GEOFENCING IN IOT: ENHANCING LOCATION-BASED SERVICES

Geofencing technology has emerged as a transformative force in the Internet of Things ecosystem, revolutionizing how organizations leverage location-based services across multiple sectors. This comprehensive article explores the technical foundations, key applications, implementation considerations, best practices, and future trends in geofencing technology. The article examines the integration of various positioning technologies, including GPS, RFID, and indoor positioning systems, alongside the crucial role of artificial intelligence and machine learning in enhancing system performance. The article delves into diverse applications across fleet management, retail, smart cities, agriculture, and security sectors, highlighting the technology's versatility and impact. Through a detailed examination of implementation strategies, the article addresses critical aspects of accuracy requirements, battery optimization, data privacy, and network infrastructure needs, providing insights into successful deployment approaches and emerging technological advances.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-26
DOI
https://doi.org/10.5281/zenodo.14222398
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

GEOFENCING IN IOT: ENHANCING LOCATION-BASED SERVICES

Zenodo (CERN European Organization for Nuclear Research)
Indoor and Outdoor Localization Technologies
article

GEOFENCING IN IOT: ENHANCING LOCATION-BASED SERVICES

article en

Abstract

Geofencing technology has emerged as a transformative force in the Internet of Things ecosystem, revolutionizing how organizations leverage location-based services across multiple sectors. This comprehensive article explores the technical foundations, key applications, implementation considerations, best practices, and future trends in geofencing technology. The article examines the integration of various positioning technologies, including GPS, RFID, and indoor positioning systems, alongside the crucial role of artificial intelligence and machine learning in enhancing system performance. The article delves into diverse applications across fleet management, retail, smart cities, agriculture, and security sectors, highlighting the technology's versatility and impact. Through a detailed examination of implementation strategies, the article addresses critical aspects of accuracy requirements, battery optimization, data privacy, and network infrastructure needs, providing insights into successful deployment approaches and emerging technological advances.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Indoor and Outdoor Localization Technologies
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