DocumentCode :
1809253
Title :
Fundamental limits of RSS fingerprinting based indoor localization
Author :
Yutian Wen ; Xiaohua Tian ; Xinbing Wang ; Songwu Lu
Author_Institution :
Sch. of Electron., Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2015
fDate :
April 26 2015-May 1 2015
Firstpage :
2479
Lastpage :
2487
Abstract :
Indoor localization has been an active research field for decades, where the received signal strength (RSS) fingerprinting based methodology is widely adopted and induces many important localization techniques such as the recently proposed one building the fingerprint database with crowd-sourcing. While efforts have been dedicated to improve the accuracy and efficiency of localization, the fundamental limits of RSS fingerprinting based methodology itself is still unknown in a theoretical perspective. In this paper, we present a general probabilistic model to shed light on a fundamental question: how good the RSS fingerprinting based indoor localization can achieve? Concretely, we present the probability that a user can be localized in a region with certain size, given the RSS fingerprints submitted to the system. We reveal the interaction among the localization accuracy, the reliability of location estimation and the number of measurements in the RSS fingerprinting based location determination. Moreover, we present the optimal fingerprints reporting strategy that can achieve the best accuracy for given reliability and the number of measurements, which provides a design guideline for the RSS fingerprinting based indoor localization facilitated by crowdsourcing paradigm.
Keywords :
RSSI; fingerprint identification; indoor communication; probability; telecommunication network reliability; RSS fingerprinting based indoor localization; crowdsourcing paradigm; general probabilistic model; location estimation reliability; received signal strength fingerprinting method; Accuracy; Crowdsourcing; Databases; Mobile handsets; Probabilistic logic; Reliability; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications (INFOCOM), 2015 IEEE Conference on
Conference_Location :
Kowloon
Type :
conf
DOI :
10.1109/INFOCOM.2015.7218637
Filename :
7218637
Link To Document :
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