Wireless Positioning in IoT: A Look at Current and Future Trends
Autor: | Elena Simona Lohan, Ville Kaseva, Pedro Figueiredo e Silva |
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Přispěvatelé: | Tampere University, Electronics and Communications Engineering |
Rok vydání: | 2018 |
Předmět: |
Computer science
Distributed computing 02 engineering and technology lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry indoor location 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Asset management Electrical and Electronic Engineering Smart lighting Instrumentation business.industry 213 Electronic automation and communications engineering electronics 010401 analytical chemistry 020206 networking & telecommunications Atomic and Molecular Physics and Optics Wireless positioning Internet of Things (IoT) wireless positioning 0104 chemical sciences Internet of Things business |
Zdroj: | Sensors, Vol 18, Iss 8, p 2470 (2018) Sensors Volume 18 Issue 8 Sensors (Basel, Switzerland) |
ISSN: | 1424-8220 |
DOI: | 10.3390/s18082470 |
Popis: | Connectivity solutions for the Internet of Things (IoT) aim to support the needs imposed by several applications or use cases across multiple sectors, such as logistics, agriculture, asset management, or smart lighting. Each of these applications has its own challenges to solve, such as dealing with large or massive networks, low and ultra-low latency requirements, long battery life requirements (i.e., more than ten years operation on battery), continuously monitoring of the location of certain nodes, security, and authentication. Hence, a part of picking a connectivity solution for a certain application depends on how well its features solve the specific needs of the end application. One key feature that we see as a need for future IoT networks is the ability to provide location-based information for large-scale IoT applications. The goal of this paper is to highlight the importance of positioning features for IoT applications and to provide means of comparing and evaluating different connectivity protocols in terms of their positioning capabilities. Our compact and unified analysis ends with several case studies, both simulation-based and measurement-based, which show that high positioning accuracy on low-cost low-power devices is feasible if one designs the system properly. publishedVersion |
Databáze: | OpenAIRE |
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