Analysis of routing protocols and interference-limited communication in large wireless networks via continuum modeling View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-04

AUTHORS

Nathanial Burch, Edwin K. P. Chong, Don Estep, Jan Hannig

ABSTRACT

The evaluation and assessment of the design of large wireless networks is an important problem in numerous applications. Direct simulation is a traditional approach for studying such networks but is severely limited in its utility as the size of the network increases. This necessitates other means for studying large networks, one of which is the modeling of large networks with continuum models. In this paper, we introduce nonlinear partial differential equations whose solutions approximate the expected behavior of large networks governed by probabilistic communication rules. The relative speed at which solutions can be obtained from the continuum models allows for the investigation of routing protocols and communication limitations due to interference—a feat that is not feasible via simulation methods. Specifically, we investigate the effects of a directed diffusion routing protocol and explore communication limitations in an interference-sensitive network. Network design studies using the approximating continuum models are then presented. More... »

PAGES

183-199

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10665-012-9566-9

DOI

http://dx.doi.org/10.1007/s10665-012-9566-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027235593


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147 schema:name Statistical and Applied Mathematical Sciences Institute, 27709, Research Triangle Park, NC, USA
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149 https://www.grid.ac/institutes/grid.47894.36 schema:alternateName Colorado State University
150 schema:name Department of Electrical and Computer Engineering, Colorado State University, 80523, Fort Collins, CO, USA
151 Department of Mathematics, Colorado State University, 80523, Fort Collins, CO, USA
152 Department of Statistics, Colorado State University, 80523, Fort Collins, CO, USA
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