An Integrated Simulation System Considering WMN-PSO Simulation System and Network Simulator 3

With the fast development of wireless technologies, Wireless Mesh Net-works (WMNs) are becoming an important networking infrastructure due to their low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a simulation system based on Particle Swam Optimization for solving node placement problem in wireless mesh networks, called WMN-PSO. In this paper, we implement an integrated system considering WMN-PSO and net-work simulator 3 (ns-3). For simulation, we consider two WMN architectures. From simulation results, we found that the total received throughput of I/BWMNis higher than Hybrid WMN and the delay of I/B WMN is lower than Hybrid WMN.

[1]  Fatos Xhafa,et al.  Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation , 2016, 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA).

[2]  Christian Nyberg,et al.  Modeling, implementation and evaluation of IEEE 802.11ac in NS-3 for enterprise networks , 2016, 2016 Wireless Days (WD).

[3]  Makoto Ikeda Analysis of mobile ad-hoc network routing protocols using shadowing propagation model , 2012, Int. J. Space Based Situated Comput..

[4]  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.

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

[6]  Leonard Barolli,et al.  An Integrated System for Wireless Cellular and Ad-Hoc Networks Using Fuzzy Logic , 2014, 2014 International Conference on Intelligent Networking and Collaborative Systems.

[7]  Fatos Xhafa,et al.  Evaluation of WMN-GA for different mutation operators , 2012, Int. J. Space Based Situated Comput..

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

[9]  Fatos Xhafa,et al.  Performance evaluation of WMN-GA for different mutation and crossover rates considering number of covered users parameter , 2012, Mob. Inf. Syst..

[10]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[11]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[12]  Fatos Xhafa,et al.  A comparison study of Hill Climbing, Simulated Annealing and Genetic Algorithm for node placement problem in WMNs , 2014, J. High Speed Networks.

[13]  Fatos Xhafa,et al.  Genetic algorithms for satellite scheduling problems , 2012, Mob. Inf. Syst..

[14]  Fatos Xhafa,et al.  A Comparison Study of Simulated Annealing and Genetic Algorithm for Node Placement Problem in Wireless Mesh Networks , 2013, J. Mobile Multimedia.

[15]  Andrew Lim,et al.  k-Center Problems with Minimum Coverage , 2004, COCOON.

[16]  Makoto Ikeda End-to-End single and multiple flows fairness in mobile ad-hoc networks , 2012, J. Mobile Multimedia.

[17]  Tomoya Enokido,et al.  TBB-Scheme for Reliably Broadcast Messages among Peer Processes , 2010, 2010 13th International Conference on Network-Based Information Systems.

[18]  Edoardo Amaldi,et al.  Optimization models and methods for planning wireless mesh networks , 2008, Comput. Networks.

[19]  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.

[20]  Tarek M. Mahmoud,et al.  Solving the Wireless Mesh Network Design Problem using Genetic Algorithm and Simulated Annealing Optimization Methods , 2014 .

[21]  Leonard Barolli,et al.  Experimental Results of a MANET Testbed for Different Settings of HELLO Packets of OLSR Protocol , 2013, J. Mobile Multimedia.

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

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

[24]  Makoto Takizawa,et al.  A Survey on Clustering Algorithms for Wireless Sensor Networks , 2010, 2010 13th International Conference on Network-Based Information Systems.

[25]  Akio Koyama,et al.  A Proposal and Evaluation of Access Point Allocation Algorithm for Wireless Mesh Networks , 2013, 2013 16th International Conference on Network-Based Information Systems.

[26]  Fatos Xhafa,et al.  Application of WMN-SA Simulation System for Node Placement in Wireless Mesh Networks: A Case Study for a Realistic Scenario , 2014, Int. J. Mob. Comput. Multim. Commun..

[27]  Albert A. Groenwold,et al.  A Study of Global Optimization Using Particle Swarms , 2005, J. Glob. Optim..

[28]  Leonard Barolli,et al.  Evaluation of MANET protocols for different indoor environments: results from a real MANET testbed , 2012, Int. J. Space Based Situated Comput..

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

[30]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[31]  Leonard Barolli,et al.  Performance of optimized link state routing protocol for video streaming application in vehicular ad‐hoc networks cloud computing , 2015, Concurr. Comput. Pract. Exp..

[32]  Leonard Barolli,et al.  FBMIS: A Fuzzy-Based Multi-interface System for Cellular and Ad Hoc Networks , 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.