Calibree: Calibration-Free Localization Using Relative Distance Estimations

Varshavsky, Alex; Pankratov, Denis; Krumm, John; Lara, Eyal de

doi:10.1007/978-3-540-79576-6_9

Cited by 36 publications

(23 citation statements)

References 11 publications

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“…Thus, using the theoretical log-distance propagation model to characterize the relationship between distance and RSS may result in high errors, which significantly affects the localization accuracy of lateration algorithms. In previous work, [9]- [11] used polynomial regression to determine the mathematical relationship between the RSS and distance. But none of them investigated the possible improvement of the localization accuracy of lateration algorithms by utilizing linear regression.…”

Section: Introductionmentioning

confidence: 99%

Indoor Localization Using Improved RSS-Based Lateration Methods

Yang

Chen

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

162

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Abstract-Location estimation is a critical step for many location-aware applications. To obtain location information, localization methods employing Received Signal Strength (RSS) are attestative since it can reuse the existing wireless infrastructure for localization. Among the large class of localization schemes, RSS-based lateration methods have the advantage of providing closed-form solutions for mathematical analysis as compared to heuristic-based localization approaches. However, the localization accuracy of RSS-based lateration methods are significantly affected by the unpredictable setup in indoor environments. To improve the applicability of RSS-based lateration methods in indoors, we propose two approaches, regression-based and correlation-based. The regression-based approach uses linear regression to discover a better fit of signal propagation model between RSS and the distance, while the correlation-based approach utilizes the correlation among RSS in local area to obtain more accurate signal propagation. Our results using both simulation as well as real experiments demonstrate that our improved methods outperform the original RSS-based lateration methods significantly.

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Section: Introductionmentioning

confidence: 99%

Indoor Localization Using Improved RSS-Based Lateration Methods

Yang

Chen

2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

162

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“…The complexity of the fingerprinting phase can be overcome with the recent techniques that perform distance to RSS mapping on runtime [7,14,33,49,79]. Deployment complexity represents one challenge among several others in what concerns the real-world utilization of localization mechanisms.…”

Section: Discussion and Lessonsmentioning

confidence: 99%

Taxonomy of Fundamental Concepts of Localization in Cyber-Physical and Sensor Networks

Koubâa

Jamâa²

2013

Wireless Pers Commun

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Localization is a fundamental task in Cyber-Physical Systems (CPS), where data is tightly coupled with the environment and the location where it is generated. The research literature on localization has reached a critical mass, and several surveys have also emerged. This review paper contributes on the state-of-the-art with the proposal of a new and holistic taxonomy of the fundamental concepts of localization in CPS, based on a comprehensive analysis of previous research works and surveys. The main objective is to pave the way towards a deep understanding of the main localization techniques, and unify their descriptions. Furthermore, this review paper provides a complete overview on the most relevant localization and geolocation techniques. Also, we present the most important metrics for measuring the accuracy of localization approaches, which is meant to be the gap between the real location and its estimate. Finally, we present open issues and research challenges pertaining to localization. We believe that this review paper will represent an important and complete reference of localization techniques in CPS for researchers and practitioners and will provide them with an added value as compared to previous surveys.

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“…Wi-Fi-based methods [5], [6] employ a learning phase where signal strength from multiple stations at each position is recorded to build a "radio map", and identify the location of mobile nodes by finding the best-match during localization. Cellular-phone based methods such as Calibree [7] use connectivity and signal strength from GSM cell towers to provide relatively rough position at a reasonable cost. Calibree estimates relative distance between mobile nodes based on difference of the GSM signature.…”

Section: Related Workmentioning

confidence: 99%

An efficient localization algorithm focusing on stop-and-go behavior of mobile nodes

Higuchi

Fujii

Yamaguchi

et al. 2011

2011 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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Abstract-This paper presents a cooperative localization approach for mobile nodes using wireless and ranging devices. We consider scenarios where node mobility follows stop-and-go behavior; we can then utilize the different movement states of nodes as an input to our localization approach. In the proposed method, each node autonomously finds among its surrounding nodes the ones that do not seem to move, and treats them as static nodes. Only nodes that are deemed static are then used as reference points for position estimation. Furthermore, each node adjusts its localization frequency automatically according to its estimated velocity. Performance evaluation results based on a realistic sensor model and actual mobility traces show that our method could achieve sufficient accuracy and efficiency for an exhibition scenario where people need to be tracked.

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Calibree: Calibration-Free Localization Using Relative Distance Estimations

Cited by 36 publications

References 11 publications

Indoor Localization Using Improved RSS-Based Lateration Methods

Indoor Localization Using Improved RSS-Based Lateration Methods

Taxonomy of Fundamental Concepts of Localization in Cyber-Physical and Sensor Networks

An efficient localization algorithm focusing on stop-and-go behavior of mobile nodes

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