Skip to main content
SpringerLink
Log in

Performance Analysis of Biased Localization of Heterogeneous Nodes Combined with Pure LEACH Routing Protocol

  • Conference paper
  • First Online:
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 (AISI 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 533))

  • 2490 Accesses

Abstract

Energy efficiency and network lifetime are the one of the most important issues in Wireless Sensor Network (WSN). As well as, they are mandatory for low-cost solutions to various real world challenges. Sensor nodes depend on the power of its battery which has a significant effect on their performance. Clustering and localization of sensor nodes are one of the efficient techniques to increase the network lifetime. This paper discusses a new clustering protocol scheme is proposed and evaluated; the new scheme depends on hybrid nodes localization formation to improve the existing Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. The LEACH static clustering is based on the heterogeneous routing protocol. Hence, enhancing allocation improves a number of transmission data rate and node lifetime to achieve the network longevity in WSN. Results are simulated using Matlab simulation tools; the proposed scheme shows 15 % improvement in WSN total network lifetime and 15 %–49 % enhancement in the total number of packets transmitted.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zhu, Y., Hua, K.: The development of mobile wireless sensor networks: a survey. In: Technological Breakthroughs in Modern Wireless Sensor Applications, p. 257, 31 March 2015

    Google Scholar 

  2. Kong, L., Pan, J.-S., Tsai, P.-W., Vaclav, S., Ho, J.-H.: A balanced power consumption algorithm based on enhanced parallel cat swarm optimization for wireless sensor network. Int. J. Distrib. Sens. Netw. 2015, 10 (2015)

    Article  Google Scholar 

  3. Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, IEEE, p. 10, 4 January 2000

    Google Scholar 

  4. Chang, F.-C., Huang, H.-C.: A survey on intelligent sensor network and its applications. J. Netw. Intell. 1(1), 1–15 (2016)

    Google Scholar 

  5. Bekmezci, I., Alagoz, F.: Energy efficient, delay sensitive, fault tolerant wireless sensor network for military monitoring. Int. J. Distrib. Sens. Netw. 5, 729–747 (2009). doi:10.1080/15501320902768625

    Article  Google Scholar 

  6. Kafi, M.A., Challal, Y., Djenouri, D., Bouabdallah, A., Khelladi, L., Badache, N.: A study of wireless sensor network architectures and projects for traffic light monitoring. Procedia Comput. Sci. 10, 543–552 (2012). doi:10.1016/j.procs.2012.06.069

    Article  Google Scholar 

  7. Vairamani, K., Mathivanan, N., Venkatesh, K.A., Kumar, U.D.: Environmental parameter monitoring using wireless sensor network. Instrum. Exp. Tech. 56, 468–471 (2013). doi:10.1134/S0020441213040118

    Article  Google Scholar 

  8. Qu, Y., Zhu, Y., Han, W., Wang, J., Ma, M.: Crop leaf area index observations with a wireless sensor network and its potential for validating remote sensing products. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 7(2), 431–444 (2014). Chang, F.C., Huang, H.C., 12

    Article  Google Scholar 

  9. Marino, P., Fontan, F., Dominguez, M., Otero, S.: An experimental ad-hoc WSN for the instrumentation of biological models. IEEE Trans. Instrum. Meas. 59(11), 2936–2948 (2011)

    Article  Google Scholar 

  10. Farah, C., Schwaner, F., Abedi, A., Worboys, M.: Distributed homology algorithm to detect topological events via wireless sensor networks. IET Wireless Sens. Syst. 1(3), 151–160 (2011)

    Article  Google Scholar 

  11. Lei, Z., Jianhua, L.: Distributed coverage of forest fire border based on WSN. In: 2010 2nd International Conference on Industrial and Information Systems (IIS), vol. 1, pp. 341–344, July 2010

    Google Scholar 

  12. Lara, R., Benitez, D., Caamano, A., Zennaro, M., Rojo-Alvarez, J.: On real-time performance evaluation of volcano monitoring systems with wireless sensor networks. IEEE Sens. J. 15(6), 1–9 (2015)

    Article  Google Scholar 

  13. Tan, R., Xing, G., Chen, J., Song, W.-Z., Huang, R.: Quality-driven volcanic earthquake detection using wireless sensor networks. In: 2010 IEEE 31st Real-Time Systems Symposium (RTSS), pp. 271–280, November 2010

