TY - GEN
T1 - Multi-hop positioning
T2 - 2nd International Conference on Pervasive Embedded Computing and Communication Systems, PECCS 2012
AU - Saeki, Masayuki
AU - Oguni, Kenji
PY - 2012/6/15
Y1 - 2012/6/15
N2 - This paper presents a relative positioning method, called "multi-hop positioning", which is suitable for raw GPS data collected by densely deployed L1 GPS receivers. The wireless sensor network employing an affordable L1 GPS receiver has been developed by the authors for monitoring displacement of large civil structures with high spatial resolution. In general, relative positioning of GPS sensors are performed between a single reference point and sensor nodes. On the other hand, in the newly developed approach, relative positioning is performed between all pair of sensor nodes in the network. Then, the best set of relative position vectors is selected to determine the location of sensor nodes. Experiments have been conducted using 53 sensor nodes equipped with an affordable L1 GPS receiver and the collected data are analysed by using the proposed method in a post-processing manner. The results show that the success rate of relative position estimate is considerably improved compared with the conventional approach.
AB - This paper presents a relative positioning method, called "multi-hop positioning", which is suitable for raw GPS data collected by densely deployed L1 GPS receivers. The wireless sensor network employing an affordable L1 GPS receiver has been developed by the authors for monitoring displacement of large civil structures with high spatial resolution. In general, relative positioning of GPS sensors are performed between a single reference point and sensor nodes. On the other hand, in the newly developed approach, relative positioning is performed between all pair of sensor nodes in the network. Then, the best set of relative position vectors is selected to determine the location of sensor nodes. Experiments have been conducted using 53 sensor nodes equipped with an affordable L1 GPS receiver and the collected data are analysed by using the proposed method in a post-processing manner. The results show that the success rate of relative position estimate is considerably improved compared with the conventional approach.
KW - Displacement monitoring
KW - GPS
KW - Relative positioning
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=84862138509&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862138509&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84862138509
SN - 9789898565006
T3 - PECCS 2012 - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems
SP - 361
EP - 368
BT - PECCS 2012 - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems
Y2 - 24 February 2012 through 26 February 2012
ER -