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Energy Efficient Distributed Topology Control Technique with Edge Pruning

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Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 327))

Abstract

Topology control mechanism plays a vital role while designing wireless sensor network and mobile ad-hoc control. Topology control mechanism should create topology with lower transmission power, sparser connectivity, with smaller node degree. Proposed paper presents analysis of different topology control mechanisms at present. Energy conservation is one of the main aim behind the topology control .This paper presents distributed topology control mechanism which is energy efficient and provides increases network lifetime. Proposed topology control algorithm gives better results in energy conservation as compared to existing algorithm.

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References

  1. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–110 (2002)

    Article  Google Scholar 

  2. Willig, A.: Recent and emerging topics in wireless industrial communications: A selection. IEEE Trans. Ind. Inform. 4(2), 102–122 (2008)

    Article  Google Scholar 

  3. Yoo, S.-E., et al.: Guaranteeing real-time services for industrial wireless sensor networks with IEEE 802.15.4. IEEE Trans. Ind. Electron. 57(11), 3868–3876 (2010)

    Article  MathSciNet  Google Scholar 

  4. Gungor, V.C., Lambert, F.C.: A survey on communication networks for electric system automation. Comput. Networks 50(7), 877–897 (2006)

    Article  Google Scholar 

  5. Gungor, V.C., Lu, B., Hancke, G.P.: Opportunities and challenges of wireless sensor networks in smart grid. IEEE Trans. Ind. Electron. 57(10), 3557–3564 (2010)

    Article  Google Scholar 

  6. Akyildiz, I.F., Melodia, T., Chowdhury, K.R.: A survey on wireless multimedia sensor networks. Comput. Networks 51(4), 921–960 (2007)

    Article  Google Scholar 

  7. Kouba, A., Severino, R., Alves, M., Tovar, E.: Improving quality-of service in wireless sensor networks by mitigating hidden-node collisions. IEEE Trans. Ind. Inform. 5(3), 299–313 (2009)

    Article  Google Scholar 

  8. Adee, S.: IEEE Spectrum (2010), http://spectrum.ieee.org/semiconductors/devices/wireless-sensors-thatlive-forever

  9. Lobello, L., Toscano, E.: An adaptive approach to topology management in large and dense real-time wireless sensor networks. IEEE Trans. Ind. Inform. 5(3), 314–324 (2009)

    Article  Google Scholar 

  10. Santi, P.: Topology control in wireless ad hoc and sensor networks. ACM Comput. Surveys 37(2), 164–194 (2005)

    Article  Google Scholar 

  11. Li, N., Hou, J.C., Sha, L.: Design and analysis of an MST-based topology control algorithm. IEEE Trans. Wireless Commun. 4(3), 1195–1206 (2005)

    Article  Google Scholar 

  12. Li, L., Halpern, J.Y., Bahl, P., Wang, Y.-M., Wattenhofer, R.: A cone-based distributed topology-control algorithm for wireless multi-hop networks. IEEE/ACM Trans. Networking 13(1), 147–159 (2005)

    Article  Google Scholar 

  13. Blough, D.M., Leoncini, M., Resta, G., Santi, P.: The K-Neigh protocol for symmetric topology control in ad hoc networks. In: Proc. Int. Symp. Mobile Ad Hoc Networking and Computing (MobiHoc), pp. 141–152 (2003)

    Google Scholar 

  14. Santi, P., Blough, D.M.: The critical transmitting range for connectivity in sparse wireless ad hoc networks. IEEE Trans. Mobile Computing 2(1), 25–39 (2003)

    Article  Google Scholar 

  15. Kwon, T.J., Gerla, M.: Clustering with power control. In: Proc. IEEE Military Commun. Conf., MILCOM, vol. 2, pp. 1424–1428 (1999)

    Google Scholar 

  16. Kawadia, V., Kumar, P.R.: Principles and protocols for power control in wireless ad hoc networks. IEEE J. Sel. Areas Commun. 23(1), 76–88 (2005)

    Article  Google Scholar 

  17. Cerpa, A., Estrin, D.: ASCENT: Adaptive self-configuring sensor net-works topologies. IEEE Trans. Mobile Comput. 3(3), 272–285 (2004)

    Article  Google Scholar 

  18. Topology control algorithms for wireless sensor networks: A critical survey Alexis apadimitriou and Dimitrios Katsaros and Yannis Manolopoulos

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information Technology, GHRCEM, Pune, India

    Mohasin Tamboli

  2. Department of Computer Engineering, AISSMS IOIT, Pune, India

    Suresh Limkar

  3. Department of Computer Engineering, JSPM, Hadapsar, Pune, India

    Maroti Kalbande

Authors
  1. Mohasin Tamboli
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  2. Suresh Limkar
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  3. Maroti Kalbande
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Corresponding author

Correspondence to Mohasin Tamboli .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Bhubaneswar Engineering College, Bhubaneswar, Odisha, India

    Bhabendra Narayan Biswal

  3. University of Hyderabad, Hyderabad, Andhra Pradesh, India

    Siba K. Udgata

  4. Department of Computer Science and Engineering, University of Kalyanai, Faculty of Engg., Tech. & Management, Kalyanai, West Bengal, India

    J.K. Mandal

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© 2015 Springer International Publishing Switzerland

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Tamboli, M., Limkar, S., Kalbande, M. (2015). Energy Efficient Distributed Topology Control Technique with Edge Pruning. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_59

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  • DOI: https://doi.org/10.1007/978-3-319-11933-5_59

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11932-8

  • Online ISBN: 978-3-319-11933-5

  • eBook Packages: EngineeringEngineering (R0)

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