DocumentCode
2829001
Title
Evaluation of the reliability of RSSI for indoor localization
Author
Qian Dong ; Dargie, W.
Author_Institution
Comput. Networks, Tech. Univ. of Dresden, Dresden, Germany
fYear
2012
fDate
28-30 Aug. 2012
Firstpage
1
Lastpage
6
Abstract
In wireless sensor networks, nodes can be static or mobile, depending on the application requirements. Dealing with mobility can pose some formidable challenges in protocol design, particularly, at the link and network layers. These difficulties require mobility adaption algorithms to efficiently localize mobile nodes and predict the quality of link that can be established with these nodes. An off the shelf development platform that uses Radio Signal Strength Indication (RSSI) is mostly selected as the sensor localization method, especially in the indoor environment. Despite this, not much research work has been done to practically demonstrate the reliability of RSSI for indoor localization. Therefore, in this paper, we aim to calibrate and map RSSI to distance by doing a series of experiments. The result shows that the RSSI technology gives an unacceptable high error and thus is not reliable for the indoor sensor localization.
Keywords
mobile radio; protocols; radio direction-finding; telecommunication network reliability; wireless sensor networks; RSSI technology; application requirements; indoor sensor localization; link layers; link quality; mobile nodes; mobility adaption algorithms; network layers; off the shelf development platform; protocol design; radio signal strength indication; reliability evaluation; wireless sensor networks; Estimation; Indoor environments; Reliability; Wireless sensor networks; RSSI; distance; localization; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications in Unusual and Confined Areas (ICWCUCA), 2012 International Conference on
Conference_Location
Clermont Ferrand
Print_ISBN
978-1-4673-1290-5
Electronic_ISBN
978-1-4673-1289-9
Type
conf
DOI
10.1109/ICWCUCA.2012.6402492
Filename
6402492
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