Path planning and task assignment of the multi-AUVs system based on the hybrid bio-inspired SOM algorithm with neural wave structure

Ma, Xiwen; Chen, Yanli; Bai, Guiqiang; Sha, Yongbai; Zhu, Xinqing

doi:10.1007/s40430-020-02733-4

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…The algorithm further realizes the Pareto improvement. Ma [10] et al Proposed a hybrid bionic self-organizing map neural network algorithm. Due to the principle of AUV individual kinematics, simulation experiments prove that the algorithm has wide application potential.…”

Section: Related Workmentioning

confidence: 99%

Research on Task Allocation Method of Mobile Swarm Intelligence Perception Based on Hybrid Artificial Fish Swarm Algorithm

et al. 2021

Business Intelligence and Information Technology

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In this study, the task allocation mechanism in mobile swarm intelligence perception is studied and analyzed. Considering how to allocate tasks under specified time constraints and optimize for the goal, a hybrid artificial fish swarm algorithm is proposed by using swarm intelligence algorithm. The inertia index of particle swarm optimization algorithm is pulled into the typical artificial fish swarm algorithm, which is proved by simulation experiments. The hybrid artificial fish swarm algorithm greatly improves the convergence speed, avoids the shortage that the artificial fish swarm algorithm often stop when it obtains the local optimization, and this make the algorithm obtains the effect of global optimization.

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Section: Related Workmentioning

confidence: 99%

Research on Task Allocation Method of Mobile Swarm Intelligence Perception Based on Hybrid Artificial Fish Swarm Algorithm

et al. 2021

Business Intelligence and Information Technology

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“…The disturbance caused to AUV because of ocean current overcomes with velocity vector synthesis algorithm. 19 Modern trends and analysis on various sector algorithms focus on different practices in the domains of data synchronization, security, clustering, and privacy. [20][21][22][23] The wide complicated underwater environment monitors completely with the Glasius bio-inspired neural network (GBNN) algorithm.…”

Section: Related Workmentioning

confidence: 99%

“…The AUV tracks the real target through multiple newton interpolation. The disturbance caused to AUV because of ocean current overcomes with velocity vector synthesis algorithm 19 . Modern trends and analysis on various sector algorithms focus on different practices in the domains of data synchronization, security, clustering, and privacy 20–23 .…”

Section: Related Workmentioning

confidence: 99%

Dolphin swarm optimization algorithm for software‐defined antenna selection algorithm in underwater acoustic sensor network

Rajaprakash

2021

Int J Communication

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Underwater acoustic sensor network (UASN) employs to monitor the aquatic environment. The underwater nodes deploy for continuous and real-time monitoring. The underwater nodes deploy at different depths to facilitate data forwarding from ocean floor sensor to buoys node. However, the underwater network has limited network resources such as the battery, bandwidth, and susceptibility to mobility, thermographic conditions, and propagation delay. The propagation delay and thermographic condition prolong node packet processing and delay network operation. The delayed network operation increases node battery consumption and overhead. Hence, a bio-inspired dolphin swarm optimization algorithm (DSA) implements to select the optimal antenna for data transmission. The DSA selects the optimal antenna for data communication by evaluating the acknowledgment packet obtained for data transmitted through multiband antennas. The DSA was simulated in an NS2-Aquasim environment and testbed to evaluate its performance. The DSA improved data reliability, packet delivery ratio by 97%, and reduced bit error rate (BER), end-to-end delay compared to traditional algorithms.

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Multi-type task allocation for multiple heterogeneous unmanned surface vehicles (USVs) based on the self-organizing map

Tan

Zhuang

Zou

et al. 2022

Applied Ocean Research

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Path planning and task assignment of the multi-AUVs system based on the hybrid bio-inspired SOM algorithm with neural wave structure

Cited by 9 publications

References 20 publications

Research on Task Allocation Method of Mobile Swarm Intelligence Perception Based on Hybrid Artificial Fish Swarm Algorithm

Research on Task Allocation Method of Mobile Swarm Intelligence Perception Based on Hybrid Artificial Fish Swarm Algorithm

Dolphin swarm optimization algorithm for software‐defined antenna selection algorithm in underwater acoustic sensor network

Multi-type task allocation for multiple heterogeneous unmanned surface vehicles (USVs) based on the self-organizing map

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