NDLI: Robust optimal deployment of mobile sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Hutchinson, S. Bretl, T.
Copyright Year	2012
Description	Author affiliation: Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 61801, USA (Hutchinson, S.) \|\| Department of Aerospace Engineering, University of Illinois at Urbana-Champaign, 61801, USA (Bretl, T.)
Abstract	A common algorithm for deployment of a mobile sensor network in a bounded domain moves each sensor toward the centroid of its Voronoi cell. This algorithm is optimal for a particular cost function that is expressed as a sum over Voronoi cells, where the placement of a sensor in its own cell has no effect on cost in other cells. We provide a probabilistic interpretation of this “partitioned” cost function in the context of a target detection task, where each sensor has a chance of seeing the target that decreases monotonically with distance and where the goal is to minimize the total probability of missed detection. We show that the partitioned cost function is exactly the probability of missed detection given that a sensor can only see a target in its own Voronoi cell. We derive the probability of missed detection in the general case—where each sensor might see the target anywhere—and show that optimal sensor placement changes. Finally, we derive the probability of missed detection given the possibility of sensor failure, producing a robust measure of cost with respect to which optimal sensor placement is different yet again. Our results are illustrated by several examples in simulation.
Starting Page	671
Ending Page	676
File Size	412734
Page Count	6
File Format	PDF
ISBN	9781467314039
ISSN	10504729
e-ISBN	9781467314053
e-ISBN	9781467314046
DOI	10.1109/ICRA.2012.6225200
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robot sensing systems Cost function Robustness Equations Partitioning algorithms Phase frequency detector Object detection
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering 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

Robust optimal deployment in mobile sensor networks with peer-to-peer communication

Worst-case performance of a mobile sensor network under individual sensor failure

Distributed coverage with mobile robots on a graph: Locational optimization

Strictly Localized Sensor Self-Deployment for Optimal Focused Coverage

Mobile Robot Localization Using Fusion of Object Recognition and Range Information

Perception of an indoor robot workspace by using CTFM sonar imaging

Distributed robust data fusion based on dynamic voting

Robotic deployment of sensor networks using potential fields

Robust place recognition using local appearance based methods

Robust optimal deployment of mobile sensor networks

Similar Documents

Robust optimal deployment in mobile sensor networks with peer-to-peer communication

Worst-case performance of a mobile sensor network under individual sensor failure

Distributed coverage with mobile robots on a graph: Locational optimization

Strictly Localized Sensor Self-Deployment for Optimal Focused Coverage

Mobile Robot Localization Using Fusion of Object Recognition and Range Information

Perception of an indoor robot workspace by using CTFM sonar imaging

Distributed robust data fusion based on dynamic voting

Robotic deployment of sensor networks using potential fields

Robust place recognition using local appearance based methods

Robust optimal deployment of mobile sensor networks