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Cluster Based Routing Scheme for Heterogeneous Nodes in WSN–A Genetic Approach

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International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 (ICICI 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 26))

Abstract

Wireless Sensor Network (WSN) is a propelled key region of research which helps in distinguishing numerous unmanned applications in woods based dangerous zones. The wireless sensor node should function for a long interval by utilizing the available energy resources and should full fill reliability by means of data transmission, even any one of the node fails. Hence in this paper we proposed a new hybrid approach in routing protocol by combining Particle Swarm Optimization (PSO) routing protocol with clustering algorithm. Here the approach focuses fully on Ant Colony Optimization & Bee Colony Optimization (ACO & BCO) on PSO routing protocol and K-Means clustering algorithm for illustrating the clusters of node or grouping the nodes. The proposed approach is tested for its proficiency, performance, energy consumption level and reliability using OMNETPP. The experimental results are shown in the form of graph.

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References

  1. Lakshmanan, L., Tomar, D.C.: Optimizing localization route using particle swarm–a genetic approach. Am. J. Appl. Sci. 11(3), 520–527 (2014)

    Article  Google Scholar 

  2. Lee, H.-C.: Towards a general wireless sensor network platform for outdoor environment monitoring. IEEE Sens. J. 15, 3751–3758 (2012)

    Google Scholar 

  3. Velavarthy, N., Sindhura, S.: Evaluation of routing protocols used in wireless sensor networks monitoring temperature in composting heaps. In: Annual IEEE India Conference (IDCON2011), December 16, pp. 1–4 (2011)

    Google Scholar 

  4. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: 1995 IEEE International Conference on Neural Networks (ICNN 95), November 27–December 01, pp. 1942–1948. IEEE (1995)

    Google Scholar 

  5. Cai, Y.G., Wei, M.: Self adaptive chaos particle swarm optimization for allied vehicle routing problem. J. Syst. Eng. 32(10), 2208–2214 (2012)

    Google Scholar 

  6. Mascareñas, D., Flynn, E., Farrar, C., Park, G., Todd, M.: A mobile host approach for wireless powering and interrogation of structural health monitoring sensor networks. IEEE Sens. J. 9, 1719–1726 (2009)

    Article  Google Scholar 

  7. Santos, I.M., Dota, M.A., Cugnasca, C.E.: Dynamic definition of the sampling rate of data in Wireless Sensor network with adaptive automata. IEEE Latin Am. Trans. 9, 963–968 (2011)

    Article  Google Scholar 

  8. Derr, K., Manic, M.: Wireless sensor network configuration–part II: adaptive coverage for decentralized algorithms. IEEE Trans. Ind. Inform. 9, 1717–1727 (2013)

    Article  Google Scholar 

  9. Campolo, C., Iera, A., Molinaro, A., Paratore, S.Y., Ruggeri, G.: SMaRTCaR: an integrated smart phone based platform to support traffic management applications. In: 2012 First International Workshop on Vehicular Traffic Management for Smart Cities (VTM), pp. 1–6 (2012)

    Google Scholar 

  10. Majumder, R., Bag, G., Kim, K.H.: Power sharing and control in distributed generation with wireless sensor networks. IEEE Trans. Smart Grid 3(2), 618–634 (2012)

    Article  Google Scholar 

  11. Ouacha, A., El Abbadi, J., Habbani, A., Bouamoud, B.: Proactive routing based distributed energy consumption. In: 2013 8th International Conference Intelligent Systems: Theories and Applications (SITA), pp. 1–5 (2013)

    Google Scholar 

  12. Masonta, M., Haddad, Y., De Nardis, L., Kliks, A., Holland, O.: Energy efficiency in future wireless networks: cognitive radio standardization requirements. In: 2012 IEEE 17th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), pp. 31–35 (2012)

    Google Scholar 

  13. Accettura N., Palattella M.R., Dohler M., Grieco L.A., Boggia, G.: Standardized power-efficient & internet enabled communication stack for capillary M2M networks. In: 2012 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), pp. 226–231

    Google Scholar 

  14. Kan, Y., Gidlund, M., Akerberg, J., Bjorkman, M.: Reliable RSS-based routing protocol for industrial wireless sensor networks. In: IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, pp. 3231–3237 (2012)

    Google Scholar 

  15. Italian Cultural Institute. www.iicbelgrado.esteri.it

  16. Ancillotti, E., Bruno, R., Conti, M.: On the interplay between RPL and address auto configuration protocols in LLNs. In: 9th International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1275–1282 (2013)

    Google Scholar 

  17. Hashizume, A., Mizuno T., Mineno, H.: Energy monitoring system using sensor networks in residential houses. In: 26th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 595–600 (2012)

    Google Scholar 

  18. Reinhardt, A., Morar, O., Santini, S., Zöller, S., Steinmetz, R.: CBFR: bloom filter routing with gradual forgetting for tree-structured wireless sensor networks with mobile nodes. In: IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 1–9 (2012)

    Google Scholar 

  19. Cherrier S., Ghamri-Doudane, Y.M., Lohier, S., Roussel G., Services collaboration in wireless sensor and actuator networks: orchestration versus choreography. In: IEEE Symposium on Computers and Communications (ISCC), pp. 000411–000418 (2012)

    Google Scholar 

  20. Jesudoss, A., Subramaniam, N.P.: EPBAS: securing cloud-based healthcare ınformation systems using enhanced password-based authentication scheme. Asian J. Inf. Technol. 15(14), 2457–2463 (2016)

    Google Scholar 

  21. Jose, T.K., Ulagamuthalvi, V.: Enhancement of distributed replica file system performance using probabilistic file share system. J. Theor. Appl. Inf. Technol. (2015)

    Google Scholar 

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Acknowledgement

The authors would like to acknowledge that this work has been carried out at DST-FIST sponsored Wireless Sensor Network Platform Lab (order Sanction No.: SR/FST/ETI-413/2018 Dated: 8th February 2018), Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology.

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Authors and Affiliations

  1. Sathyabama Institute of Science and Technology, Chennai, India

    L. Lakshmanan, A. Jesudoss & V. Ulagamuthalvi

Authors
  1. L. Lakshmanan
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  2. A. Jesudoss
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  3. V. Ulagamuthalvi
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Corresponding author

Correspondence to A. Jesudoss .

Editor information

Editors and Affiliations

  1. Department of ECE, Karunya University, Coimbatore, India

    Jude Hemanth

  2. Department of Electrical and Computer Engineering, Ryerson Communications Lab, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. Faculty of Engineering, Department of Telecommunication Engineering, Czech Technical University, Prague, Czech Republic

    Pavel Lafata

  4. School of Science, Joondalup Campus, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

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Lakshmanan, L., Jesudoss, A., Ulagamuthalvi, V. (2019). Cluster Based Routing Scheme for Heterogeneous Nodes in WSN–A Genetic Approach. In: Hemanth, J., Fernando, X., Lafata, P., Baig, Z. (eds) International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018. ICICI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-030-03146-6_117

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