On indoor position location with wireless LANs

By Phongsak Prasithsangaree, Prashant V. Krishnamurthy, Panos K. Chrysanthis. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2002

468 citations recorded by the source corpus.

Location aware services are becoming attractive with the deployment of next generation wireless networks and broadband multimedia wireless networks especially in indoor and campus areas. To provide location aware services, obtaining the position of a user accurately is important. While it is possible to deploy additional infrastructure for this purpose, using existing communications infrastructure is preferred for cost reasons. Because of technical restrictions, location fingerprinting schemes are the most promising. In this paper we present a systematic study of the performance tradeoff and deployment issues. In this paper we present some experimental results towards such a systematic study and discuss some issues related to the indoor positioning problem.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/88ddf2e28842ad3d17c68c0e2cdfd1559c2fe29a

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In Computer Networks and Communications

In Electrical and Electronic Engineering

In Ocean Engineering

Citations in the corpus

Wireless sensor network localization techniques (2007, methodology): “, the RSS profiling-based localization techniques [42–46], work by constructing a form of map of the signal strength behavior in the coverage area.”
A system for LEASE: location estimation assisted by stationary emitters for indoor RF wireless networks (2004, methodology): “Related efforts [4, 5, 7, 14, 15, 19, 20, 25] have used RSS for location estimation and concentrated on locating a user in two-dimensional space, e.”
Modeling of indoor positioning systems based on location fingerprinting (2004, methodology): “A generalized weighted distance Lp summarized by [16] can be used to calculate different forms of distance in signal space as:”
A comparative survey of WLAN location fingerprinting methods (2009, background): “is widely used, but the Manhattan norm (1-norm) is also common [5, 6, 7].”
Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, background): “where r̆j is the representative fingerprint value at RP j [14], [81] and d(r̆j, y) defines a typical distance metric [93].”
Method for yielding a database of location fingerprints in WLAN (2005, methodology): “The simplest one is the deterministic approach [6, 12 , 13].”
Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking (2009, background): “Performance trade-off and deployment issues are explored in (Prasithsangaree et al. 2002).”
A survey of indoor positioning systems for wireless personal networks (2009, background): “The Bluetooth positioning systems suffer from the drawbacks of RF positioning technique in the complex and changing indoor situations [62].”