An Efficient Architecture for Query Processing in Mobile Environment

Summary The downstream communication ability from servers to clients is much better than the upstream communication ability from clients back to servers, in various existing and rising application domains. For query processing in mobile environment, a wellorganized architecture is proposed in this paper. Utmost of downstream communication capacity of server is exploited by the proposed architecture to offer the client with the desirable information through least requirement for Data pull. This is for the reason that Pull-based systems are a poor match for asymmetric communications environments, as they need considerable upstream communications capabilities. The mobile clients are allowed to maintain a service execution neighboring to their location perspective and to thematically find the mobile, by the proposed method. For managing host mobility, an adaptive updating algorithm is too offered. The lessening of the client power utilization and raise in query efficiency are revealed by our architecture using extensive simulation results.

[1]  Timothy W. Finin,et al.  In reputation we believe: query processing in mobile ad-hoc networks , 2004, The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004..

[2]  Alexandros Nanopoulos,et al.  Continuous Range Query Processing for Network Constrained Mobile Objects , 2006, ICEIS.

[3]  Ling Liu,et al.  MobiEyes: A Distributed Location Monitoring Service Using Moving Location Queries , 2006, IEEE Transactions on Mobile Computing.

[4]  S. K. M. Rao,et al.  Broadcast Disk with Adaptive scheduling Technique for Mobile Ad-hoc Networks , 2008 .

[5]  Mikhail J. Atallah,et al.  Privacy-preserving location-dependent query processing , 2004, The IEEE/ACS International Conference onPervasive Services, 2004. ICPS 2004. Proceedings..

[6]  Shojiro Nishio,et al.  Strategies for Query Processing in Mobile Computing , 1994, Mobidata.

[7]  Ahmed K. Elmagarmid,et al.  Client-server computing in mobile environments , 1999, CSUR.

[8]  Le Gruenwald,et al.  Mobile ad-hoc network data communication in large geographic areas , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[9]  Ming-Syan Chen,et al.  Query processing in a mobile computing environment: exploiting the features of asymmetry , 2005, IEEE Transactions on Knowledge and Data Engineering.

[10]  Sylvain Lecomte,et al.  Adaptive query processing in mobile environment , 2005, MPAC '05.

[11]  Wang-Chien Lee,et al.  Optimizing parallel itineraries for knn query processing in wireless sensor networks , 2007, CIKM '07.

[12]  Wen-Chih Peng,et al.  Privacy Protected Query Processing on Spatial Networks , 2007, 2007 IEEE 23rd International Conference on Data Engineering Workshop.

[13]  Joseph M. Hellerstein,et al.  Eddies: continuously adaptive query processing , 2000, SIGMOD '00.

[14]  Daniel Barbará,et al.  Mobile Computing and Databases - A Survey , 1999, IEEE Trans. Knowl. Data Eng..

[15]  Margaret H. Dunham,et al.  Location dependent query processing , 2001, MobiDe '01.

[16]  Stefano Chessa,et al.  Enabling Context Awareness through Distributed Query Processing in Wireless Sensor Networks , 2007 .

[17]  Birgitta König-Ries,et al.  Service-Orientation in Mobile Computing - An Overview , 2006, 7th International Conference on Mobile Data Management (MDM'06).

[18]  Jaroslav Pokorný,et al.  Database architectures: Current trends and their relationships to environmental data management , 2006, Environ. Model. Softw..

[19]  Anupam Joshi,et al.  Query Routing and Processing in Mobile Ad-Hoc Environments , 2001 .