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Received Power Analysis of Cooperative WSN Deployed in Adjustible Antenna Height Environment

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Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 11820))

Abstract

The work in this paper aims at showing the effectiveness of cooperative communication considering a Wireless Sensor Network (WSN) scenario deployed in a snowy environment. Sensor nodes with adjustable antenna heights are assumed so that even when the ground is covered with snow, these antenna nodes are able to transmit data. Received power of the deployed cooperative network with adjustable antenna heights has been evaluated and further using it as a crucial parameter a comparative analysis of cooperative and non-cooperative scenario is carried out. An Amplify and Forward cooperative protocol has been considered for modeling the network and deriving the expressions for energy and power. Further, various path loss models have been considered to compute the pathloss and evaluate the performance of network. Simulation and analytical results reveal that increasing the antenna height reduces the received power and cooperative scenario outperforms the non-cooperative scenario.

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References

  1. Aseri, T.C., Kumar, D., Patel, R.B.: EEHC: energy efficient heterogeneous clustered scheme for wireless sensor networks. Comput. Commun. 32(4), 662–667 (2009)

    Article  Google Scholar 

  2. Wang, J., Ghosh, R.K., Das, S.K.: A survey on sensor localization. J. Control Theory Appl. 8(1), 2–11 (2010)

    Article  MATH  Google Scholar 

  3. Xiao, X., Zhang, R.: Study of immune-based intrusion detection technology in wireless sensor networks. Arab. J. Sci. Eng. 42(8), 3159–3174 (2017)

    Article  MathSciNet  Google Scholar 

  4. Cheffena, M., Mohamed, M.: Empirical path loss models for wireless sensor network deployment in snowy environments. IEEE Antennas Wirel. Propag. Lett. 16, 2877–2880 (2017)

    Google Scholar 

  5. Malhotra, J., Rani, S., Talwar, R.: Energy efficient chain based cooperative routing protocol for WSN. Appl. Soft Comput. 35, 386–397 (2015)

    Article  Google Scholar 

  6. Butcharoen, S., Pirak, C.: An adaptive cooperative protocol for multi-hop wireless networks. In: 2015 17th International Conference on Advanced Communication Technology (ICACT), Seoul, pp. 620–635 (2015)

    Google Scholar 

  7. Garcia, M., et al.: Saving energy and improving communications using cooperative group-based wireless sensor networks. Telecommun. Syst. 52(4), 2489–2502 (2013)

    Article  Google Scholar 

  8. Hedley, M., Sathyan, T.: Evaluation of algorithms for cooperative localization in wireless sensor networks. In: 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, Tokyo, pp. 1898–1902 (2009)

    Google Scholar 

  9. Gupta, S.H., Singh, R.K., Sharan, S.N.: Performance analysis of coded cooperation and space time cooperation with multiple relays in Nakagami-m fading. In: Gavrilova, M.L., Tan, C.J.K., Saeed, K., Chaki, N., Shaikh, S.H. (eds.) Transactions on Computational Science XXV. LNCS, vol. 9030, pp. 172–185. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-47074-9_10

    Chapter  Google Scholar 

  10. Zarifi, K., Zaidi, S., Affes, S., Ghrayeb, A.: A distributed amplify-and-forward beamforming technique in wireless sensor networks. IEEE Trans. Signal Process. 59(8), 3657–3674 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  11. Matyjas, J.D., Mo, Z., Su, W.: Amplify and forward relaying protocol design with optimum power and time allocation. In: MILCOM 2016 - 2016 IEEE Military Communications Conference, Baltimore, MD, pp. 412–417 (2016)

    Google Scholar 

  12. Ouyang, S., Xiao, H.: Power allocation for a hybrid decode–amplify–forward cooperative communication system with two source–destination Pairs under outage probability constraint. IEEE Syst. J. 9(3), 797–804 (2015)

    Article  Google Scholar 

  13. Kurt, S., Tavli, B.: Path-loss modeling for wireless sensor networks: a review of models and comparative evaluations. IEEE Antennas Propag. Mag. 59(1), 18–37 (2017)

    Article  Google Scholar 

  14. Aldosary, A., Alsayyari, A., Kostanic, I., Otero, C.E.: An empirical path loss model for wireless sensor network deployment in a dense tree environment. In: 2017 IEEE Sensors Applications Symposium (SAS), Glassboro, NJ, pp. 1–6 (2017)

    Google Scholar 

  15. Kennedy, S., Stewart, J., Stewart, R.: Internet of things—propagation modelling for precision agriculture applications. In: 2017 Wireless Telecommunications Symposium (WTS), Chicago, IL, pp. 1–8 (2017)

    Google Scholar 

  16. Comeau, F., Phillips, W.J., Robertson, W., Sivakumar, S.: A clustered wireless sensor network model based on log-distance path loss. In: 6th Annual Communication Networks and Services Research Conference Halifax, pp. 366–372 (2008)

    Google Scholar 

  17. Iqbal, Z., Kim, K., Lee, H.N.: A cooperative wireless sensor network for indoor industrial monitoring. IEEE Trans. Ind. Inform. 13(2), 482–491 (2017)

    Article  Google Scholar 

  18. Bai, F., Bharati, S., Thanayankizil, L.V., Zhuang, W.: Link-layer cooperation based on distributed TDMA MAC for vehicular networks. IEEE Trans. Veh. Technol. 66(7), 6415–6427 (2017)

    Article  Google Scholar 

  19. Devarajan, N., Gupta, S.H.: Implementation and analysis of different path loss models for cooperative communication in a wireless sensor network. In: Tiwari, S., Trivedi, M.C., Mishra, K.K., Misra, A.K., Kumar, K.K. (eds.) Smart Innovations in Communication and Computational Sciences. AISC, vol. 851, pp. 227–236. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-2414-7_22

    Chapter  Google Scholar 

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Correspondence to Sindhu Hak Gupta .

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Gupta, S.H., Devarajan, N. (2019). Received Power Analysis of Cooperative WSN Deployed in Adjustible Antenna Height Environment. In: Gavrilova, M., Tan, C. (eds) Transactions on Computational Science XXXIV. Lecture Notes in Computer Science(), vol 11820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59958-7_6

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  • DOI: https://doi.org/10.1007/978-3-662-59958-7_6

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