Hybrid algorithm for indoor positioning using wireless LAN

Kwon, Jaimyoung; Dundar, Baris; Varaiya, Pravin

doi:10.1109/vetecf.2004.1404967

Cited by 28 publications

(2 citation statements)

References 5 publications

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“…This initial effort must be repeated to update the fingerprint as it will otherwise decrease in accuracy as the underlying environment changes. Approaches to lessen or eliminate the survey effort include improved mapping and localization algorithms which require less fingerprinting data [2], proposals to crowdsource the fingerprinting data [26], and improvements to signal propagation modelling [16]. Signal propagation models use simplified knowledge of how signal strength reduces with distance and presence of obstacles to estimate RSSI from some inputs, e.g.…”

Section: Wlan-based Positioningmentioning

confidence: 99%

Simulating and modeling the signal attenuation of wireless local area network for indoor positioning

Lines

Basiri

2019

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation

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Location is a key filter for mobile services, including navigation or advertising. However, positioning and localization inside buildings and in indoor spaces, where users spend most of their time and where the signals of the most widely-used positioning system, i.e. Global Navigation Satellite Systems such as GPS (Global Positioning System), are not available, can be challenging. In this regard, Wireless Local Area Networks (WLAN), e.g. Wi-Fi, can be used for positioning purposes by using a WLAN-enabled device, e.g. a smartphone, to measure and match the Received Signal Strength (RSS) of a signal broadcast by an access point. The challenges of this approach are that accurate maps of RSS are required, and that measuring RSS can be affected by many factors, including the dynamics of the environment and the orientation and type of a device. This paper provides a path-loss model to produce RSS maps automatically from floor plans and introduces an agent-based simulation approach to investigate different positioning methods. This provides a pathway to reduce the time and effort associated with WLAN positioning research.

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Section: Wlan-based Positioningmentioning

confidence: 99%

Simulating and modeling the signal attenuation of wireless local area network for indoor positioning

Lines

Basiri

2019

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation

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“…They are fuelling a wide range of location-aware computing applications. Currently, Wi-Fi-enabled devices can be located by applying one of two types of location-sensing approaches, propagation-based [18][19] [20] and location-fingerprinting-based (LF) [5][1] [19].…”

Section: A Positioning Systemsmentioning

confidence: 99%

Properties of Channel Interference for Wi-Fi Location Fingerprinting

Chan

Baciu

Mak

2010

JCOMSS

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Localization systems for indoor areas have recently been suggested that make use of existing wireless local areanetwork (WLAN) infrastructure and location fingerprinting approach. However, most existing research work ignores channel interference between wireless infrastructures and this could affect accurate and precise positioning. A better understanding of the properties of channel interference could assist in improving the positioning accuracy while saving significant amounts of resources in the location-aware infrastructure. This paper investigates to what extent the positioning accuracy is affected by channel interference between access points. Two sets of experiments compare how the positioning accuracy is affected in three different channel assignment schemes: ad-hoc, sequential, and orthogonal data is analyzed to understand what features ofchannel interference affect positioning accuracy. The results show that choosing an appropriate channel assignment scheme could make localization 10% more accurate and reduces the number of access points that are required by 15%. The experimental analysis also indicates that the channel interference usually obeys a right-skewed distribution and positioning accuracy is heavily dependent on channel interference between access points (APs).

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Introducing a decision tree-based indoor positioning technique

Yim

2008

Expert Systems with Applications

113

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Hybrid algorithm for indoor positioning using wireless LAN

Cited by 28 publications

References 5 publications

Simulating and modeling the signal attenuation of wireless local area network for indoor positioning

Simulating and modeling the signal attenuation of wireless local area network for indoor positioning

Properties of Channel Interference for Wi-Fi Location Fingerprinting

Introducing a decision tree-based indoor positioning technique

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