Affiliation:
1. University of Virginia
2. University of California, Berkeley
Abstract
Radio signal strength (RSS) is notorious for being a noisy signal that is difficult to use for ranging-based localization. In this study, we demonstrate that RSS can be used to localize a multi-hop sensor network, and we quantify the effects of various environmental factors on the resulting localization error. We achieve 4.1m error in a 49 node network deployed in a half-football field sized area, demonstrating that RSS localization can be a feasible alternative to solutions like GPS given the right conditions. However, we also show that this result is highly sensitive to subtle environmental factors such as the grass height, radio enclosure, and elevation of the nodes from the ground.
Publisher
Association for Computing Machinery (ACM)
Reference36 articles.
1. CC1000 Data Sheet. http://www.chipcon.com/files/CC1000_Data_Sheet_2_1.pdf. CC1000 Data Sheet. http://www.chipcon.com/files/CC1000_Data_Sheet_2_1.pdf.
2. G. Agha. Evaluation of localization services. Preliminary Report. http://www-osl.cs.uiuc.edu/docs/nest-localization-report-2003/nest-localization-report.pdf 2004. G. Agha. Evaluation of localization services. Preliminary Report. http://www-osl.cs.uiuc.edu/docs/nest-localization-report-2003/nest-localization-report.pdf 2004.
3. Place Lab: Device Positioning Using Radio Beacons in the Wild
4. RADAR: an in-building RF-based user location and tracking system
5. A prison guard Duress alarm location system
Cited by
110 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献