Sensor Network Devolution and Breakdown in Survivor Connectivity
Loading...
Files
Penn collection
Departmental Papers (ESE)
Degree type
Discipline
Subject
Funder
Grant number
License
Copyright date
Distributor
Related resources
Contributor
Abstract
As batteries fail in wireless sensor networks there is an inevitable devolution of the network characterised by a breakdown in connectivity between the surviving nodes of the network. A sharp limit theorem characterising the time at which this phenomena makes an appearance is derived.
Advisor
Date of presentation
2004-06-27
Conference name
Departmental Papers (ESE)
Conference dates
2023-05-16T22:28:43.000
Conference location
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Comments
Copyright 2004 IEEE. Reprinted from Proceedings of the International Symposium on Information Theory 2004 (ISIT 2004), page 81. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Copyright 2004 IEEE. Reprinted from Proceedings of the International Symposium on Information Theory 2004 (ISIT 2004), page 81. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Copyright 2004 IEEE. Reprinted from Proceedings of the International Symposium on Information Theory 2004 (ISIT 2004), page 81. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.