Title :
RSS-based node localization in the presence of attenuating objects
Author :
Edelstein, Andrea ; Chen, Xi ; Li, Yunpeng ; Rabbat, Michael
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
Abstract :
Node localization is an important task in the context of wire less sensor networks. Although algorithms already exist to carry out localization using measurements of received signal strength (RSS), none of these methods take into account the attenuating and scattering effects of objects which lie within or around the network and which therefore affect the obtained RSS measurements. In this paper, we use a map of the attenuations seen over a given area in order to reinterpret the measured RSS values, thereby refining RSS-based node localization and providing significant improvements over existing algorithms. Simulation results are presented to demonstrate the performance gains which can be achieved using our method.
Keywords :
scattering; wireless sensor networks; RSS measurement; RSS-based node localization; object attenuation; object scattering; received signal strength; wireless sensor network; Antenna measurements; Attenuation; Attenuation measurement; Attenuators; Position measurement; Tomography; Wireless sensor networks; Wireless sensor networks; node localization; received signal strength impairments; shadowing;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946239