TY - GEN
T1 - Evaluation of the reliability of RSSI for indoor localization (Google Scholar cited 228 times)
AU - Dong, Qian
AU - Dargie, Waltenegus
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - RSSI
KW - distance
KW - localization
KW - wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84873113223&partnerID=8YFLogxK
U2 - 10.1109/ICWCUCA.2012.6402492
DO - 10.1109/ICWCUCA.2012.6402492
M3 - Conference Proceeding
AN - SCOPUS:84873113223
SN - 9781467312905
T3 - 2012 International Conference on Wireless Communications in Underground and Confined Areas, ICWCUCA 2012
BT - 2012 International Conference on Wireless Communications in Underground and Confined Areas, ICWCUCA 2012
T2 - 2012 3rd International Conference on Wireless Communications in Underground and Confined Areas, ICWCUCA 2012
Y2 - 28 August 2012 through 30 August 2012
ER -