Abstract
In this work, we present a hybrid intelligent simulation system based on Particle Swarm Optimization (PSO) and Hill Climbing (HC) called WMN-PSOHC for node placement problem in Wireless Mesh Networks (WMNs). As mesh router replacement methods, we consider Fast Convergence Rational Decrement of Vmax Method (FC-RDVM) and Linearly Decreasing Vmax Method (LDVM). By using WMN-PSOHC system, we carry out a comparison study between FC-RDVM and LDVM considering Uniform distribution of mesh clients and different instances. The simulation results show that FC-RDVM has better behavior compared with LDVM.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Akyildiz, I.F., Wang, X., Wang, W.: Wireless mesh networks: a survey. Comput. Netw. 47(4), 445–487 (2005)
Amaldi, E., Capone, A., Cesana, M., Filippini, I., Malucelli, F.: Optimization models and methods for planning wireless mesh networks. Comput. Netw. 52(11), 2159–2171 (2008)
Barolli, A., Sakamoto, S., Ohara, S., Barolli, L., Takizawa, M.: Performance analysis of wmns by wmn-psohc-dga simulation system considering random inertia weight and linearly decreasing vmax router replacement methods. In: Barolli, L., Hussain, F.K., Ikeda, M. (eds.) CISIS 2019. AISC, vol. 993, pp. 13–21. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-22354-0_2
Barolli, A., Bylykbashi, K., Qafzezi, E., Sakamoto, S., Barolli, L., Takizawa, M.: A Comparison Study of UNDX and UNDX-m Methods for LDVM and RDVM Router Replacement Methods by WMN-PSODGA Hybrid Intelligent System Considering Stadium Distribution. In: International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2022), Springer, pp 1–14 (2022). https://doi.org/10.1007/978-3-031-20029-8_1
Clerc, M., Kennedy, J.: The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput. 6(1), 58–73 (2002)
Franklin, A.A., Murthy, C.S.R.: Node Placement Algorithm for Deployment of Two-tier Wireless Mesh Networks. In: Proceedings of the Global Telecommunications Conference, pp. 4823–4827 (2007)
Islam, M.M., Funabiki, N., Sudibyo, R.W., Munene, K.I., Kao, W.C.: A dynamic access-point transmission power minimization method using pi feedback control in elastic wlan system for iot applications. Internet Things 8(100), 089 (2019)
Muthaiah, S.N., Rosenberg, C.P.: Single Gateway Placement in Wireless Mesh Networks. In: Proceedings of the 8th International IEEE Symposium on Computer Networks, pp. 4754–4759 (2008)
Poli, R., Kennedy, J., Blackwell, T.: Particle Swarm Optimization. Swarm Intell. 1(1), 33–57 (2007)
Sakamoto, S., Lala, A., Oda, T., Kolici, V., Barolli, L., Xhafa, F.: Analysis of WMN-HC Simulation System Data Using Friedman Test. In: The Ninth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2015), IEEE, pp. 254–259 (2015)
Sakamoto, S., Oda, T., Ikeda, M., Barolli, L., Xhafa, F.: Implementation and evaluation of a simulation system based on particle swarm optimisation for node placement problem in wireless mesh networks. Int. J. Commun. Netw. Distrib. Syst. 17(1), 1–13 (2016)
Sakamoto, S., Ozera, K., Ikeda, M., Barolli, L.: Implementation of intelligent hybrid systems for node placement problem in wmns considering particle swarm optimization, hill climbing and simulated annealing. Mobile Netw. Appl. 23(1), 27–33 (2018)
Sakamoto, S., Barolli, L., Okamoto, S.: A comparison study of linearly decreasing inertia weight method and rational decrement of vmax method for wmns using wmn-psohc intelligent system considering normal distribution of mesh clients. In: Barolli, L., Natwichai, J., Enokido, T. (eds.) EIDWT 2021. LNDECT, vol. 65, pp. 104–113. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-70639-5_10
Schutte, J.F., Groenwold, A.A.: A study of global optimization using particle swarms. J. Global Optim. 31(1), 93–108 (2005)
Shi, Y.: Particle Swarm Optimization. IEEE Connect. 2(1), 8–13 (2004)
Shi, Y., Eberhart, R.C.: Parameter selection in particle swarm optimization. In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds.) EP 1998. LNCS, vol. 1447, pp. 591–600. Springer, Heidelberg (1998). https://doi.org/10.1007/BFb0040810
Xhafa, F., Sanchez, C., Barolli, L.: Ad hoc and Neighborhood Search Methods for Placement of Mesh Routers in Wireless Mesh Networks. In: Proceedings of 29th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS-2009), pp. 400–405 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Sakamoto, S., Barolli, A., Liu, Y., Kulla, E., Barolli, L., Takizawa, M. (2023). A Comparison Study of FC-RDVM and LDVM Router Placement Methods for WMNs Considering Uniform Distribution of Mesh Clients and Different Instances. In: Barolli, L. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 161. Springer, Cham. https://doi.org/10.1007/978-3-031-26281-4_32
Download citation
DOI: https://doi.org/10.1007/978-3-031-26281-4_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-26280-7
Online ISBN: 978-3-031-26281-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)