CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Preventing Direct Communication between a Sensor and Sink Node with the Help of Hybrid Network Topology for Energy Conservation in Wireless Sensor Network

by Srishti Singal, Naveen Sharma
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 16
Year of Publication: 2012
Authors: Srishti Singal, Naveen Sharma
10.5120/9363-2586

Srishti Singal, Naveen Sharma . Preventing Direct Communication between a Sensor and Sink Node with the Help of Hybrid Network Topology for Energy Conservation in Wireless Sensor Network. International Journal of Computer Applications. 58, 16 ( November 2012), 1-8. DOI=10.5120/9363-2586

@article{ 10.5120/9363-2586,
author = { Srishti Singal, Naveen Sharma },
title = { Preventing Direct Communication between a Sensor and Sink Node with the Help of Hybrid Network Topology for Energy Conservation in Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 16 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number16/9363-2586/ },
doi = { 10.5120/9363-2586 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:02:39.001977+05:30
%A Srishti Singal
%A Naveen Sharma
%T Preventing Direct Communication between a Sensor and Sink Node with the Help of Hybrid Network Topology for Energy Conservation in Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 16
%P 1-8
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless sensor network is a large number of small battery powered sensors, where the failures of sensor nodes and the loss of connectivity are common phenomena. Therefore, energy consumption is an important issue to achieve a longer network lifetime. Several clustering protocols have been aimed to provide balancing of the residual energy particularly between the clusterheads and minimizing the number of clusterheads. This paper presents a novel clustering algorithm named EDED (Enhanced distributed, energy-efficient, and dual homed clustering) which provides robustness, a distributed cluster formation and reduces the number of clusters (clusterhead) in the WSN. Simulation results confirm that EDED is effective in prolonging the network lifetime and it can further efficiently relay the cluster data.

References
  1. J. N. Al-Karaki and A. E. Kamal, Routing techniques in wireless sensor networks: a survey, In IEEE Wireless Communications, Volume 11, pp. 6-28, 2004.
  2. I. Demirkol, C. Ersoy, and F. Alagoz, MAC Protocols for Wireless Sensor Networks: A Survey, IEEE Communication Magazine, vol. 44, Issue 4, pp. 115-121, 2006.
  3. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energyefficient communication protocol for wireless microsensor networks," in Proc. of the 33rd Annual Hawaii International Conference on System Sciences (HICSS'00), Hawaii, USA, Jan. 2000, pp. 3005–3014.
  4. O. Younis and S. Fahmy, "Heed: a hybrid, energy-efficient, distributed clustering approach for ad-hoc sensor networks," IEEE Transactions on Mobile Computing, vol. 3(4), pp. 366–379, Oct- Dec. 2004.
  5. M. H. Tolou and J. Chitizadeh, "Lifetime prolonging of wireless sensor networks via a recursive clustering algorithm," in Proc. Of the third IEEE International Conference in Central Asia on internet the Next generation of mobile,wireless and optical communications networks (IEEE/IFIP ICI'07 ), Tashkent, Sep. 2007, pp. 1–6.
  6. M. Ye, C. Li, G. Chen, and J. Wu, "Eecs: An energy efficient clustering scheme in wireless sensor networks," in Proc. of the 24th IEEE International Performance, Computing, and Communications Conference (IPCCC'05), Phoenix, Arizona, USA, Apr. 2005, pp. 535–540.
  7. J. Kamimura, N. Wakamiya, and M. Murata, "Distributed clustering method for energy -efficient data gathering in sensor networks," International Journal on Wireless and Mobile Computing, vol. 1, no. 2, pp. 113–120, 2006.
  8. J. Yu, W. Liu, J. Song, and B. Cao, "Eemr: An energy-efficient multi-hop routing protocol for wireless sensor networks," in Proc. Of the International Conference on Computer Systems and Application (IEEE/ACS AICCSA'08), Doha, Qatar, Mar. 2008, pp. 291–298.
  9. Md. Mamun-or-Rashid, M. Mahbub Alam and C. Seon Hong, "Energy Conserving Passive Clustering for Efficient Routing in Wireless Sensor Network,"
  10. W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks," IEEE Transactions on Wireless Communications, vol. 1, no. 4, 2002.
  11. K. Shin, A. Abraham and S. Yong Han "Self Organizing Sensor Networks Using Intelligent Clustering," School of Computer Science and Engineering, Chung-Ang University 221, Heukseok-dong, Korea.
  12. Mohammad M. Hasan and Jason P. Jue, "Survivable Self-Organization for Prolonged Lifetime in Wireless Sensor Networks," International Journal of Distributed Sensor Networks, Volume 2011, pp. 1-11, 2011.
  13. D. Curren, "A survey of simulation in sensor networks," 2006, http://www. cs. binghamton. edu/?kang/teaching/cs580s/.
  14. G. Chen, J. Branch, M. Pflug, L. Zhu, and B. Szymanski, "SENSE: a wireless sensor network simulator," in Advances in Pervasive Computing and Networking, chapter 13, Kluwer Academic, Boston,Mass, USA, 2004.
  15. O. Younis, M. Krunz, and S. Ramasubramanian, "Node clustering in wireless sensor networks: recent developments and deployment challenges," IEEE Network, vol. 20, no. 3, pp. 20–25, 2006.
  16. Q. Wang, H. Hassanein, and G. Takahara, "Stochastic modelling of distributed, dynamic, randomized clustering protocols for wireless sensor networks," in Proceedings of the International Conference on Parallel Processing Workshops (ICPP '04), pp. 456–463, August 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Clustering algorithms Cluster head Energy consumption CH selection energy efficiency sensor nodes and Wireless sensor networks

Powered by PhDFocusTM