An Efficient Cooperative Localisation Method Using Sub-network Division and Hybrid Optimisation Algorithm

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Security and Networks
Published
2025-01-01
DOI
https://doi.org/10.1504/ijsn.2025.10072004
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

An Efficient Cooperative Localisation Method Using Sub-network Division and Hybrid Optimisation Algorithm

Xiaoyong Yan, Rong Li, Liang Liao
International Journal of Security and Networks
Indoor and Outdoor Localization Technologies
article

An Efficient Cooperative Localisation Method Using Sub-network Division and Hybrid Optimisation Algorithm

Xiaoyong Yan, Rong Li, Liang Liao
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Security and NetworksVol. 1(1)
Openalex Percentile: Top 88%
Indoor and Outdoor Localization Technologies
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An Efficient Cooperative Localisation Method Using Sub-network Division and Hybrid Optimisation Algorithm — Xiaoyong Yan, Rong Li, et al. · International Journal of Security and Networks (2025) | TGRS Research Map | TGRS