Abstract

"The advancement of Mobile ad hoc networks (MANET) is tremendous in the field of social and military applications. Caching and Replication are the two common techniques used to improve data access efficiency in Mobile Ad hoc networks. Caching favors data access efficiency by bringing data closer to the source. Existing caching approaches are deficient in reducing the number of cache locations, thus reducing the number of copies, which is needed for many mission critical applications considering safety and security. Conversely, reducing the number of caches should not affect the efficiency of data access. We design an efficient broker based caching model named "Memory and Location Optimized Caching (MELOC)", which reduces the number of cache locations, and at the same time preserves data access efficiency. Our caching model mostly chooses centrally located nodes as cache location. In addition, we cache only essential data closer to the source, saving memory. Hence our approach bears the name "Memory and Location Optimized caching (MELOC)". Our initial MELOC model suits only small MANET topology of 30 nodes. We further extend our initial caching model to suit large MANET topology of 100 nodes by overcoming certain disadvantages pertaining to large network topology"--Abstract, page iv.

Advisor(s)

Madria, Sanjay Kumar

Committee Member(s)

Chellappan, Sriram
Sarangapani, Jagannathan, 1965-

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Sponsor(s)

Air Force Research Laboratory (Wright-Patterson Air Force Base, Ohio)

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2011

Pagination

xii, 88 pages

Note about bibliography

Includes bibliographical references.

Rights

© 2011 Lekshmi Manian Chidambaram, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Ad hoc networks (Computer networks)
Cache memory

Thesis Number

T 9810

Print OCLC #

784137872

Electronic OCLC #

755090709

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