A fuzzy-based data replication system for QoS improvement in MANETs

In Mobile Ad hoc Networks (MANETs), mobile wireless devices communicate together in an autonomous fashion. The transmission is done by multi-hop routes. Because of mobility and limited resources in MANET, it is difficult to guarantee the QoS requirements. In this work, we propose a fuzzy-based system, which improves the QoS of MANETs via data replication. We aim to support critical requirement applications based on MANETs such as disaster management scenarios in which data retrieval is an important requirement to support real time decision making. There are several techniques to optimize data replication strategy for this task. In this paper, we use fuzzy logic and build a system which has three input linguistic parameters and one output linguistic parameter. We evaluate by simulations the proposed system. The simulation results show that the proposed system has a good decision.

[1]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[2]  Patrick Valduriez,et al.  Consistency management for partial replication in a high performance database cluster , 2005, 11th International Conference on Parallel and Distributed Systems (ICPADS'05).

[3]  J. Mendel.  Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.

[4]  Le Gruenwald,et al.  DREAM: A Data Replication Technique for Real-Time Mobile Ad-hoc Network Databases , 2006, 22nd International Conference on Data Engineering (ICDE'06).

[5]  Gustavo Alonso,et al.  A new approach to developing and implementing eager database replication protocols , 2000, TODS.

[6]  Patrick Valduriez,et al.  Survey of data replication in P2P systems , 2006 .

[7]  Ru Li,et al.  A designing of mobility management mechanism in MANET in disaster-rescue situations , 2008, 2008 11th IEEE International Conference on Communication Technology.

[8]  L. Zadeh,et al.  Fuzzy Logic for the Management of Uncertainty , 1992 .

[9]  Ebrahim H. Mamdani,et al.  A linguistic self-organizing process controller , 1979, Autom..

[10]  S. Kuppuswami,et al.  Replication Strategies for Data Grids , 2006, 2006 International Conference on Advanced Computing and Communications.

[11]  Xin Zhang,et al.  Hierarchical and Modular Surveillance Systems in ITS , 2011, IEEE Intelligent Systems.

[12]  Mark Coates,et al.  Video-on-Demand Networks: Design Approaches and Future Challenges , 2007, IEEE Network.

[13]  Mario Pichler,et al.  Considerations and requirements for tools supporting mobile teams , 2002, Proceedings 22nd International Conference on Distributed Computing Systems Workshops.

[14]  Qiongxin Liu,et al.  Dynamic Data Replication Based on Access Cost in Distributed Systems , 2009, 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology.

[15]  Fatos Xhafa,et al.  An Event-based Approach to Supporting Team Coordination and Decision Making in Disaster Management Scenarios , 2011, 2011 Third International Conference on Intelligent Networking and Collaborative Systems.

[16]  Esther Pacitti,et al.  Fast Algorithms for Maintaining Replica Consistency in Lazy Master Replicated Databases , 1999, VLDB.

[17]  Toshinori Munakata,et al.  Fuzzy systems: an overview , 1994, CACM.

[18]  Yasushi Saito,et al.  Optimistic replication , 2005, CSUR.

[19]  Mykola Pechenizkiy,et al.  Towards the framework of adaptive user interfaces for eHealth , 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

[20]  F. Martin McNeill,et al.  Fuzzy Logic: A Practical Approach , 1994 .

[21]  Sergio L. Toral Marín,et al.  Distributed urban traffic applications based on CORBA event services , 2011, Int. J. Space Based Situated Comput..

[22]  Takahiro Hara.  Data replication issues in mobile ad hoc networks , 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

[23]  O. Ozkasap,et al.  Applicability of eigenvector centrality principle to data replication in MANETs , 2007, 2007 22nd international symposium on computer and information sciences.

[24]  Reza Monsefi,et al.  Optimal Number of Replicas with QoS Assurance in Data Grid Environment , 2008, 2008 Second Asia International Conference on Modelling & Simulation (AMS).

[25]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[26]  Dimosthenis Kyriazis,et al.  Dynamic QoS-aware data replication in grid environments based on data "importance" , 2012, Future Gener. Comput. Syst..

[27]  Stefan Dulman,et al.  NetDetect: Neighborhood Discovery in Wireless Networks Using Adaptive Beacons , 2011, 2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems.

[28]  Panganamala Ramana Kumar,et al.  RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN , 2001 .