A Target Tracking Algorithm Based on Path Virtual Force

Tan, Li; Yang, Chaoyu; Tang, Xiaoshuang; Jiao, Yaoyao

doi:10.1109/cse-euc.2017.96

Cited by 4 publications

(5 citation statements)

References 7 publications

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“…Z Haitao et al 17 implement on-demand coverage for a given user distribution, and the UAV-BS can change the corresponding position as the user moves while maintaining the interconnection between the UAVs. L Tan et al 18 proposed the maximum coverage of the UAV network based on virtual force for a hotspot. They used the virtual force to guide the UAV group to track the target of real-time motion in the three-dimensional space, but they did not reach the connectivity requirements of the UAV.…”

Section: Related Workmentioning

confidence: 99%

The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance

Zhao

Wang

2020

International Journal of Distributed Sensor Networks

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The unmanned aerial vehicle features with high flexibility and easy deployment. It could be used as an air base station and provide fast communication services for the ground users. It plays an important role in some special occasions such as natural disasters, emergency communications and temporary large-scale activities. A single unmanned aerial vehicle equipped with base station has limited range of services, but a multiple unmanned aerial vehicle equipped with base station network can serve a wider range of users. The research goal of unmanned aerial vehicle equipped with base station network coverage control is to maximize the network coverage under the condition of maintaining the service quality. In view of the low dynamic coverage ratio of unmanned aerial vehicle equipped with base station network, this article proposes a relative distance–based unmanned aerial vehicle equipped with base station deployment method. The unmanned aerial vehicle realizes on-demand coverage and maintains a stable network topology under the influence of three relative distances by sensing the uncovered area of the ground, the neighbouring unmanned aerial vehicles and the location of the coverage boundary or obstacles. In addition, the algorithm is also adapted to a variety of scenarios. The simulation results show that the coverage of the proposed algorithm is 22.4% higher than that of random deployment, and it is 9.9%, 4.7% and 2.1% higher than similar virtual force-oriented node, circular binary segmentation and hybrid local virtual force algorithms.

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Section: Related Workmentioning

confidence: 99%

The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance

Zhao

Wang

2020

International Journal of Distributed Sensor Networks

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“…Ma et al [22] proposed a coverage-control VFA-ACE (Area Coverage Enhance) algorithm based on the virtual potential field, aiming at three-dimensional directional sensor networks. Tan et al [23] proposed a three-dimensional space deployment algorithm applied to continuous target tracking. Virtual force in this algorithm is generated by the inter-node force, the obstacle repulsive force, the monitored-path attractive force, and the tracking target together.…”

Section: Related Workmentioning

confidence: 99%

An Enhanced Virtual Force Algorithm for Diverse k-Coverage Deployment of 3D Underwater Wireless Sensor Networks

Wen-ming

Huang

et al. 2019

Sensors

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The combination of Wireless Sensor Networks (WSNs) and edge computing not only enhances their capabilities, but also motivates a series of new applications. As a typical application, 3D Underwater Wireless Sensor Networks (UWSNs) have become a hot research issue. However, the coverage of underwater sensor networks problem must be solved, for it has a great significance for the network’s capacity for information acquisition and environment perception, as well as its survivability. In this paper, we firstly study the minimal number of sensor nodes needed to build a diverse k-coverage sensor network. We then propose a k-Equivalent Radius enhanced Virtual Force Algorithm (called k-ERVFA) to achieve an uneven regional coverage optimization for different k-coverage requirements. Theoretical analysis and simulation experiments are carried out to demonstrate the effectiveness of our proposed algorithm. The detailed performance comparisons show that k-ERVFA acquires a better coverage rate in high k-coverage sub-regions, thus achieving a desirable diverse k-coverage deployment. Finally, we perform sensitivity analysis of the simulation parameters and extend k-ERVFA to special cases such as sensor-sparse regions and time-variant situations.

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“…Hence, in [18], the authors introduced a probability model of 3D WSNs and proposed a scheduling algorithm (PMCCA) that uses Voronoi division to control the scheduling of the probability model nodes in the target region. In [19], a 3D space deployment algorithm was proposed for continuous target tracking to overcome the dispersion problem of the traditional virtual force algorithm as well as the short-time tracking problem in the process of target tracking. In addition, the authors combined the internode force, the obstacle repulsive force, and the attractive force between the monitored-path and the tracking target into a virtual resultant force, so that the coverage of the target path is more continuous and sustained.…”

Section: Related Workmentioning

confidence: 99%

“…Compared with the traditional virtual force algorithm, the abovementioned algorithm improves the effective time of the continuous target-tracking process and shortens the time of losing targets. In general, the algorithm or method proposed in [17][18][19] achieves effective detection of targets in 3D conditions. By contrast, our scheme is more direct and effective, and we have made more comprehensive considerations.…”

Section: Related Workmentioning

confidence: 99%

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Target Detection Coverage Algorithm Based on 3D-Voronoi Partition for Three-Dimensional Wireless Sensor Networks

Dang

Shao

Hao

2019

Mobile Information Systems

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The detection of target events is an important research area in the field of wireless sensor networks (WSNs). In recent years, many researchers have discussed the problem of WSN target coverage in a two-dimensional (2D) coordinate system. However, the target detection problem in a 3D coordinate system has not been investigated extensively, and it is difficult to improve the network coverage ratio while ensuring reliable performance of WSN. In addition, sensor nodes that are initially deployed randomly cannot achieve accurate target coverage in practice. Moreover, it is necessary to consider the energy consumption factor owing to the limited energy of the sensor node itself. Hence, with the objective of addressing the target event coverage problem of WSNs in 3D space applications, this paper proposes a target detection coverage algorithm based on 3D-Voronoi partitioning for WSNs (3D-VPCA) in order to ensure reliable performance of the entire network. First, we extend Voronoi division based on the 2D plane, which allows 3D-Voronoi partitioning of sensor nodes in 3D regions. Then, it is optimized according to the 3D-Voronoi neighbouring node partitioning characteristics and combined with the improved algorithm. Next, we set the priority coverage mechanism and introduce the correlation force between the target point and the sensor node in the algorithm, so that the sensor node can move to the target position for accurate coverage. Finally, we carry out related simulation experiments to evaluate the performance and accuracy of the proposed algorithm. The results show that the proposed algorithm can effectively improve the coverage performance of the network while ensuring a high overall coverage ratio.

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A Target Tracking Algorithm Based on Path Virtual Force

Cited by 4 publications

References 7 publications

The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance

The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance

An Enhanced Virtual Force Algorithm for Diverse k-Coverage Deployment of 3D Underwater Wireless Sensor Networks

Target Detection Coverage Algorithm Based on 3D-Voronoi Partition for Three-Dimensional Wireless Sensor Networks

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