Research on WSN Node Deployment Strategy for Automated Orbital Bolt Robot in Railway Scenarios

Abstract- To address the "energy hole" problem caused by uneven energy consumption among WSN nodes deployedalong railway lines for automated track bolt maintenance robots, this study proposes an energy-balanced non-uniformdeployment optimization strategy. This strategy is based on a regional coverage deployment approach that employs threecongruent isosceles triangles. By incorporating the network scale and a node energy consumption model, the monitoringarea is uniformly partitioned, and sensor nodes are strategically deployed with varying densities across different regionsto achieve balanced energy utilization. Additionally, a distributed scheduling mechanism integrating regional layeringwith collaborative multi-hop communication is introduced to enhance overall network efficiency. Extensive simulationresults demonstrate that the proposed method significantly improves network energy efficiency compared to both uniformand conventional non-uniform deployment approaches. Consequently, the operational lifetime of the network is effectivelyextended, and the system exhibits strong scalability under diverse deployment conditions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-13
DOI
https://doi.org/10.5281/zenodo.16842833
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
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article

Research on WSN Node Deployment Strategy for Automated Orbital Bolt Robot in Railway Scenarios

Zenodo (CERN European Organization for Nuclear Research)
Railway Systems and Energy Efficiency
article

Research on WSN Node Deployment Strategy for Automated Orbital Bolt Robot in Railway Scenarios

article en

Abstract

Abstract- To address the "energy hole" problem caused by uneven energy consumption among WSN nodes deployedalong railway lines for automated track bolt maintenance robots, this study proposes an energy-balanced non-uniformdeployment optimization strategy. This strategy is based on a regional coverage deployment approach that employs threecongruent isosceles triangles. By incorporating the network scale and a node energy consumption model, the monitoringarea is uniformly partitioned, and sensor nodes are strategically deployed with varying densities across different regionsto achieve balanced energy utilization. Additionally, a distributed scheduling mechanism integrating regional layeringwith collaborative multi-hop communication is introduced to enhance overall network efficiency. Extensive simulationresults demonstrate that the proposed method significantly improves network energy efficiency compared to both uniformand conventional non-uniform deployment approaches. Consequently, the operational lifetime of the network is effectivelyextended, and the system exhibits strong scalability under diverse deployment conditions.

Zenodo (CERN European Organization for Nuclear Research)
Lanzhou Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 46%
Railway Systems and Energy Efficiency
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Research on WSN Node Deployment Strategy for Automated Orbital Bolt Robot in Railway Scenarios · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS