TY  - CONF
SN  - 9780769531366
Y1  - 2008///
EP  - 573
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-50249115129&doi=10.1109%2fAMS.2008.77&partnerID=40&md5=7cc7923069af9d43364b8f5b12a63d22
A1  - Sharif, S.A.M.
A1  - Jeoti, V.
AV  - none
CY  - Kuala Lumpur
KW  - Alpha particle spectrometers; Asset management; Cobalt; Cobalt compounds; Estimation; Hybrid sensors; Particle spectrometers; Routing protocols; Sensor networks; Sensors; Telecommunication equipment; Wireless networks; Wireless telecommunication systems
KW  -  A-priori; Averag ing methods; Cooperative localization; Distance estimation; International conferences; Modelling and simulation; Sensor nodes; Vision-based localization; Wireless sensors
KW  -  Wireless sensor networks
ID  - scholars451
TI  - Video wireless sensor network: Co-operative vision based localization method
SP  - 570
N1  - cited By 5; Conference of 2nd Asia International Conference on Modelling and Simulation, AMS 2008 ; Conference Date: 13 May 2008 Through 15 May 2008; Conference Code:73202
N2  - Localization of the sensor nodes is a major obstacle for practical applications of the wireless sensor networks (WSNs). This Paper presents a cooperative localization method based on vision in wireless sensor networks. Based on the video vision characteristics, the distances between sensor nodes in the network are obtained with respect to some 3 chosen nodes whose locations are apriori known. These in turn allow the estimation of the coordinates of each node. An averaging method is employed to refine the estimation. Some vision experiments are presented that demonstrate the performance of the proposed method and that refinement to the distance estimation. © 2008 IEEE.
ER  -