation tracking control of constrained underactuated autonomous underwater vehicles [J ] . IEEE Transactions on Industrial Electronics, IEEE , 2017 , 64 ( 6 ): 5004 - 5013 .

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LIANG Q W , SUN T Y , WANG D D . Time-varying reliability indexes for multi-AUV cooperative system [J ] . Journal of Systems Engineering and Electronics , 2017 , 28 ( 2 ): 401 - 406 . DOI: 10.21629/JSEE.2017.02.20 http://doi.org/10.21629/JSEE.2017.02.20 <p align="justify">With the development of multi-autonomous underwater vehicle (AUV) cooperative systems, the evaluation of their reliability is becoming more and more important. Since AUVs are always in motion, the reliability of the system is not stationary, but it varies with time. This paper studies the time-varying reliability evaluation indexes for multi-AUV cooperative systems. Aimed at elucidating the characteristics of the system, by considering the motion of the AUVs, two time dependent reliability evaluation indexes, natural connectivity and all-terminal reliability of the basic reliability indexes, are determined with the graph theory. Then the timevarying<br>reliability of multi-AUV cooperative systems is evaluated combining with an actual example. This paper provides a method to evaluate the time-varying reliability of multi-AUV cooperative systems.</p>

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HU J Q , WU H S , ZHAN R J , et al . Self-organized search-attack mission planning for UAV swarm based on wolf pack hunting behavior [J ] . Journal of Systems Engineering and Electronics , 2021 , 32 ( 6 ): 1463 - 1476 . DOI: 10.23919/JSEE.2021.000124 http://doi.org/10.23919/JSEE.2021.000124 Cooperative search-attack is an important application of unmanned aerial vehicle (UAV) swarm in military field. The coupling between path planning and task allocation, the heterogeneity of UAVs, and the dynamic nature of task environment greatly increase the complexity and difficulty of the UAV swarm cooperative search-attack mission planning problem. Inspired by the collaborative hunting behavior of wolf pack, a distributed self-organizing method for UAV swarm search-attack mission planning is proposed. First, to solve the multi-target search problem in unknown environments, a wolf scouting behavior-inspired cooperative search algorithm for UAV swarm is designed. Second, a distributed self-organizing task allocation algorithm for UAV swarm cooperative attacking of targets is proposed by analyzing the flexible labor division behavior of wolves. By abstracting the UAV as a simple artificial wolf agent, the flexible motion planning and group task coordinating for UAV swarm can be realized by self-organizing. The effectiveness of the proposed method is verified by a set of simulation experiments, the stability and scalability are evaluated, and the integrated solution for the coupled path planning and task allocation problems for the UAV swarm cooperative search-attack task can be well performed.

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KHUONG A , GAUTRAIS J , PERNA A , et al . Stigmergic construction and topochemical information shape ant nest architecture [J ] . Proceedings of the National Academy of Sciences of the United States of America , 2016 , 113 ( 5 ): 1303 - 1308 . DOI: 10.1073/pnas.1509829113 http://doi.org/10.1073/pnas.1509829113 The nests of social insects are not only impressive because of their sheer complexity but also because they are built from individuals whose work is not centrally coordinated. A key question is how groups of insects coordinate their building actions. Here, we use a combination of experimental and modeling approaches to investigate nest construction in the ant Lasius niger. We quantify the construction dynamics and the 3D structures built by ants. Then, we characterize individual behaviors and the interactions of ants with the structures they build. We show that two main interactions are involved in the coordination of building actions: (i) a stigmergic-based interaction that controls the amplification of depositions at some locations and is attributable to a pheromone added by ants to the building material; and (ii) a template-based interaction in which ants use their body size as a cue to control the height at which they start to build a roof from existing pillars. We then develop a 3D stochastic model based on these individual behaviors to analyze the effect of pheromone presence and strength on construction dynamics. We show that the model can quantitatively reproduce key features of construction dynamics, including a large-scale pattern of regularly spaced pillars, the formation and merging of caps over the pillars, and the remodeling of built structures. Finally, our model suggests that the lifetime of the pheromone is a highly influential parameter that controls the growth and form of nest architecture.

