DOI QR코드

DOI QR Code

Dual-hop Routing Protocol for Improvement of Energy Consumption in Layered WSN Sensor Field

  • Song, Young-Il (R&D Division, AIRCODE) ;
  • LEE, WooSuk (Department of Plasma Bioscience and Display, KwangWoon University Graduate School) ;
  • Kwon, Oh Seok (Department of Plasma Bioscience and Display, KwangWoon University Graduate School) ;
  • Jung, KyeDong (Ingenium college of liberal arts, KwangWoon University) ;
  • Lee, Jong-Yong (Ingenium college of liberal arts, KwangWoon University)
  • Received : 2016.04.14
  • Accepted : 2016.05.20
  • Published : 2016.06.30

Abstract

This paper proposes to increase the node energy efficiency, which rapidly drops during the transmission of L-TEEN (Layered Threshold sensitive Energy Efficient sensor Network protocol), using the method of DL-TEEN (Dual-hop Layered TEEN). By introducing dual-hop method in the data transmission, the proposed single-hop method for short-range transmission and multi-hop transmission method between the cluster heads for remote transmission was introduce. By introducing a partial multi-hop method in the data transmission, a single-hop method for short range transmission method between the cluster heads for remote transmission was introduces. In the proposed DL-TEEN, the energy consumption of cluster head for remote transmission reduces and increases the energy efficiency of sensor node by reducing the transmission distance and simplifying the transmission routine for short-range transmission. As compared the general L-TEEN, it was adapted to a wider sensor field.

Keywords

References

  1. S. Mahfuz and F. Yesmin, An Approach To Wireless Nano Sensing Network Routing Protocol Based On Energy And Lifetime, INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 3, ISSUE 2 FEBRUARY 2014 (2014), 127-130.
  2. J. Al-Karaki and A. Kamal, Routing techniques in wireless sensor networks: a survey, IEEE Wireless Communications, (2004), 6-28.
  3. S. Cho, B. Shrestha, S. Shrestha, J. Y. Lee, and S. J. Hong, Energy Efficient Routing in Wireless Sensor Networks, International Journal of Advanced Smart Convergence 3(2) (2014) 1-5.
  4. V. Katiyar and N. Chand and G. C. Gautam and A. Kumar Improvement in LEACH Protocol for Large-scale Wireless Sensor Networks, PROCEEDINGS OF ICETECT 2011 (2011), 1070-1075.
  5. N. Sindhwani and R. Vaid V LEACH: AN ENERGY EFFICIENT COMMUNICATION PROTOCOL FOR WSN, Mechanica Confab, February-March 2013 (2013), 79-84.
  6. J.Y. Lee and K.D. Jung and B.Shrestha and J.S. Lee Energy Efficiency Improvement of the of a Cluster Head Selection for Wireless Sensor Networks, International Journal of Smart Home, (2014), .9-18.
  7. W.B. Heinzelman and A. Chandrakasan and H. Balakrishnan, Energy-Efficient Communication Protocol for Wireless Microsensor Networks, Proceedings of the 33rd Hawaii International Conference on System Sciences, (2000).
  8. Q. Liao and H. Zhu An Energy Balanced Clustering Algorithm Based on LEACH Protocol, Proceedings of the 2nd International Conference On Systems Engineering and Modeling (2013), 72-77.
  9. C.R.Lin, M.Gerla, Adaptive Clustering for Mobile Wireless Networks, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, (15, 7), SEPTEMBER 1997, (1997), 1265-1275 https://doi.org/10.1109/49.622910
  10. W.B. Heinzelman, Application-Specific Protocol Architectures for Wireless Networks, A Doctor's thesis (2000), 57-58.
  11. C.Weng, C.Chen, C.Ku, A Minimum Transmission Energy Consumption Routing Protocol for User-Centric Wireless Networks, SI International 2011 (2011), 1143-1148.
  12. Y.I.Song, J.S.Lee, K.D.Jung And J.Y.Lee, Energy efficiency Hierarchical Multi-hop Routing protocol for Wireless Sensor Network, Advanced and Applied Convergence & Advanced culture Technology (2014), 148.
  13. S.K.Singh, M.P.Singh, D.K.Singh, Energy Efficient Homogenous Clustering Algorithm for Wireless Sensor Networks, International Journal of Wireless & Mobile Networks ( IJWMN ), August 2010, (2010), 49-61 https://doi.org/10.5121/ijwmn.2010.2304
  14. R. Rajagopalan, P.K. Varshney, Data aggregation techniques in sensor networks: A survey, (2006)