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Energy-Aware Approach for Routing Protocol by Using Centralized Control Clustering Algorithm in Wireless Sensor Networks

  • Nada Al-Humidi
  • Girish V. Chowdhary
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 810)

Abstract

Routing in wireless sensor networks (WSNs) has a primary task for data transfer from source to the sink. Due to restricted battery power of the sensor nodes, there is a necessity to take in consideration while designing a routing protocol in WSNs the power saving of sensor nodes. Several routing protocols employing hierarchical-based clustering technique have been proposed for WSNs, however most of them still have such challenges which can be represented in minimizing the energy consumption and maximizing the network lifetime, simultaneously. In this paper, an improved method EACCC is proposed by extending the centralized clustering technique in order to achieve higher efficiency for energy, longer lifespan of network and network scalability. The performance of EACCC is evaluated and justified through extensive analysis, analytical proof, comparison, and implementation. The results show that the proposed method is highly efficient and effective in term of balancing the consumption of energy and prolonging network lifetime.

Keywords

WSNs Routing protocol Centralized algorithm Network lifetime 

References

  1. 1.
    Al-Karaki, J.N., Kamal, A.E.: Routing techniques in wireless sensor networks: a survey. IEEE Wirel. Commun. 11(6), 6–28 (2004)CrossRefGoogle Scholar
  2. 2.
    Ilyas, M., Mahgoub, I.: Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems. CRC press (2004)Google Scholar
  3. 3.
    Nguyen, L.T., et al.: An energy efficient routing scheme for mobile wireless sensor networks. In: 2008 ISWCS’08. IEEE International Symposium on Wireless Communication Systems. IEEE (2008)Google Scholar
  4. 4.
    Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: 2000 Proceedings of the 33rd annual Hawaii international conference on System Sciences. IEEE (2000)Google Scholar
  5. 5.
    Lindsey, S., Raghavendra, C.S.: PEGASIS: Power-efficient gathering in sensor information systems. In: 2002 IEEE Aerospace Conference Proceedings, vol. 3. IEEE (2002)Google Scholar
  6. 6.
    Arati, M., Agrawal, D.P.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: IPDPS, vol. 1 (2001)Google Scholar
  7. 7.
    Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1(4), 660–670 (2002)CrossRefGoogle Scholar
  8. 8.
    Bakaraniya, P., Mehta, S.: K-leach: An improved leach protocol for lifetime improvement in wsn. Int. J. Eng. Trends Technol. 4(5), 1521–1526 (2013)Google Scholar
  9. 9.
    Arumugam, G.S., Ponnuchamy, T.: EE-LEACH: development of energy-efficient LEACH Protocol for data gathering in WSN. EURASIP J. Wirel. Commun. Netw. 2015(1), 1–9 (2015)CrossRefGoogle Scholar
  10. 10.
    Sindhwani, N., Vaid, R.: V LEACH: an energy efficient communication protocol for WSN. Mechanica Confab 2(2), 79–84 (2013)Google Scholar
  11. 11.
    Alnawafa, E., Marghescu, I.: MHT: Multi-hop technique for the improvement of leach protocol. In: 2016 15th RoEduNet Conference: Networking in Education and Research. IEEE (2016)Google Scholar
  12. 12.
    Alnawafa, E., Marghescu, I.: IMHT: Improved MHT-LEACH protocol for wireless sensor networks. In: 2017 8th International Conference on Information and Communication Systems (ICICS). IEEE (2017)Google Scholar
  13. 13.
    Tudose, D., Gheorghe, L., Tapus. N.: Radio transceiver consumption modeling for multi-hop wireless sensor networks. UPB Sci. Bull. Ser. C Electron. Eng. 75(1), 17–26 (2013)Google Scholar
  14. 14.
    Nikolidakis, S.A., et al.: Energy efficient routing in wireless sensor networks through balanced clustering. Algorithms 6(1), 29–42 (2013)MathSciNetCrossRefGoogle Scholar
  15. 15.
    Smaragdakis, G., Matta, I., Bestavros, A.: SEP: A stable election protocol for clustered heterogeneous wireless sensor networks. Boston University Computer Science Department (2004)‏Google Scholar
  16. 16.
    Legakis, H., Mehmet-Ali, M., Hayes, J.F.: Lifetime analysis for wireless sensor networks. In: IEEE GLOBECOM 2008 Global Telecommunications Conference (2008)Google Scholar
  17. 17.
    Gelet, G.: Performance Evaluation of Wireless Sensor Network Routing Protocols for Critical Condition Monitoring Application. M.A. Thesis. Addis Ababa University, Oct 2007Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Computational SciencesS.R.T.M UniversityNandedIndia

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