A Scheme for Indoor Localization through RF Profiling

Haque, Israat; Nikolaidis, Ioanis; Gburzyński, Paweł

doi:10.1109/iccw.2009.5207992

Cited by 11 publications

(10 citation statements)

References 9 publications

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“…The experiments reported on in the rest of this paper were carried out at the lowest power setting with 5 kps transmission rate using channel 0. In our earlier work [3] we demonstrated how localization in three distinctly different rooms resulted in a localization error less than one meter. Even though LEMON's accuracy has not been yet maximized, it already challenges the accuracy of location estimation reported in [5] which was about 2 m using an even finer grid than ours.…”

Section: Methodsmentioning

confidence: 99%

“…Early results have been reported in [3]. The devices for both tags and pegs are the EMSPCC11 from Olsonet Communications, 2 which is a low-cost low-power mote for wireless sensor networking, programmable in PicOS [2].…”

Section: Methodsmentioning

confidence: 99%

“…In the next section we present LEMON in detail and summarize the results from [3]. In Section 3 we detail the experiments that were carried out for the present study and the localization errors observed.…”

Section: Introductionmentioning

confidence: 99%

“…Instead, in this paper we examine the impact on localization from decisions about the number and placement of the (semi-) permanent nodes (called pegs in the sequel). To this end, we use a localization scheme, dubbed LEMON 1 which we previously proposed in [3] and which was found to provide good localization accuracy. In essence, our research is motivated by cost considerations.…”

Section: Introductionmentioning

confidence: 99%

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On the Impact of Node Placement and Profile Point Selection on Indoor Localization

Haque

Nikolaidis

Gburzyński

2009

Wireless and Mobile Networking

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Abstract. We present an indoor localization technique based on RF profiling using the received signal strength (RSS) measurements from a set of pre-selected reference points. We do not attach any interpretative significance to the measurements other than use them to calculate their difference from the measurements of the reference points. We study the performance of our technique in an environment with multiple adjacent rooms and find that it gives better results compared to the application of the k-Nearest Neighbor algorithm that has been used in the literature for the same task. We also study the proposed scheme and two other well-known localization schemes, with respect to the sensitivity of the localization on the number and layout of the reference points, as well as on the number and layout of the deployed fixed points (pegs) from where the measurements are collected. We find that one can achieve good localization performance with either fewer reference points or with fewer pegs as long as their layout is chosen carefully.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the Impact of Node Placement and Profile Point Selection on Indoor Localization

Haque

Nikolaidis

Gburzyński

2009

Wireless and Mobile Networking

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“…Instead, we consider only signal strength pattern matching techniques and use location fingerprinting (profiling) techniques. In location fingerprinting, the RSS of the tag is compared against a pre-collected set of samples from known (profiled) reference points (Haque et al 2009). Profiling can overcome the limitations of RSS ranging methods by which the multipath-affected environments makes the direct transformation of RSS into distances or angles highly unreliable.…”

Section: Introductionmentioning

confidence: 99%

Streamlining an indoor positioning architecture based on field testing in pipe spool fabrication shop

Soleimanifar

Lu²

2014

Proceedings of the Winter Simulation Conference 2014

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This paper describes the implementation of an indoor positioning architecture based on radio frequency profiling using received signal strength (RSS) measurements for localizing and tracking resources in construction-related applications. The profiling-based approach is coupled with commonly used noise filtering algorithms in order to cope with the application of material tracking in a pipe spool fabrication shop. With 95% likelihood, consistent positioning accuracy of 1-2 meters away from the actual position of a tracked tag can be obtained in the fabrication shop−which is deemed sufficient for materials and labor hours tracking in support of shop production control. In particular, through simulation experiments using data collected from a pipe fabrication shop we investigated the sensitivity of the resulting localization accuracy with respect to the quantity and layout of the reference points, aimed at streamlining system updating and simplifying solution implementation.

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A sensor based indoor localization through fingerprinting

Haque

2014

Journal of Network and Computer Applications

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A Scheme for Indoor Localization through RF Profiling

Cited by 11 publications

References 9 publications

On the Impact of Node Placement and Profile Point Selection on Indoor Localization

On the Impact of Node Placement and Profile Point Selection on Indoor Localization

Streamlining an indoor positioning architecture based on field testing in pipe spool fabrication shop

A sensor based indoor localization through fingerprinting

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