Masters Theses
Decentralized schemes for clustering and routing in ad-hoc networks using neural networks
Abstract
"Ad-hoc networks are formed in several applications. Rescue operations and multiple unmanned air vehicle applications are examples. These networks are dynamic in nature and hence conventional routing and clustering schemes are not suited for them. Most of the routing and clustering algorithms are heuristics based. One main disadvantage of such algorithms is that any form of optimization cannot be achieved more over stability and convergence properties cannot be guaranteed. In this study, new Grossberg neural network (GNN) based algorithms are presented for routing and clustering in ad-hoc networks. These algorithms are implemented in a decentralized manner and have very low computation and storage requirements. GNNs are dynamic in nature and hence are well suited for applications in ad-hoc networks"--Abstract, page iii.
Advisor(s)
Balakrishnan, S. N.
Committee Member(s)
Leu, Ming
Sreeram, Ramakrishnan
Department(s)
Mechanical and Aerospace Engineering
Degree Name
M.S. in Mechanical Engineering
Sponsor(s)
National Science Foundation (U.S.)
Publisher
University of Missouri--Rolla
Publication Date
Fall 2006
Pagination
ix, 73 pages
Rights
© 2006 Vivek Yadav, All rights reserved.
Document Type
Thesis - Citation
File Type
text
Language
English
Subject Headings
Wireless communication systems -- Mathematical modelsNeural networks (Computer science) -- Mathematical modelsRouting (Computer network management)Cluster analysis -- Computer programs
Thesis Number
T 9085
Print OCLC #
123899726
Recommended Citation
Yadav, Vivek, "Decentralized schemes for clustering and routing in ad-hoc networks using neural networks" (2006). Masters Theses. 5860.
https://scholarsmine.mst.edu/masters_theses/5860
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