Exploring GSM Signal Strength Levels in Pervasive Environments

I Anderson; HL Muller

Exploring GSM Signal Strength Levels in Pervasive Environments

I Anderson, HL Muller

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

4 Citations (Scopus)

Abstract

In this paper we study the use of GSM signal strength information as a method of inferring position. Location fingerprinting using 802.11 wireless networks is a popular positioning technique. Recently, research has been published that has applied this technique to cellular networks. Cellular networks offer wider coverage than 802.11 and enable context-aware applications to be built upon the already ubiquitous cell-phone platform. We focus on the practical aspects of deploying and managing location based services in dynamic, outdoor environments. We have extended a technique for creating a qualitative location system. This extension allows a symbolic location system to be learnt from training data in an unsupervised manner.

Translated title of the contribution	Exploring GSM Signal Strength Levels in Pervasive Environments
Original language	English
Title of host publication	Unknown
Publication status	Published - Apr 2006

Bibliographical note

Conference Proceedings/Title of Journal: 1st IEEE International Workshop on Pervasive Computing and Ad Hoc Communications (IEEE PCAC06)

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http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=2000524

Cite this

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title = "Exploring GSM Signal Strength Levels in Pervasive Environments",

abstract = "In this paper we study the use of GSM signal strength information as a method of inferring position. Location fingerprinting using 802.11 wireless networks is a popular positioning technique. Recently, research has been published that has applied this technique to cellular networks. Cellular networks offer wider coverage than 802.11 and enable context-aware applications to be built upon the already ubiquitous cell-phone platform. We focus on the practical aspects of deploying and managing location based services in dynamic, outdoor environments. We have extended a technique for creating a qualitative location system. This extension allows a symbolic location system to be learnt from training data in an unsupervised manner. ",

author = "I Anderson and HL Muller",

note = "Conference Proceedings/Title of Journal: 1st IEEE International Workshop on Pervasive Computing and Ad Hoc Communications (IEEE PCAC06)",

year = "2006",

month = apr,

language = "English",

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T1 - Exploring GSM Signal Strength Levels in Pervasive Environments

AU - Anderson, I

AU - Muller, HL

N1 - Conference Proceedings/Title of Journal: 1st IEEE International Workshop on Pervasive Computing and Ad Hoc Communications (IEEE PCAC06)

PY - 2006/4

Y1 - 2006/4

N2 - In this paper we study the use of GSM signal strength information as a method of inferring position. Location fingerprinting using 802.11 wireless networks is a popular positioning technique. Recently, research has been published that has applied this technique to cellular networks. Cellular networks offer wider coverage than 802.11 and enable context-aware applications to be built upon the already ubiquitous cell-phone platform. We focus on the practical aspects of deploying and managing location based services in dynamic, outdoor environments. We have extended a technique for creating a qualitative location system. This extension allows a symbolic location system to be learnt from training data in an unsupervised manner.

AB - In this paper we study the use of GSM signal strength information as a method of inferring position. Location fingerprinting using 802.11 wireless networks is a popular positioning technique. Recently, research has been published that has applied this technique to cellular networks. Cellular networks offer wider coverage than 802.11 and enable context-aware applications to be built upon the already ubiquitous cell-phone platform. We focus on the practical aspects of deploying and managing location based services in dynamic, outdoor environments. We have extended a technique for creating a qualitative location system. This extension allows a symbolic location system to be learnt from training data in an unsupervised manner.

M3 - Conference Contribution (Conference Proceeding)

BT - Unknown

ER -

Exploring GSM Signal Strength Levels in Pervasive Environments

Abstract

Bibliographical note

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