Locating the nodes: cooperative localization in wireless sensor networks
Top Cited Papers
- 27 June 2005
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Magazine
- Vol. 22 (4) , 54-69
- https://doi.org/10.1109/msp.2005.1458287
Abstract
Accurate and low-cost sensor localization is a critical requirement for the deployment of wireless sensor networks in a wide variety of applications. In cooperative localization, sensors work together in a peer-to-peer manner to make measurements and then forms a map of the network. Various application requirements influence the design of sensor localization systems. In this article, the authors describe the measurement-based statistical models useful to describe time-of-arrival (TOA), angle-of-arrival (AOA), and received-signal-strength (RSS) measurements in wireless sensor networks. Wideband and ultra-wideband (UWB) measurements, and RF and acoustic media are also discussed. Using the models, the authors have shown the calculation of a Cramer-Rao bound (CRB) on the location estimation precision possible for a given set of measurements. The article briefly surveys a large and growing body of sensor localization algorithms. This article is intended to emphasize the basic statistical signal processing background necessary to understand the state-of-the-art and to make progress in the new and largely open areas of sensor network localization research.Keywords
This publication has 63 references indexed in Scilit:
- GPS-free positioning in mobile ad-hoc networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Recursive position estimation in sensor networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Localization for mobile sensor networksPublished by Association for Computing Machinery (ACM) ,2004
- Time synchronization in sensor networks: a surveyIEEE Network, 2004
- Distributed particle filters for sensor networksPublished by Association for Computing Machinery (ACM) ,2004
- Nonparametric belief propagation for self-calibration in sensor networksPublished by Association for Computing Machinery (ACM) ,2004
- Distributed optimization in sensor networksPublished by Association for Computing Machinery (ACM) ,2004
- Probabilistic roboticsCommunications of the ACM, 2002
- Dynamic fine-grained localization in Ad-Hoc networks of sensorsPublished by Association for Computing Machinery (ACM) ,2001
- Statistical Theory of Passive Location SystemsIEEE Transactions on Aerospace and Electronic Systems, 1984