CellSense: An Accurate Energy-Efficient GSM Positioning System

Ibrahim, Mohamed; Youssef, Moustafa

doi:10.1109/tvt.2011.2173771

Cited by 160 publications

(113 citation statements)

References 14 publications

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“…Some of them rely on fingerprint matching algorithms that leverage the radiomap collected prior to localization to determine location by finding the best match between the fingerprint observed by the user and the fingerprints in the radiomap; see Section V-B for more details about fingerprint matching. For instance, CellSense is a probabilistic RSS fingerprint matching location determination system for GSM phones that delivered median error of 42.43 m and 27.86 m in a rural and an urban test-bed, respectively [25]. Authors in [26] use semi-supervised and unsupervised machine learning techniques to reduce or eliminate the effort to collect location-tagged measurement data and report sub-100 m median localization accuracy with very little or no location-tagged data in a GSM network.…”

Section: A Academic Solutionsmentioning

confidence: 99%

“…Another major limitation of the solutions presented in [25]- [28] is that they require a high number of BSs to be present in the observation. This is the reason for considering mostly GSM networks, where the observations may contain RSS measurements from up to seven cells (i.e., the serving and six stronger neighbor cells).…”

Section: A Academic Solutionsmentioning

confidence: 99%

“…• Cellular network localization: Recent academic systems that rely mostly on Global System for Mobile communication (GSM) networks [25]- [28], commercial location platforms and industry geolocation solutions intended for 2G/3G/4G networks [29]- [38], as well as new research directions and recent results in 5G localization [39]- [56].…”

mentioning

confidence: 99%

See 2 more Smart Citations

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Laoudias¹,

Moreira

Kim

et al. 2018

IEEE Commun. Surv. Tutorials

353

171

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Abstract-Location information for events, assets, and individuals, mostly focusing on two dimensions so far, has triggered a multitude of applications across different verticals, such as consumer, networking, industrial, health care, public safety, and emergency response use cases. To fully exploit the potential of location awareness and enable new advanced location-based services, localization algorithms need to be combined with complementary technologies including accurate height estimation, i.e., three dimensional location, reliable user mobility classification, and efficient indoor mapping solutions. This survey provides a comprehensive review of such enabling technologies. In particular, we present cellular localization systems including recent results on 5G localization, and solutions based on Wireless Local Area Networks (WLAN), highlighting those that are capable of computing 3D location in multi-floor indoor environments. We overview range-free localization schemes, which have been traditionally explored in Wireless Sensor Networks (WSN) and are nowadays gaining attention for several envisioned Internet of Things (IoT) applications. We also present user mobility estimation techniques, particularly those applicable in cellular networks, that can improve localization and tracking accuracy. Regarding the mapping of physical space inside buildings for aiding tracking and navigation applications, we study recent advances and focus on smartphone-based indoor Simultaneous Localization and Mapping (SLAM) approaches.The survey concludes with service availability and system scalability considerations, as well as security and privacy concerns in location architectures, discusses the technology roadmap, and identifies future research directions.

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Section: A Academic Solutionsmentioning

confidence: 99%

Section: A Academic Solutionsmentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Laoudias¹,

Moreira

Kim

et al. 2018

IEEE Commun. Surv. Tutorials

353

171

View full text Add to dashboard Cite

show abstract

“…Particularly, the LOCO-PROL [36] project reduces the positioning problem to the corresponding point in the track, thereby reducing the 3-dimensional position to only 1-dimension, a unique feature of the railway. The EATS [12] project proposes an on-board Smart Train Positioning System (STPS) based on the combination of different techniques proved useful for other industrial sectors with the aim of reaching ETCS level 3 requirements [10,26,32]: multi-antenna assembly to reduce multi-path effects and the combination of information sources such as GNSS, UMTS and GSM-Railway (GSM-R) which will provide full coverage on the tracks even in harsh environments. In general, the on-board hybridization of technologies will be a step forward towards European Train Control System (ETCS) level 3 minimizing track-side costs and maximizing track capacity.…”

Section: Introductionmentioning

confidence: 99%

Advanced Train Location Simulator (ATLAS) for developing, testing and validating on-board railway location systems

Goya

Zamora-Cadenas

Arrizabalaga

et al. 2015

Eur. Transp. Res. Rev.

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Purpose This article focuses on a novel Advanced Train LocAtion Simulator (ATLAS) for on-board railway location using wireless communication technologies, such as satellite navigation and location based systems. ATLAS allows the creation of multiple simulation environments providing a versatile tool for testing and assessing new train location services. This enhancement reduces the number of tests performed in real scenarios and trains, reducing the cost and development time of new location systems as well as assessing the performance level for given tracks. Methods The simulation platform is based on modular blocks, where each block can be replaced or improved. The

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“…Today, GPS has a [2] [3] wide range of other applications including tracking package delivery, mobile commerce, emergency response, exploration, surveying, law enforcement, recreation, wildlife tracking, search and rescue, roadside assistance, stolen vehicle recovery, satellite data processing, and resource management. CELL PHONES become [10] more ubiquitous in our daily lives, the need for context-aware applications increases. One of the main context information is location, which enables a wide set of cell phone applications including navigation, location-aware social networking, and security.…”

Section: Introductionmentioning

confidence: 99%

GPS and GSM based Passenger Tracking System

Dalip¹,

Kumar²

2014

IJCA

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Evolution in transportation technology makes the necessity for increasing passenger safety. Today women safety is more important when they are travelling in public transport. So we want a tracking system for passengers so that we can monitor at anytime from anywhere. Mostly passenger tracking systems are Radio Frequency Identification (RFID) based but they are not cost effective. In this paper a cost effective Global Positioning System (GPS) and Global System for Mobile communication (GSM) based passengers tracking system inside buses is introduced here. It tracks the passengers by using ticket number and displays location on Google map.

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CellSense: An Accurate Energy-Efficient GSM Positioning System

Cited by 160 publications

References 14 publications

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Advanced Train Location Simulator (ATLAS) for developing, testing and validating on-board railway location systems

GPS and GSM based Passenger Tracking System

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