Enhanced sparrow search algorithm with DV-Hop for high-precision fire sensor localization in underground spaces
Year: 2025
Type: article
Abstract: Fire monitoring in underground spaces is critical for emergency response, yet traditional localization methods like DV-Hop suffer from significant localization errors due to hop count ambiguity and premature convergence in optimization. To address these issues, we propose an Enhanced Sparrow Search Algorithm with Improved DV-Hop (ESSADV-Hop) method. The method incorporates a golden ratio-based communication radius division strategy to refine hop count granularity and an enhanced sparrow search algorithm with Gaussian perturbations to escape local optima. Experimental results show that ESSADV-Hop reduces the average localization error by 55.7% compared to DV-Hop (from 0.2910 to 0.1288) and outperforms other variants by 11.74%∼23.05% in accuracy, demonstrating its effectiveness for fire sensor localization in complex underground environments.
Source: PLoS ONE
Authors: Jiang Li, Liliang Dong, Le Xu, Fangqiong Luo, Zhenkun Lu, Yajian Huang, Shenghan Wei
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,382
Awards: G7432001176, 基于稀疏时频感知的超声高分辨率探测理论与方法研究
OpenAlex ID: W4417439325