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吴晖 , 翟月琛 , 张东钥 . 水下声呐通信安全研究 [J ] . 信息技术与网络安全 , 2021 , 40 ( 8 ): 24 - 29 .

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彭春燕 , 杜秀娟 . 水声传感器网络基于深度信息的安全路由协议 [J ] . 计算机工程与应用 , 2020 , 56 ( 2 ): 76 - 81 . DOI: 10.3778/j.issn.1002-8331.1903-0359 http://doi.org/10.3778/j.issn.1002-8331.1903-0359 水声传感器网络（Underwater Acoustic Sensor Networks，UASNs）具有开放共享、低带宽、长时延等特性，为保证水下节点的通信安全，提出了基于水下节点深度信息的一种新的水声传感器网络安全路由协议。与其他算法相比，所提出的安全路由协议相对较为节能，安全性分析表明该算法能够有效保证节点身份、路由和数据等关键信息的私密性，利用NS2网络仿真软件对路由协议的时延、能耗和数据包交付率进行了仿真，仿真结果表明该安全路由协议能适用于水声传感器网络中。

PENG C Y , DU X J . Secure routing protocol based on depth in underwater acoustic sensor networks [J ] . Computer Engineering and Applications , 2020 , 56 ( 2 ): 76 - 81 . (in Chinese) DOI: 10.3778/j.issn.1002-8331.1903-0359 http://doi.org/10.3778/j.issn.1002-8331.1903-0359 Underwater Acoustic Sensor Networks（UASNs） have the characteristics of inherent openness and sharing, lower bandwidth and longer delay. In order to protect the security of underwater nodes, it designs a novel secure routing protocol based on the depth information of underwater nodes for underwater acoustic sensor networks. The security analysis shows that this routing protocol not only is energy-saving, but also can ensure the security of these information, such as the IDs of nodes, the routing information, and the data. It simulates the characteristics of routing protocol in terms of delay, energy consumption and packet delivery rate using NS2. The simulation results show that the secure routing protocol can be used in UASNs.

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黄亮平 . 水声通信网的认证和入侵检测技术研究 [D ] . 南京 : 东南大学 , 2019 .

HUANG L P . The study of authentication and intrusion detection technology of underwater acoustic communication network [D ] . Nanjing : Southeast University , 2019 . (in Chinese)

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MACFARLANE A R , SCHNEEBELI M , DADIC R , et al . A database of snow on sea ice in the central arctic collected during the MOSAiC expedition [J ] . Scientific Data , 2023 , 10 ( 1 ): 398 . DOI: 10.1038/s41597-023-02273-1 http://doi.org/10.1038/s41597-023-02273-1 Snow plays an essential role in the Arctic as the interface between the sea ice and the atmosphere. Optical properties, thermal conductivity and mass distribution are critical to understanding the complex Arctic sea ice system's energy balance and mass distribution. By conducting measurements from October 2019 to September 2020 on the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, we have produced a dataset capturing the year-long evolution of the physical properties of the snow and surface scattering layer, a highly porous surface layer on Arctic sea ice that evolves due to preferential melt at the ice grain boundaries. The dataset includes measurements of snow during MOSAiC. Measurements included profiles of depth, density, temperature, snow water equivalent, penetration resistance, stable water isotope, salinity and microcomputer tomography samples. Most snowpit sites were visited and measured weekly to capture the temporal evolution of the physical properties of snow. The compiled dataset includes 576 snowpits and describes snow conditions during the MOSAiC expedition.© 2023. The Author(s).

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ZHU X P , HU Z H , HUANG S Y , et al . Infrared invisible clothing: hiding from infrared detectors at multiple angles in real world [C ] // Proceedings of 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. New Orleans, LA , US : IEEE , 2022 : 13307 - 13316 .

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