Adaptive Context-Aware Data Management Scheme for Mobile Environments
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2015 by IJCTT Journal | ||
| Volume-19 Number-1 |
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| Year of Publication : 2015 | ||
| Authors : Ahmed. A. A. Gad-ElRab, Almohammady S. Alsharkawy | ||
| DOI : 10.14445/22312803/IJCTT-V19P109 |
Ahmed. A. A. Gad-ElRab, Almohammady S. Alsharkawy "Adaptive Context-Aware Data Management Scheme for Mobile Environments". International Journal of Computer Trends and Technology (IJCTT) V19(1):41-50, Jan 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Data sharing and delivering in mobile environments is one of the most important interest issues in such environments. Therefore, data management is one of the biggest problems in these dynamic environments. In this dynamic environment, a user`s context such as user`s profile, user`s social situation, and user`s interests may affect the overall performance of this system. So, we need to find a new data management scheme that takes into account all available users’ context. In this paper, we propose a new adaptive Context-Aware Data Management Scheme to adapt data management by broadcasting a data and information to a set of mobile users who have a context that similar to source node. By using this scheme, we can control the spreading of data through these dynamic environments by evaluating mobile nodes using a context, the evaluation process relies on multi-criteria decision making approaches FAHP and SAW. Our simulation results show the effectiveness of the proposed algorithm.
References
[1] Zadeh Lotfi A. Fuzzy sets. Information and control, 8(3):338–353, 1965.
[2] Ahmed. A. A. Gad-ElRab; T. A. A. Alzohairy; Almohammady S. Alsharkawy. Cluster-based context-aware routing protocol for mobile environments. International Journal of Advanced Computer Science and Applications, Accepted Dec 2014, Published 6(1), 2015.
[3] Ahmed. A. A. Gad-ElRab; T. A. A. Alzohairy; Almohammady S. Alsharkawy. Probabilistic context retrieval time-based algorithms in dynamic environments. International Journal of Current Engineering and Technology, 4(3):1633–1642, 2014.
[4] Kaufmann ; Arnold, Gupta ; Madan M, and Kaufmann ; A. Introduction to fuzzy arithmetic: theory and applications. Van Nostrand Reinhold Company New York, 1985.
[5] Kahraman ; Cengiz, Ruan ; Da, and Tolga ; Ethem. Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows. Information Sciences, 142(1):57–76, 2002.
[6] Hyojun Lim and Chongkwon Kim. Multicast tree construction and flooding in wireless ad hoc networks. In Proceedings of the 3rd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems, pages 61–68. ACM, 2000.
[7] OMNET++ OpenSim Ltd. http://www.omnetpp.org.
[8] David A Maltz and David B Johnson. A simple protocol for multicast and broadcast in mobile ad hoc networks. Technical report, 2001.
[9] [9] Shu ; Ming-Hung, Cheng ; Ching-Hsue, and Chang ; Jing-Rong. Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly. Microelectronics Reliability, 46(12):2139–2148, 2006.
[10] Yu-Chee Tseng, Sze-Yao Ni, Yuh-Shyan Chen, and Jang-Ping Sheu. The broadcast storm problem in a mobile ad hoc network. Wireless networks, 8(2-3):153–167, 2002.
[11] Gwo-Hshiung; Tzeng, Tzeng; Gwo Hshiung, and Huang; Jih-Jeng. Multiple attribute decision making: Methods and applications. CRC Press,2011.
Keywords
Context, Data Management, Data Sharing, and Mobile Communications