Using In-Network Modeling Strategy to Manage Data in MANET Database

With the development of computer networks and wireless communication technologies, more interests have been taken in mobile wireless ad hoc networks (MANET) that are only constructed by wireless hosts. In MANET database system, research must take into consideration issues both on clients and servers which are all mobile and power limited. Wireless sensor networks can be seen as data source in many applications based on MANET, such as the command system in battlefields and the large-scale geography monitor system. In these applications, mobile clients query the data generated by wireless sensor networks through mobile servers. Up to now, few papers have discussed the methods of data management in such complicated systems which include mobile clients, mobile servers and wireless sensor networks. The data of sensor networks can be treated as time series, and in most cases these time-series can construct a probability model such as AR, ARMA. Moreover, the communication cost can be saved and the future data can be predicted beforehand by using the

[1]  Krithi Ramamritham,et al.  Broadcast on demand: efficient and timely dissemination of data in mobile environments , 1997, Proceedings Third IEEE Real-Time Technology and Applications Symposium.

[2]  Vikram Srinivasan,et al.  Energy-efficient caching strategies in ad hoc wireless networks , 2003, MobiHoc '03.

[3]  Tomasz Imielinski,et al.  Sleepers and workaholics: caching strategies in mobile environments , 1994, SIGMOD '94.

[4]  Michael J. Franklin,et al.  Scheduling for large-scale on-demand data broadcasting , 1998, Proceedings. IEEE INFOCOM '98, the Conference on Computer Communications. Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies. Gateway to the 21st Century (Cat. No.98.

[5]  Jianzhong Li,et al.  TS-Cache: A Novel Caching Strategy to Manage Data in MANET Database , 2004, WAIM.

[6]  Shi Sheng Cache Coherence Management Based on Data Trend Analysis in HA-DMDB System , 2004 .

[7]  Wei Hong,et al.  Model-Driven Data Acquisition in Sensor Networks , 2004, VLDB.

[8]  Philippe Bonnet,et al.  Towards Sensor Database Systems , 2001, Mobile Data Management.

[9]  Ken C. K. Lee,et al.  Semantic query caching in a mobile environment , 1999, MOCO.

[10]  Takahiro Hara,et al.  Replica allocation in ad hoc networks with periodic data update , 2002, Proceedings Third International Conference on Mobile Data Management MDM 2002.

[11]  Margaret H. Dunham,et al.  Using semantic caching to manage location dependent data in mobile computing , 2000, MobiCom '00.

[12]  Margaret H. Dunham,et al.  Using clustering for effective management of a semantic cache in mobile computing , 1999, MobiDe '99.

[13]  Sharad Mehrotra,et al.  Capturing sensor-generated time series with quality guarantees , 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).

[14]  Le Gruenwald,et al.  Energy-efficient data broadcasting in mobile ad-hoc networks , 2002, Proceedings International Database Engineering and Applications Symposium.

[15]  Guohong Cao,et al.  A scalable low-latency cache invalidation strategy for mobile environments , 2000, MobiCom '00.

[16]  Le Gruenwald,et al.  Research issues for data communication in mobile ad-hoc network database systems , 2003, SGMD.

[17]  John Zahorjan,et al.  The challenges of mobile computing , 1994, Computer.

[18]  Tomasz Imielinski,et al.  Power Efficient Filtering of Data an Air , 1994, EDBT.

[19]  Anthony Ephremides,et al.  Algorithms for Energy-Efficient Multicasting in Static Ad Hoc Wireless Networks , 2001, Mob. Networks Appl..