Skip to main content
Top

2017 | OriginalPaper | Chapter

Power Analysis of a Network Using DECAP Algorithm by Varying Network Sizes and Users

Authors : Anup Bhola, C. K. Jha

Published in: Information, Communication and Computing Technology

Publisher: Springer Singapore

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

search-config
loading …

Abstract

Green Networking is of recent interest. Network devices like access points, switches, computer, server etc. are the major source of energy consumption. To eliminate the problem of energy wastage of Access Points switched on all the time an algorithm is introduced. In this paper, an algorithm is developed to save energy and to avoid wastage of energy due to continuously ON Access Point switches. This algorithm is applied to the centralized controller, which maintains the whole network information and configuration of Access Point, Switches, and Clients etc. A log file is also maintained to keeps track of the Sleep mode timing of the Access Points. Controller is a device that stores the information by linking the client, cluster head, secondary Access Points simultaneously. Communication between all modules (client, cluster head, secondary AP) is done by sending the packets from source to destination. In order to validate the algorithm, experiment has been carried out in Banasthali Vidyapith by varying network size, users, number of Access Points deployed etc. The presented approach works in two phase’s first is the association phase and second one is the disassociation phase. From the results, it is inferred that the proposed algorithm saves large amount of energy.

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!

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!

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!

Literature
1.
go back to reference Islam, M.E., Funabiki, N., Nakanishi, T.: Extensions of access-point aggregation algorithm for large-scale wireless local area networks. Int. J. Netw. Comput. 5(1), 200–222 (2015)CrossRef Islam, M.E., Funabiki, N., Nakanishi, T.: Extensions of access-point aggregation algorithm for large-scale wireless local area networks. Int. J. Netw. Comput. 5(1), 200–222 (2015)CrossRef
2.
go back to reference Lu, Y., et al.: A new green clustering algorithm for energy efficiency in high-density WLANs. KSII Trans. Internet Inf. Syst. (TIIS) 8(2), 326–354 (2014)MathSciNetCrossRef Lu, Y., et al.: A new green clustering algorithm for energy efficiency in high-density WLANs. KSII Trans. Internet Inf. Syst. (TIIS) 8(2), 326–354 (2014)MathSciNetCrossRef
3.
go back to reference Debele, F.G., et al.: Experimenting resource-on-demand strategies for green WLANs. ACM SIGMETRICS Perform. Eval. Rev. 42(3), 61–66 (2014)CrossRef Debele, F.G., et al.: Experimenting resource-on-demand strategies for green WLANs. ACM SIGMETRICS Perform. Eval. Rev. 42(3), 61–66 (2014)CrossRef
4.
go back to reference Bianzino, A.P., et al.: A survey of green networking research. Commun. Surv. Tutor. IEEE 14(1), 3–20 (2012)CrossRef Bianzino, A.P., et al.: A survey of green networking research. Commun. Surv. Tutor. IEEE 14(1), 3–20 (2012)CrossRef
5.
go back to reference Tang, S., et al.: Wake-up receiver for radio-on-demand wireless LANs.EURASIP. J. Wirel. Commun. Netw. 1, 1–13 (2012)CrossRef Tang, S., et al.: Wake-up receiver for radio-on-demand wireless LANs.EURASIP. J. Wirel. Commun. Netw. 1, 1–13 (2012)CrossRef
6.
go back to reference Yoo, J.W., Park, K.H.: A cooperative clustering protocol for energy saving of mobile devices with WLAN and Bluetooth interfaces. Mobile Comput. IEEE Trans. 10(4), 491–504 (2011)CrossRef Yoo, J.W., Park, K.H.: A cooperative clustering protocol for energy saving of mobile devices with WLAN and Bluetooth interfaces. Mobile Comput. IEEE Trans. 10(4), 491–504 (2011)CrossRef
7.
go back to reference Bolla, R., et al.: Energy efficiency in the future internet: a survey of existing approaches and trends in energy-aware fixed network infrastructures. Commun. Surv. Tutor. IEEE 13(2), 223–244 (2011)CrossRef Bolla, R., et al.: Energy efficiency in the future internet: a survey of existing approaches and trends in energy-aware fixed network infrastructures. Commun. Surv. Tutor. IEEE 13(2), 223–244 (2011)CrossRef
8.
go back to reference Litjens, R., Jorguseski, L.: Potential of energy-oriented network optimisation: switching off over-capacity in off-peak hours. In: 2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC). IEEE (2010) Litjens, R., Jorguseski, L.: Potential of energy-oriented network optimisation: switching off over-capacity in off-peak hours. In: 2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC). IEEE (2010)
9.
go back to reference Anastasi, G., et al.: 802.11 power-saving mode for mobile computing in Wi-Fi hotspots: limitations, enhancements and open issues. Wirel. Netw. 14(6), 745–768 (2008)CrossRef Anastasi, G., et al.: 802.11 power-saving mode for mobile computing in Wi-Fi hotspots: limitations, enhancements and open issues. Wirel. Netw. 14(6), 745–768 (2008)CrossRef
10.
go back to reference Murty, R., et al.: Designing high performance enterprise Wi-Fi networks. NSDI 8, 73–88 (2008) Murty, R., et al.: Designing high performance enterprise Wi-Fi networks. NSDI 8, 73–88 (2008)
11.
go back to reference Jain, A., et al.: Exploiting physical layer power control mechanisms in IEEE 802.11b network interfaces. Technical report CU-CS-924-01, University of Colorado, Boulder, CO (2002) Jain, A., et al.: Exploiting physical layer power control mechanisms in IEEE 802.11b network interfaces. Technical report CU-CS-924-01, University of Colorado, Boulder, CO (2002)
12.
go back to reference Benini, L., Glynn, P., De Micheli, G.: Event-driven power management (2001) Benini, L., Glynn, P., De Micheli, G.: Event-driven power management (2001)
Metadata
Title
Power Analysis of a Network Using DECAP Algorithm by Varying Network Sizes and Users
Authors
Anup Bhola
C. K. Jha
Copyright Year
2017
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6544-6_7

Premium Partner