    Google Scholar 

  14. Jan, M., Habib, Q., Irfan, M., Murad, M., Yahya, K., Hassan, G.: Carbon monoxide detection and autonomous countermeasure system for a steel mill using wireless sensor and actuator network. In: 2010 6th International Conference on Emerging Technologies (ICET), pp. 405–409, October 2010

    Google Scholar 

  15. Iqbal, A., Akbar, M., Javaid, N., Bouk, S.H., Ilahi, M., Khan, R.D.: Advanced LEACH: a static clustering-based heteroneous routing protocol for WSNs: arXiv preprint, arXiv:1306.1146, 5 June 2013

  16. Younis, O., Fahmy, S.: HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans. Mob. Comput. 3(4), 366–379 (2004)

    Article  Google Scholar 

  17. Kumari, R.S., Chithra, A., Devi, M.B.: Efficient 2-level energy heterogeneity clustering protocols for wireless sensor network. Indian J. Sci. Technol. 9(8) (2016)

    Google Scholar 

  18. Shaji, M.: Distributed energy efficient heterogeneous clustering in wireless sensor network. In: 2015 Fifth International Conference on Advances in Computing and Communications (ICACC), pp. 130–134. IEEE, 2 September 2015

    Google Scholar 

  19. Hussain, S., Matin, A.W.: Energy efficient hierarchical cluster-based routing for wireless sensor networks. In: Jodrey School of Computer Science Acadia University Wolfville, Technical report, pp. 1–33, Nova Scotia, Canada (2005)

    Google Scholar 

  20. Baranidharan, B., Shanthi, B.: A survey on energy efficient protocols for wireless sensor networks. Int. J. Comput. Appl. 11(10), 35–40 (2010)

    Google Scholar 

  21. Al Ameen, M., Islam, S.M., Kyungsup, K.: Energy saving mechanisms for MAC protocols in wireless sensor networks. Int. J. Distrib. Sens. Netw. 2010 (2010)

    Google Scholar 

  22. Liu, M., Cao, J., Chen, G., Wang, X.: An energy-aware routing protocol in wireless sensor networks. Sensors 9(1), 445–462 (2009)

    Article  Google Scholar 

  23. Manjeshwar, A., Agrawal, D.P.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: Null, p. 30189a. IEEE, 23 April 2001

    Google Scholar 

  24. Sankarasubramaniam, Y., Akyildiz, I.E., McLaughlin, S.W.: Energy efficiency based packet size optimization in wireless sensor networks. In: Proceedings of the First IEEE, 2003 IEEE International Workshop on Sensor Network Protocols and Applications, pp. 1–8. IEEE (2003)

    Google Scholar 

  25. Abdellah, E., Benalla, S.A.I.D., Hssane, A.B., Hasnaoui, M.L.: Advanced low energy adaptive clustering hierarchy. (IJCSE) Int. J. Comput. Sci. Eng. 2(07), 2491–2497 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Computing and Information Technology, Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt

    Ahmed Lotfy & M. B. Abdelhalim

  2. Benha Faculty of Engineering, Benha University, Cairo, Egypt

    Amr A. Awamry

Authors
  1. Ahmed Lotfy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Amr A. Awamry
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. B. Abdelhalim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ahmed Lotfy .

Editor information

Editors and Affiliations

  1. Faculty of Computers & Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Dubai International Academic City, The British University, Dubai, United Arab Emirates

    Khaled Shaalan

  3. CS Dept. Faculty of Computers and Inform, Suez Canal University CS Dept. Faculty of Computers and Inform, Ismailia, Egypt

    Tarek Gaber

  4. Ahmed Orabi Square , Menouf, Egypt

    Ahmad Taher Azar

  5. Faculty of Computer & Information Scienc, Ain Shams University Faculty of Computer & Information Scienc, Cairo, Egypt

    M. F. Tolba

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Lotfy, A., Awamry, A.A., Abdelhalim, M.B. (2017). Performance Analysis of Biased Localization of Heterogeneous Nodes Combined with Pure LEACH Routing Protocol. In: Hassanien, A., Shaalan, K., Gaber, T., Azar, A., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016. AISI 2016. Advances in Intelligent Systems and Computing, vol 533. Springer, Cham. https://doi.org/10.1007/978-3-319-48308-5_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-48308-5_65

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48307-8

  • Online ISBN: 978-3-319-48308-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation