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Reseach Article

Stabilization and Clustering Nodal Mechanisms in the Wireless Sensing Network

by Deepti Narang, Vijay Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 2
Year of Publication: 2015
Authors: Deepti Narang, Vijay Kumar
10.5120/21510-4471

Deepti Narang, Vijay Kumar . Stabilization and Clustering Nodal Mechanisms in the Wireless Sensing Network. International Journal of Computer Applications. 121, 2 ( July 2015), 6-12. DOI=10.5120/21510-4471

@article{ 10.5120/21510-4471,
author = { Deepti Narang, Vijay Kumar },
title = { Stabilization and Clustering Nodal Mechanisms in the Wireless Sensing Network },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 2 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number2/21510-4471/ },
doi = { 10.5120/21510-4471 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:23.324645+05:30
%A Deepti Narang
%A Vijay Kumar
%T Stabilization and Clustering Nodal Mechanisms in the Wireless Sensing Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 2
%P 6-12
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the clustering mechanism implemented across the sensing nodes of Wireless Networks. The paper discusses the nodal architecture of sensing network and the issues which raise the instabilities in Network processes during its implementation in practical environment. Also the standard routing protocols are also described and evaluated for the node lifetime span. Efficient clustering mechanisms are essential for ensuring network's maximum life and uninterrupted service delivery. The routing protocols implemented are: Low Energy Adaptive Clustering Hierarchy, Stable Election Protocol, and Deterministic Energy-efficient Clustering. These models are simulated with standard parameters that provide the practical exposure of Wireless network to the system. The results are stated for each model respectively. The key solutions promised in each protocol are individually considered besides exploring the literature, for making network more stable and energy efficient.

References
  1. Giuseppe Anastasi, Marco Conti, Mario Di Francesco, Andrea Passarella, "Energy conservation in wireless sensor networks: A survey", Elsevier, Volume 7, Issue 3, Pages 537–568, May 2009.
  2. Sasikumar M, Dr. R. Anitha, "Performance Evaluation of Heterogeneous-HEED Protocol for Wireless Sensor Networks", International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 2, February 2014.
  3. Md Arif Ali, Abha Kiran Rajpoot, "Development of energy efficient routing protocol using Hop PEGASIS in Wireless Sensor Networks", International Journal of Computer Science & Engineering Technology (IJCSET), Vol. 5, No. 02, Feb 2014.
  4. Dr. Neeraj Bhargava, Dr. Ritu Bhargava, Shilpi Gupta, Kamal Kumar Jyotiyanain "Analysis of different congestion avoidance algorithm" International Journal of Computer Networks and Wireless Communication (IJCNWC), ISSN: 2550-3501. Vol. 3,no1,Feb 2013.
  5. Luis Ruiz-Garcia, Loredana Lunadei, Pilar Barreiro and Jose Ignacio Robla, "A Review of Wireless Sensor Technologies and Applications in Agriculture and Food Industry: State of the Art and Current Trends", Sensors, Volume 9, Issue 6, June 2009.
  6. Xuxun lio, "A Survey on Clustering Routing Protocols in Wireless Sensor Networks", MDPI, Sensors, volume 12, Issue 8, August 2012.
  7. Kiran Maraiya, Kamal Kant, Nitin Gupta, "Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network",International Journal of Computer Applications (0975 – 8887) Volume 23– No. 9, June 2011.
  8. Md. Habibe Azam1, Abdullah-Al-Nahid,Md. Abdul Alim, Md. Ziaul Amin, "A Survey and Comparison of Various Routing Protocols of Wireless Sensor Network (WSN) and a Proposed New TTDD Protocol Based on LEACH", International Journal of Computer and Network Security, Vol. 2, No. 8, August 2010.
  9. Rajashree. V. Biradar , V. C . Patil, Dr. S. R. Sawant, Dr. R. R. Mudholkar, "Classification and Comparison of Routing Protocols in Wireless Sensor Networks", ubicc Journal (Ubiquitous Computing and Communication Journal) , Volume 4.
  10. W. Heinzelman, et. al. , "An application-specific protocol architecture for wireless microsensor networks," IEEE Transactions on Wireless Communications, 1(4):660-669, 2002.
  11. S. Bandyopadhyay, et. al. , "An Energy-Effcient Hierarchical Clustering Algorithm for Wireless Sensor Networks," in IEEE INFOCOM'03.
  12. Rathi and Viswanathan, "Two Phase Clustering Method for Leach Protocol For Effective Cluster Head Selection", Journal of Computer Science, Science Publications 2014.
  13. S. Lindsey, C. Raghavendra, "PEGASIS: Power Efficient Gathering in Sensor Information Systems", IEEE Aerospace Conference Proceedings, Vol. 3, 9-16, pp. 11251130, 2002.
  14. Md Arif Ali, Abha Kiran Rajpoot, "Development of energy efficient routing protocol using Hop PEGASIS in Wireless Sensor Networks", International Journal of Computer Science & Engineering Technology (IJCSET), Vol. 5, No. 02, Feb 2014.
  15. O. Younis and S. Fahmy, "HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks", IEEE Transactions on Mobile Computing, 3:366–379, 2004.
  16. G. Smaragdakis, I. Matta, A. Bestavros, "SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks" In Second International Workshop on Sensor and Actor Network Protocols and Applications (SANPA), 2004.
  17. Femi A. Aderohunmu, Jeremiah D. Deng, Martin K. Purvis, "A deterministic Energy-efficient Clustering Protocol for Wireless sensor network", Information Science Department, University of Otago Dunedin, New Zealand, pages 341 – 346 Sensor Networks and Information Processing (ISSNIP), Dec. 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Sensor Networks Network stability Clustering mechanism Sensor Nodes Wireless Sensing Network.