Target Location And Tracking Using Hybrid Sensor Network
Abstract
Sensor networks have revolutionized data gathering capabilities and information processing in diverse environments. In this paper we address two fundamental issues; localization and tracking, using a hybrid sensor network. Simulation results using our proposed algorithm show that it is robust in localization and tracking of targets in indoor environments. We have also demonstrated that by using a small set of mobile nodes we can extend the coverage of the sensor grid over a large area and therefore reduce many of the typical problems associated with static sensor networks.
Publication Date
8-12-2010
Publication Title
EuCAP 2010 - The 4th European Conference on Antennas and Propagation
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
77955326596 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77955326596
STARS Citation
Palaniappan, Ravi and Wahid, Parveen, "Target Location And Tracking Using Hybrid Sensor Network" (2010). Scopus Export 2010-2014. 1042.
https://stars.library.ucf.edu/scopus2010/1042