DocumentCode
3174663
Title
Predict the Query Transaction Using Fuzzy Logic for MANETs Data Caching
Author
Romsaiyud, Walisa ; Premchaiswadi, Wichain
Author_Institution
Grad. Sch. of Inf. Technol., Siam Univ., Bangkok, Thailand
fYear
2010
fDate
9-11 June 2010
Firstpage
139
Lastpage
142
Abstract
In recent years, Caching technique (pull-based) in Mobile Ad hoc networks (MANETs) has become a promising technique in solving or mitigating the problems of performance, availability, scalability and resource paucity. MANETs consists of mobile nodes which communicate with each other through wireless medium without any fixed infrastructure. Mobile nodes may change rapidly and unpredictably over time. Accessing services and data over the network can be very slow and hence, the caching frequently accessed data is an effective technique for improving performance. It is used to minimize a repetitive querying of nearly stagnant data. The data can be queried once and stored in a cache, and the mobile node repeatedly accesses the cache for the data, or perhaps the cache is updated to get fresh data. There are a lot of research works going on to solve the problems of How to reduce client mobile side latency, How to maintain cache consistency between various caches and the servers and how to enable cooperation between multiple peer caches etc. In This paper presents a model to predict the data in cache operation on the mobile side by applying fuzzy logic method in order to prevent the transaction failures during execution in the mobile system that communicating across the wireless networks.
Keywords
ad hoc networks; cache storage; fuzzy logic; mobile radio; query processing; telecommunication computing; transaction processing; MANET data caching technique; client mobile side latency; fuzzy logic method; mobile ad hoc networks; mobile nodes; multiple peer caches; query transaction prediction; wireless medium; wireless networks; Base stations; Fuzzy logic; Information technology; Mobile ad hoc networks; Mobile communication; Mobile computing; Peer to peer computing; Routing; Scheduling; Wireless networks; Data Caching; Fuzzy Scheduler; Mobile Ad hoc networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering Artificial Intelligence Networking and Parallel/Distributed Computing (SNPD), 2010 11th ACIS International Conference on
Conference_Location
London
Print_ISBN
978-1-4244-7422-6
Electronic_ISBN
978-1-4244-7421-9
Type
conf
DOI
10.1109/SNPD.2010.52
Filename
5521515
Link To Document