Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

(252.27KB)
This is an Open Access publication published under CSC-OpenAccess Policy.

PUBLICATIONS BY COUNTRIES

Top researchers from over 74 countries worldwide have trusted us because of quality publications.

United States of America
United Kingdom
Canada
Australia
Malaysia
China
Japan
Saudi Arabia
Egypt
India
Hierarchical Coordination for Data Gathering (HCDG) in Wireless Sensor Networks
Manal AL-Bzoor, Laiali Almazaydeh, Syed S Rizvi
Pages - 443 - 455     |    Revised - 01-11-2011     |    Published - 15-12-2011
Volume - 5   Issue - 5    |    Publication Date - November / December 2011  Table of Contents
MORE INFORMATION
KEYWORDS
OCR (Optical Character Recognition), Non-OCR, Captcha2, Net
ABSTRACT
A wireless sensor network (WSN) consists of large number of sensor nodes where each node operates by a finite battery for sensing, computing, and performing wireless communication tasks. Energy aware routing and MAC protocols were proposed to prolong the lifetime of WSNs. MAC protocols reduce energy consumption by putting the nodes into sleep mode for a relatively longer period of time; thereby minimizing collisions and idle listening time. On the other hand, efficient energy aware routing is achieved by finding the best path from the sensor nodes to the Base Sta-tion (BS) where energy consumption is minimal. In almost all solutions there is always a tradeoff between power consumption and delay reduction. This paper presents an improved hierarchical coordination for data gathering (HCDG) routing schema for WSNs based on multi-level chains formation with data aggregation. Also, this paper provides an analytical model for energy consumption in WSN to compare the performance of our proposed HCDG schema with the near optimal energy reduction methodology, PEGASIS. Our results demonstrate that the proposed routing schema provides relatively lower energy consumption with minimum delay for large scale WSNs.
CITED BY (3)  
1 Ortega-Corral, C., Palafox, L. E., García-Macías, J. A., Sánchez-García, J., & Aguilar, L. (2014). End-to-end message exchange in a deployable marine environment hierarchical wireless sensor network. International Journal of Distributed Sensor Networks, 2014.
2 Kaleeswari, N., & Baskaran, K. (2012). Secure Energy Efficient Multipath Routing Scheme for Data Gathering in WSNs. European Journal of Scientific Research, 91(4), 505-514.
3 Rizvi, S. R., Lokesh, C., Weigle, M. C., & Olariu, S. A Next-Generation Emergency Response System for First Responders using Retasking of Wireless Sensor Networks.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Bielefeld Academic Search Engine (BASE) 
5 Scribd 
6 SlideShare 
7 PdfSR 
1 D. Estrin, R. Govindan, J. Heidemann, and S. Kumar, “Next century challenges: scalable coordination in sensor networks,” MobiCOM, pp. 263-270, August 1999.
2 A. Rai, S. Ale, S. Rizvi, and A. Riasat, “A new methodology for self localization in wireless sensor networks,” Proc of the 12th IEEE International Multitopic Conference, pp. 260 – 265, December 2008.
3 A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, and J. Anderson,“Wireless sensor networks for habitat monitoring,” Proc of WSNA, pp. 122-131, September 2002.
4 C. Li, “Overview of wireless Sensor Networks,” Journal of Computer Research and Development, vol. 42, no. 1, pp. 163-174, 2005.
5 S. Rizvi and A. Riasat, "Use of self-adaptive methodology in wireless sensor networks for reducing energy consumption," Proc of IEEE International Conference on Information and Emerging Technologies, pp. 1 - 7, July 2007.
6 K. Akkaya and M. Younis, “A Survey of Routing Protocols in Wireless Sensor Networks,” Elsevier Ad Hoc Network Journal, vol. 3, no. 3, pp. 325-349, 2005.
7 J. Al-Karaki and A. Kamal, “Routing techniques in wireless sensor networks: a survey,” IEEE Wireless Communications, vol. 11, no. 6, pp.6-28, December 2004.
8 M. Younis, M. Youssef, and K. Arisha, “Energy-aware routing in cluster-based sensor networks”, Proc of the 10th IEEE/ACM(MASCOTS2002), Fort Worth, TX, October 2002.
9 W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocols for wireless microsensor networks”, Proc of the 33rd Hawaii International Conference on System Sciences, January 2000.
10 S. Lindsay and C. Raghavendra, “PEGASIS: Power-efficient gathering in sensor information systems”, Proc. Of the IEEE, vol. 32, no. 4, pp. 66 - 71, 2003.
11 B. Sarazin and S. Rizvi, “A Self-Deployment Obstacle Avoidance (SOA) Algorithm for Mobile Sensor Networks,” International Journal of Computer Science and Security (IJCSS), Vol. 4, Issue. 3, pp. 316 - 330, 2010.
12 N. Tabassum, Q. Mamun, and Y. Urano, “COSEN: A chain oriented sensor network for efficient data collection,” Proc of the 3rd International Conference on Information Technology: New Generations (ITNG'06), pp. 7695-2497, April 2006.
13 K. Khamforoosh and H. Khamforoush, “A new rounting algorithm for energy reduction in wireless sensor networks,” Proc of 2nd IEEE International Conference on Computer Science and Information Technology, pp.505-509, 2009.
Mr. Manal AL-Bzoor
- United States of America
Mr. Laiali Almazaydeh
- United States of America
Mr. Syed S Rizvi
University of Bridgeport - United States of America
srizvi@bridgeport.edu