3D self-deployment of jumping robot sensor nodes for improving network performance in obstacle dense environment

Zhang, Jun; Chen, Bohuai; Zhang, Yaning; Jiang, Chaojun; Song, Aiguo

doi:10.1016/j.measurement.2022.112410

Cited by 2 publications

(1 citation statement)

References 71 publications

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“…The article [51] explores the use of jumping robot sensor nodes (JRSNs) for improving network performance in obstacle-dense environments. The study first simulates the impact of the 3D deployment of JRSNs on network connectivity and energy consumption.…”

Section: Other Connectivity Restoration Methods In 3d Wasnmentioning

confidence: 99%

Survey of Connectivity Restoration in 3D Wireless Ad Hoc/Sensor Networks

Chen,

Wu,

et al. 2024

International Journal of Distributed Sensor Networks

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Wireless ad hoc/sensor networks (WASN) have seen increased application in three-dimensional (3D) environments, such as underwater and aerial scenarios. However, WASN may be fragmented or unable to connect continuously due to the harsh surrounding environment or high mobility. Therefore, restoring the network connectivity and transmit data in real time is very important. This paper focuses on the critical task of restoring network connectivity in 3D WASN, a complex issue given that existing connectivity restoration algorithms for two-dimensional environments are not directly applicable or become overly complicated in 3D contexts. We present a comprehensive analysis of the current research landscape, summarizing key findings related to various aspects of 3D WASN connectivity restoration. These aspects include the application environment (underwater, in the sky, and recovery disaster), opportunities for restoration (active, passive, and active/passive), implementation strategies (clustering and sleep scheduling), and resource constraints (node deployment and movement control). Our study also proposes a classification of connectivity restoration solutions for 3D WASN, identifying existing gaps and suggesting potential future research directions. By providing specific insights and a structured overview of the field, we aim to contribute to the ongoing development of robust and resilient 3D WASN.

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Section: Other Connectivity Restoration Methods In 3d Wasnmentioning

confidence: 99%

Survey of Connectivity Restoration in 3D Wireless Ad Hoc/Sensor Networks

Chen,

Wu,

et al. 2024

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

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Proposed Multi-ST Model for Collaborating Multiple Robots in Dynamic Environments

Pham,

Do,

Nguyen Quang

et al. 2024

Machines

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Coverage path planning describes the process of finding an effective path robots can take to traverse a defined dynamic operating environment where there are static (fixed) and dynamic (mobile) obstacles that must be located and avoided in coverage path planning. However, most coverage path planning methods are limited in their ability to effectively manage the coordination of multiple robots operating in concert. In this paper, we propose a novel coverage path planning model (termed Multi-ST) which utilizes the spiral-spanning tree coverage algorithm with intelligent reasoning and knowledge-based methods to achieve optimal coverage, obstacle avoidance, and robot coordination. In experimental testing, we have evaluated the proposed model with a comparative analysis of alternative current approaches under the same conditions. The reported results show that the proposed model enables the avoidance of static and moving obstacles by multiple robots operating in concert in a dynamic operating environment. Moreover, the results demonstrate that the proposed model outperforms existing coverage path planning methods in terms of coverage quality, robustness, scalability, and efficiency. In this paper, the assumptions, limitations, and constraints applicable to this study are set out along with related challenges, open research questions, and proposed directions for future research. We posit that our proposed approach can provide an effective basis upon which multiple robots can operate in concert in a range of ‘real-world’ domains and systems where coverage path planning and the avoidance of static and dynamic obstacles encountered in completing tasks is a systemic requirement.

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3D self-deployment of jumping robot sensor nodes for improving network performance in obstacle dense environment

Cited by 2 publications

References 71 publications

Survey of Connectivity Restoration in 3D Wireless Ad Hoc/Sensor Networks

Survey of Connectivity Restoration in 3D Wireless Ad Hoc/Sensor Networks

Proposed Multi-ST Model for Collaborating Multiple Robots in Dynamic Environments

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