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

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Information, Communication and Computing Technology (ICICCT 2017)

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.

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References

  1. 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)

    Article  Google Scholar 

  2. 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)

    Article  MathSciNet  Google Scholar 

  3. Debele, F.G., et al.: Experimenting resource-on-demand strategies for green WLANs. ACM SIGMETRICS Perform. Eval. Rev. 42(3), 61–66 (2014)

    Article  Google Scholar 

  4. Bianzino, A.P., et al.: A survey of green networking research. Commun. Surv. Tutor. IEEE 14(1), 3–20 (2012)

    Article  Google Scholar 

  5. Tang, S., et al.: Wake-up receiver for radio-on-demand wireless LANs.EURASIP. J. Wirel. Commun. Netw. 1, 1–13 (2012)

    Article  Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. 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)

    Article  Google Scholar 

  8. 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)

    Google Scholar 

  9. 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)

    Article  Google Scholar 

  10. Murty, R., et al.: Designing high performance enterprise Wi-Fi networks. NSDI 8, 73–88 (2008)

    Google Scholar 

  11. 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)

    Google Scholar 

  12. Benini, L., Glynn, P., De Micheli, G.: Event-driven power management (2001)

    Google Scholar 

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Correspondence to Anup Bhola .

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© 2017 Springer Nature Singapore Pte Ltd.

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Bhola, A., Jha, C.K. (2017). Power Analysis of a Network Using DECAP Algorithm by Varying Network Sizes and Users. In: Kaushik, S., Gupta, D., Kharb, L., Chahal, D. (eds) Information, Communication and Computing Technology. ICICCT 2017. Communications in Computer and Information Science, vol 750. Springer, Singapore. https://doi.org/10.1007/978-981-10-6544-6_7

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  • DOI: https://doi.org/10.1007/978-981-10-6544-6_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6543-9

  • Online ISBN: 978-981-10-6544-6

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