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WLAN based energy efficient smart city design

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Abstract

The rapid growth of new technologies resulted in a new city model, known as the famous “Smart City”. The main aim in this paper is to create a paradigm for building an energy efficient smart city. Wireless local area network (WLAN) controller that will be used by the city will be constructed in such a manner that when there will be no request from any node to the access point (AP), the AP will be send from active mode to sleep mode. In Qualnet7.2, with the help of three types of energy model generic, mica z and mica motes the energy consumption in three modes transmit, receive and sleep mode is analysed, where it is seen that energy consumption in sleep mode is much less than in any other modes. In this paper, we propose an algorithm where it is shown that the energy consumption in sleep mode is less than in any other modes.

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References

  • Al-Hader M, Rodzi A, Sharif AR, Ahmad N (2009) Smart city components architicture. 2009 international conference on computational intelligence. Modelling and simulation. IEEE, New York, pp 93–97

    Chapter  Google Scholar 

  • Audzevich Y, Moore A, Rice A, Sohan R, Timotheou S, Crowcroft J, Akoush S, Hopper A, Wonfor A, Wang H (2016) Energy-aware networks. In: Ahmad I, Ranka S (eds) Handbook of energy-aware and green computing-two volume set. CRC Press, 239 p

  • Birant D, Kut A (2007) St-dbscan: an algorithm for clustering spatial-temporal data. Data Knowl Eng 60(1):208–221

    Article  Google Scholar 

  • Brundu FG, Patti E, Osello A, Del Giudice M, Rapetti N, Krylovskiy A, Jahn M, Verda V, Guelpa E, Rietto L et al (2017) Iot software infrastructure for energy management and simulation in smart cities. IEEE Trans Ind Inform 13(2):832–840

    Article  Google Scholar 

  • Cali F, Conti M, Gregori E (1998) IEEE 802.11 wireless LAN: capacity analysis and protocol enhancement. In: INFOCOM’98. 17th annual joint conference of the IEEE computer and communications societies. Proceedings IEEE, vol 1. IEEE, New York, pp 142–149

  • Caragliu A, Del Bo C, Nijkamp P (2011) Smart cities in Europe. J Urban Technol 18(2):65–82

    Article  Google Scholar 

  • Cimmino A, Pecorella T, Fantacci R, Granelli F, Rahman TF, Sacchi C, Carlini C, Harsh P (2014) The role of small cell technology in future smart city applications. Trans Emerg Telecommun Technol 25(1):11–20

    Article  Google Scholar 

  • Crow BP, Widjaja I, Kim L, Sakai PT (1997) IEEE 802.11 wireless local area networks. IEEE Commun Mag 35(9):116–126

    Article  Google Scholar 

  • Demir MÖ, Kurt GK, Karaca M (2015) Application based energy consumption characterization of IEEE 802.11 n/ac access points. In: 2015 International conference on computing, networking and communications (ICNC). IEEE, New York, pp 520–524

  • Ejaz W, Naeem M, Shahid A, Anpalagan A, Jo M (2017) Efficient energy management for the internet of things in smart cities. IEEE Commun Mag 55(1):84–91

    Article  Google Scholar 

  • Eklund C, Marks RB, Stanwood KL, Wang S et al (2002) IEEE standard 802.16: a technical overview of the wirelessman air interface for broadband wireless access. IEEE Commun Mag 40(6):98–107

    Article  Google Scholar 

  • Forouzan AB (2006) Data communications & networking (SIE). Tata McGraw-Hill Education, New York

    Google Scholar 

  • Gilbert EPK, Kaliaperumal B, Rajsingh EB (2012) Research issues in wireless sensor network applications: a survey. Int J Inf Electron Eng 2(5):702

    Google Scholar 

  • He Y, Yuan R (2009) A novel scheduled power saving mechanism for 802.11 wireless LANs. IEEE Trans Mobile Comput 8(10):1368–1383

    Article  Google Scholar 

  • He Y, Yuan R, Gong W (2010) Modeling power saving protocols for multicast services in 802.11 wireless LANs. IEEE Trans Mobile Comput 9(5):657–671

    Article  Google Scholar 

  • Jardosh AP, Iannaccone G, Papagiannaki K, Vinnakota B (2007) 8th IEEE workshop on towards an energy-star WLAN infrastructure. In: Mobile computing systems and applications, 2007. HotMobile 2007. IEEE, New York, pp 85–90

  • Jardosh AP, Papagiannaki K, Belding EM, Almeroth KC, Iannaccone G, Vinnakota B (2009) Green WLANs: on-demand WLAN infrastructures. Mobile Netw Appl 14(6):798–814

    Article  Google Scholar 

  • Jolly P, Goyal A, Vijay S (2012) Energy model based performance analysis of wireless sensor networks. Int J Comput Appl 52(18)

  • Liu L, Cao X, Cheng Y, Niu Z (2014) Energy-efficient sleep scheduling for delay-constrained applications over WLANs. IEEE Trans Veh Technol 63(5):2048–2058

    Article  Google Scholar 

  • Mitton N, Papavassiliou S, Puliafito A, Trivedi KS (2012) Combining cloud and sensors in a smart city environment. EURASIP J Wirel Commun Netw 2012(1):247

    Article  Google Scholar 

  • Mohanty SP, Choppali U, Kougianos E (2016) Everything you wanted to know about smart cities: the internet of things is the backbone. IEEE Consumer Electron Mag 5(3):60–70

    Article  Google Scholar 

  • Moreno MV, Terroso-Sáenz F, González-Vidal A, Valdés-Vela M, Skarmeta AF, Zamora MA, Chang V (2017) Applicability of big data techniques to smart cities deployments. IEEE Trans Ind Inform 13(2):800–809

    Article  Google Scholar 

  • Petrolo R, Loscri V, Mitton N (2017) Towards a smart city based on cloud of things, a survey on the smart city vision and paradigms. Trans Emerg Telecommun Technol 28(1):e2931

    Article  Google Scholar 

  • Ray A, De D (2012) Energy efficient cluster head selection in wireless sensor network. In: 2012 1st international conference on recent advances in information technology (RAIT). IEEE, New York, pp 306–311

  • Srivastava S, Bisht A, Narayan N (2017) Safety and security in smart cities using artificial intelligence review. In: 7th international conference on cloud computing, data science & engineering-confluence, 2017. IEEE, New York, pp 130–133

  • Su K, Li J, Fu H (2011) Smart city and the applications. In: 2011 international conference on electronics, communications and control (ICECC). IEEE, New York, pp 1028–1031

  • Varaprasad G (2011) Lifetime enhancement routing algorithm for mobile ad hoc networks. IET Commun 5(1):119–125

    Article  Google Scholar 

  • Yomo H, Kondo Y, Miyamoto N, Tang S, Iwai M, Ito T (2012) Receiver design for realizing on-demand wifi wake-up using WLAN signals. In: 2012 IEEE gobal communications conference (GLOBECOM). IEEE, pp 5206–5211

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Correspondence to Sourav Hati.

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Maulana Abul Kalam Azad University of Technology, West Bengal, was formerly known as West Bengal University of Technology.

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Hati, S., Dey, P. & De, D. WLAN based energy efficient smart city design. Microsyst Technol 25, 1599–1612 (2019). https://doi.org/10.1007/s00542-017-3530-6

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  • DOI: https://doi.org/10.1007/s00542-017-3530-6

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