NDLI: Dynamic bit allocation for target tracking in sensor networks with quantized measurements

Content Provider	IEEE Xplore Digital Library
Author	Ozdemir, O. Ruixin Niu Varshney, P.K.
Copyright Year	2010
Description	Author affiliation: Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244, USA (Ozdemir, O.; Ruixin Niu; Varshney, P.K.)
Abstract	The problem of dynamic bit allocation for target tracking is investigated in this paper under a total sum rate constraint in sensor networks. Bits are dynamically allocated to sensors in such a way that a cost function, which is based on the Cramér-Rao lower bound evaluated at the predicted target state, is minimized. The optimal solution to this problem, namely joint bit allocation and local quantizer design, is computationally prohibitive and not realistic for real-time online implementation. Instead, a two-step optimization procedure is proposed. First, the best time independent quantizers are obtained offline by maximizing the average Fisher information about the signal amplitude, for different number of bits. With the time independent quantizers, the generalized Breiman, Friedman, Olshen, and Stone (BFOS) algorithm is employed to dynamically assign bits to sensors. Simulation results show that with the same or even less sum bit rate, the proposed dynamic bit allocation approach leads to significantly improved tracking performance, compared with the static bit allocation approach where each sensor is allocated with equal number of bits.
Starting Page	2906
Ending Page	2909
File Size	234382
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5496156
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bit rate Target tracking Cost function Bandwidth Computer networks Sensor systems Constraint optimization Sensor fusion Intelligent networks Electric variables measurement quantized measurements Bandwidth management target tracking
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A sensor selection approach for target tracking in sensor networks with quantized measurements

A market based dynamic bit allocation scheme for target tracking in wireless sensor networks

Dynamic bit allocation for target tracking in sensor networks with quantized measurements

Quantized measurement fusion for target tracking in wireless sensor networks

The Recursive Fusion Algorithm with Out-of-Sequence Measurements for Sensor Networks

Quantized measurement fusion in wireless sensor networks with correlated sensor noises

Robust target tracking with quantized proximity sensors

Measurement fusion for target tracking under bandwidth constraints

Dynamic bandwidth allocation for target tracking in wireless sensor networks

Dynamic bit allocation for target tracking in sensor networks with quantized measurements

Similar Documents

A sensor selection approach for target tracking in sensor networks with quantized measurements

A market based dynamic bit allocation scheme for target tracking in wireless sensor networks

Dynamic bit allocation for target tracking in sensor networks with quantized measurements

Quantized measurement fusion for target tracking in wireless sensor networks

The Recursive Fusion Algorithm with Out-of-Sequence Measurements for Sensor Networks

Quantized measurement fusion in wireless sensor networks with correlated sensor noises

Robust target tracking with quantized proximity sensors

Measurement fusion for target tracking under bandwidth constraints

Dynamic bandwidth allocation for target tracking in wireless sensor networks

Dynamic bit allocation for target tracking in sensor networks with quantized measurements