Abstract
This paper considers the problem of quantization schemes for source localization in wireless sensor networks. First, a channel-aware adaptive quantization scheme for target location estimation is proposed and local sensor nodes dynamically adjust their quantization thresholds according to a kind of position-based information sequences. The scheme incorporates the statistics of imperfect wireless channels between sensors and the fusion center. Furthermore, the appropriate maximum likelihood estimator (MLE) and the performance metric Cramer-Rao lower bound (CRLB) are derived. Simulation results are presented to show that the appropriated CRLB is less than the fixed-quantization channel-aware CRLB and the proposed MLE will approach its CRLB when the number of sensors is large enough.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
