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RSSI-Based Indoor Robot Localization System Using LabVIEW
- Source :
- Proceeding of International Conference on Intelligent Communication, Control and Devices ISBN: 9789811017070
- Publication Year :
- 2016
- Publisher :
- Springer Singapore, 2016.
-
Abstract
- Today in twenty-first century, we have totally migrated to highly efficient wireless sensor technology as it offers various advantages over the conventional wired technology. An important task of a wireless sensor network is to capture and forward data to the specified destination. This gives rise to a whole new area of research of localization system and technologies. It is highly imperative to out the location from where the data has been collected. Localization is a process of determining the location of sensor nodes with suitable algorithms. Localization of sensor nodes is an intriguing area of research, and many works have been done till date. Today in this fast evolving world, there is a requirement for developing and designing a low-cost and efficient localization technique for WSNs. In this paper, we discuss localization technique based on the RSSI and real-time data acquisition on LabVIEW (i.e., LabVIEW is used as a data logger). Then, received data gets analyzed using LabVIEW.
- Subjects :
- business.industry
Computer science
Real-time computing
0211 other engineering and technologies
Process (computing)
020206 networking & telecommunications
02 engineering and technology
Task (project management)
Data acquisition
Robot localization
Data logger
021105 building & construction
0202 electrical engineering, electronic engineering, information engineering
Wireless
Localization system
business
Wireless sensor network
Subjects
Details
- ISBN :
- 978-981-10-1707-0
- ISBNs :
- 9789811017070
- Database :
- OpenAIRE
- Journal :
- Proceeding of International Conference on Intelligent Communication, Control and Devices ISBN: 9789811017070
- Accession number :
- edsair.doi...........5e0ad13f6e3a83e2eddc7e65b812cf80
- Full Text :
- https://doi.org/10.1007/978-981-10-1708-7_31