Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Novel Handoff Frequency Algorithms for Vehicular Area Networks Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Performance Evaluation of WMNs Using Simulated Annealing Algorithm Considering Different Number Iterations per Phase and Normal Distribution

Authors : Shinji Sakamoto, Tetsuya Oda, Elis Kulla, Makoto Ikeda, Leonard Barolli, Fatos Xhafa

Published in: Information Technology Convergence

Publisher: Springer Netherlands

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Wireless Mesh Networks (WMNs) currently have a lot of attention in wireless research and technology community due to their importance for providing cost-efficient broadband connectivity. Issues for achieving the network connectivity and user coverage are related with the node placement problem. In this work, we consider the router node placement problem in WMNs. We want to find the most optimal distribution of router nodes in order to provide the best network connectivity and provide the best client coverage in a set of uniformly distributed clients. We use our WMN-SA simulation system to calculate the size of Giant Component (GC) and number of covered users with different number of iterations per phase of Simulated Annealing (SA) algorithm calculations. From results, SA is good algorithm for optimizing the size of GC. While in terms of number of covered users, it does not cover all users. The performance of WMN-SA system increases when we use more iterations per phase.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Performance Evaluation of WMNs Using Hill Climbing Algorithm Considering Giant Component and Different Distributions
next chapter UBMLRSS–Cognitive Financial Information Systems
Footnotes
1
Initial solution, fitness evaluation and movement types are the same for Hill Climbing and Simulated Annealing
 
Literature
1.
Akyildiz F, Wang X, Wang W (2005) Wireless mesh networks: a survey. Comput Netw 47(4):445–487CrossRefMATH
2.
Nandiraju N, Nandiraju D, Santhanama L, He B, ,Wang J and Agrawal D (2007) Wireless mesh networks: current challenges and future direction of web-in-the-sky. IEEE Wireless Commun,pp 79–89
3.
Chen Ch, Chekuri Ch (2007) Urban wireless mesh network planning: the case of directional antennas. Tech report no. UIUCDCS-R-2007-2874, Department of computer science, University of Illinois at urbana-champaign
4.
Garey MR, Johnson DS (1979) Computers and intractability : a guide to the theory of np-completeness. Freeman, San FranciscoMATH
5.
Lim B, Rodrigues F, Wang, Xua Zh (2005) k- center problems with minimum coverage. Theoret Comput Sci 332(1-3):1–17
6.
Amaldi E, Capone A, Cesana M, Filippini I, Malucelli F (2008) Optimization models and methods for planning wireless mesh networks. Comput Netw 52:2159–2171CrossRefMATH
7.
Wang J, Xie B, Cai K, Agrawal DP (2007) Efficient mesh router placement in wireless mesh networks. In: Proceedings of MASS-2007, Pisa, Italy, pp 9–11
8.
Muthaiah SN,Rosenberg C (2008) Single gateway placement in wireless mesh networks. In: Proceedings of 8th international IEEE symposium on computer networks, Turkey, pp 4754–4759
9.
Zhou P, Manoj BS, Rao RA (2007) Gateway placement algorithm in wireless mesh networks. In: Proceedings of the 3rd annual international wireless internet conference (WICON-2007), pp 1–9
10.
Tang M (2009) Gateways placement in backbone wireless mesh networks. Int J Commun Net Syst Sci 2(1):45–50
11.
Franklin A and Siva Ram Murthy C (2007) Node placement algorithm for deployment of two-tier wireless mesh networks. In: Proceedings of IEEE GLOBECOM-2007, Washington, USA, pp 4823–4827
12.
Vanhatupa T, Hannikainen M and Hamalainen TD (2007) Genetic algorithm to optimize node placement and configuration for WLAN planning. In: Proceedings of 4th international symposium on wireless communication systems, pp 612–616
13.
14.
Xhafa F, Sanchez Ch, Barolli L, Miho R (2010) An annealing approach to router nodes placement problem in wireless mesh networks In: Proceedings of CISIS-2010, pp 245–252
15.
Holland J (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor
16.
Xhafa F, Sanchez C, Barolli L, (2010) Genetic algorithms for efficient placement of router nodes in wireless mesh networks.In: Proceedings of AINA 2010, pp 465–472
Metadata
Title
Performance Evaluation of WMNs Using Simulated Annealing Algorithm Considering Different Number Iterations per Phase and Normal Distribution
Authors
Shinji Sakamoto
Tetsuya Oda
Elis Kulla
Makoto Ikeda
Leonard Barolli
Fatos Xhafa
Copyright Year
2013
Publisher
Springer Netherlands
Book
Information Technology Convergence

Print ISBN: 978-94-007-6995-3

Electronic ISBN: 978-94-007-6996-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-94-007-6996-0_18