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GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION

Abstract: 

Modeling a location-unaware sensor network as a simplicial complex, where simplices correspond to cliques in the communication graph, has proven useful for solving a number of coverage problems under certain conditions using algebraic topology. Several approaches to finding a sparse cover for a fenced sensor network are considered, including calculating homology changes locally, strong collapsing, and Euler characteristic collapsing.

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Paper Details

Authors:
Submitted On:
2 December 2016 - 7:22pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Terrence J Moore
Paper Code:
SPN-P1.7
Document Year:
2016
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Document Files

Moore-GlobalSIP2016_pdf.pdf

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[1] , "GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1333. Accessed: Jan. 20, 2018.
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url = {http://sigport.org/1333},
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publisher = {IEEE SigPort},
title = {GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION},
year = {2016} }
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. (2016). GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION. IEEE SigPort. http://sigport.org/1333
, 2016. GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION. Available at: http://sigport.org/1333.
. (2016). "GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION." Web.
1. . GREEDY APPROACHES TO FINDING A SPARSE COVER IN A SENSOR NETWORK WITHOUT LOCATION INFORMATION [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1333