Performance Evaluation of WMN-GA System for Node Placement in WMNs for Normal and Uniform Distributions of Mesh Clients Considering Different Grid Shapes

In this paper, we evaluate the performance of WMN-GA system for node placement problem in WMNs. For evaluation, we consider Normal and Uniform Distribution of mesh clients and different grid shapes. The simulation results shows that grid shape effects in the performance of WMN-GA. With the increasing of grid size, the mesh routers can not cover all mesh clients in the grid size and the performance of the system is decreased. The system performs better for Normal distribution of mesh clients.

[1]  C. Siva Ram Murthy,et al.  Node Placement Algorithm for Deployment of Two-Tier Wireless Mesh Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[2]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

[3]  Maolin Tang,et al.  Gateways Placement in Backbone Wireless Mesh Networks , 2009, Int. J. Commun. Netw. Syst. Sci..

[4]  Catherine Rosenberg,et al.  Single Gateway Placement in Wireless Mesh Networks , 2008 .

[5]  Jörg Denzinger,et al.  Evaluating Different Genetic Operators in the Testing for Unwanted Emergent Behavior Using Evolutionary Learning of Behavior , 2006, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[6]  Ian F. Akyildiz,et al.  Wireless mesh networks: a survey , 2005, Comput. Networks.

[7]  Fatos Xhafa,et al.  An Experimental Study on Genetic Algorithms for Resource Allocation on Grid Systems , 2007, J. Interconnect. Networks.

[8]  Fatos Xhafa,et al.  Ad Hoc and Neighborhood Search Methods for Placement of Mesh Routers in Wireless Mesh Networks , 2009, 2009 29th IEEE International Conference on Distributed Computing Systems Workshops.

[9]  Dharma P. Agrawal,et al.  Efficient Mesh Router Placement in Wireless Mesh Networks , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.

[10]  Paul B. Lochert,et al.  Adopting dynamic operators in a genetic algorithm , 2007, GECCO '07.

[11]  Fatos Xhafa,et al.  Tuning Struggle Strategy in Genetic Algorithms for Scheduling in Computational Grids , 2008, 2008 7th Computer Information Systems and Industrial Management Applications.

[12]  Andrew Lim,et al.  k-Center problems with minimum coverage , 2004, Theor. Comput. Sci..

[13]  Michael O. Odetayo,et al.  Empirical study of the interdependencies of genetic algorithm parameters , 1997, EUROMICRO 97. Proceedings of the 23rd EUROMICRO Conference: New Frontiers of Information Technology (Cat. No.97TB100167).

[14]  M. Hannikainen,et al.  Genetic Algorithm to Optimize Node Placement and Configuration for WLAN Planning , 2007, 2007 4th International Symposium on Wireless Communication Systems.

[15]  Xin Yao,et al.  An empirical study of genetic operators in genetic algorithms , 1993, Microprocess. Microprogramming.