NDLI: Distributed Sensor Fusion for Scalar Field Mapping Using Mobile Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Hung Manh La Weihua Sheng
Copyright Year	2013
Abstract	In this paper, autonomous mobile sensor networks are deployed to measure a scalar field and build its map. We develop a novel method for multiple mobile sensor nodes to build this map using noisy sensor measurements. Our method consists of two parts. First, we develop a distributed sensor fusion algorithm by integrating two different distributed consensus filters to achieve cooperative sensing among sensor nodes. This fusion algorithm has two phases. In the first phase, the weighted average consensus filter is developed, which allows each sensor node to find an estimate of the value of the scalar field at each time step. In the second phase, the average consensus filter is used to allow each sensor node to find a confidence of the estimate at each time step. The final estimate of the value of the scalar field is iteratively updated during the movement of the mobile sensors via weighted average. Second, we develop the distributed flocking-control algorithm to drive the mobile sensors to form a network and track the virtual leader moving along the field when only a small subset of the mobile sensors know the information of the leader. Experimental results are provided to demonstrate our proposed algorithms.
Page Count	13
File Size	1746829
Starting Page	766
Ending Page	778
File Format	PDF
ISSN	21682267
Volume Number	43
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile communication Sensor fusion Estimation Time measurement Heuristic algorithms Algorithm design and analysis sensor fusion Cooperative sensing flocking control mobile sensor networks (MSNs)
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction Computer Science Applications Software

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

Cooperative and Active Sensing in Mobile Sensor Networks for Scalar Field Mapping

Cooperative and active sensing in mobile sensor networks for scalar field mapping

Coupled Distributed Estimation and Control for Mobile Sensor Networks

Flocking based distributed deployment for target monitoring in mobile sensor networks: Algorithm and implementation

Semi-Flocking Algorithm for Motion Control of Mobile Sensors in Large-Scale Surveillance Systems

Random sampling in collaborative and distributed mobile sensor networks utilizing compressive sensing for scalar field mapping

Mobile sensor deployment based on distributed flocking algorithm

Distributed anti-flocking control for mobile surveillance systems

Distributed Algorithms for Environment Partitioning in Mobile Robotic Networks

Distributed Sensor Fusion for Scalar Field Mapping Using Mobile Sensor Networks

Similar Documents

Cooperative and Active Sensing in Mobile Sensor Networks for Scalar Field Mapping

Cooperative and active sensing in mobile sensor networks for scalar field mapping

Coupled Distributed Estimation and Control for Mobile Sensor Networks

Flocking based distributed deployment for target monitoring in mobile sensor networks: Algorithm and implementation

Semi-Flocking Algorithm for Motion Control of Mobile Sensors in Large-Scale Surveillance Systems

Random sampling in collaborative and distributed mobile sensor networks utilizing compressive sensing for scalar field mapping

Mobile sensor deployment based on distributed flocking algorithm

Distributed anti-flocking control for mobile surveillance systems

Distributed Algorithms for Environment Partitioning in Mobile Robotic Networks

Distributed Sensor Fusion for Scalar Field Mapping Using Mobile Sensor Networks