Abstract
The mobile computing environment provides many benefits such as ubiquitous access to computing but include constraints on resources such as: Available bandwidth and battery life. Replication is a widely recognized method for balancing the demands of storage space with bandwidth and battery life. We propose a novel scheme that seeks to strategically balance these constrained resources through a cooperative game-theoretic approach for replication in a mobile environment. Our replication strategy relies on the cooperation of the nodes within the network to make replica caching decisions which are spatiotemporally local-optimal for the network from an energy and bandwidth conservation standpoint. in cooperative altruistic data replication, CADR, each node calculates the net global benefit, NGB, for caching a replica of the requested data, as the result data is returned from the responding node to the requesting node, where it is then determines the spatiotemporally local-optimal node for replicating the data item. Performance results from our research indicate that our scheme, CADR, improves the query response time by 25% and 45%, mean hop count is improved by 26% and 46%, query error is reduced by 30% and 48%, while energy utilization is reduced 30% and 57% when compared with both another game theoretic replication approach and standard cooperative caching respectively. © 2011 ICST.
Recommended Citation
D. Hirsch and S. Madria, "A Cooperative Game Theoretic Approach for Data Replication in Mobile Ad-hoc Networks," ColiaborateCom 2011 - Proceedings of the 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing, pp. 115 - 124, article no. 6144795, ICST, Dec 2011.
The definitive version is available at https://doi.org/10.4108/icst.collaboratecom.2011.247120
Department(s)
Computer Science
Keywords and Phrases
game-theoretic; mobile; replication
International Standard Book Number (ISBN)
978-193696836-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 ICST, All rights reserved.
Publication Date
01 Dec 2011