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Towards Scalable Indoor Positioning Systems (IPS): User-Centric Challenges, Methods, and Recommendations for User-Friendly Crowd-Powered Framework

delete2025-09-17
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PRE
AI
A
Ahmed Mansour
C
Chen Wu
E
Eslam Ali
王敬贤 cover
王敬贤 (Jingxian Wang)
D
Duojie Weng
DOI:10.1016/j.inffus.2025.103718delete
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Abstract

Abstract

En 中文
• Surveys user-centric challenges across crowd-powered Indoor Positioning Systems (IPS). • Reviews active, opportunistic, and passive user participation schemes and trade-offs. • Surveys incentive mechanisms, privacy-security preservation methods, and limitations. • Discuss the adverse effects of data collection and localization on user devices. • Proposes a roadmap for user-friendly, sustainable, and scalable IPS development.

Journal

Information Fusion cover
Information Fusion
IF:
15.5
Papers:
4.1K
Citations:
2.7W

Organization

S
shenzhen university
Scholars:
4.5W
Papers: 3.4W
Citations: 72
T
The Hong Kong Polytechnic University
Scholars:
5.1K
Papers: 3.0K
Citations: 17