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

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Energy Management to Optimize the Lifetime of Wireless Sensor Network

by Avhad Kalyani B., V. S. Deshpande
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 8
Year of Publication: 2012
Authors: Avhad Kalyani B., V. S. Deshpande
10.5120/9570-4042

Avhad Kalyani B., V. S. Deshpande . Energy Management to Optimize the Lifetime of Wireless Sensor Network. International Journal of Computer Applications. 59, 8 ( December 2012), 26-29. DOI=10.5120/9570-4042

@article{ 10.5120/9570-4042,
author = { Avhad Kalyani B., V. S. Deshpande },
title = { Energy Management to Optimize the Lifetime of Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 8 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number8/9570-4042/ },
doi = { 10.5120/9570-4042 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:03:39.394088+05:30
%A Avhad Kalyani B.
%A V. S. Deshpande
%T Energy Management to Optimize the Lifetime of Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 8
%P 26-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The sensors in the wireless sensor network are resource constraint devices. The sensors are powered by batteries which is the most critical resource with the sensors. The limited battery limits the lifetime of the entire network. Due to more workload, some nodes die quickly which can affect the connectivity and coverage of the network. So the residual energy with remaining nodes gets wasted. Reduction in unnecessary energy consumption, clustering, mobility, use of proper transmission policy and proper transmission distance helps to reduce the wastage of energy. This paper studies such strategies that reduce the power consumption and ultimately improve the network lifetime and in next section we propose an energy aware protocol for wireless sensor network.

References
  1. Zhao Cheng, Mark Perillo, and Wendi B. Heinzelman, "General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies", IEEE Transactions On Mobile Computing, Vol. 7, No. 4, April 2008.
  2. A. K. M. Azad and JoarderKamruzzaman, "Energy-Balanced Transmission Policies for Wireless Sensor Networks", IEEE Transactions On Mobile Computing, Vol. 10, No. 7, July 2011.
  3. D. Q. Bai, In-Yeup Kong and Won-Loo Hwang, "Trade-off between Reliability and Energy-efficiency in Transport Protocol for Wireless Sensor Networks", SICE-ICASE International Joint Conference, pp. 429 – 434, Oct. 18-21, 2006
  4. Zhi Tan, Yun Liu, Zhenjiang Zhang, "Performance Requirement on Energy Efficiency in WSNs",3rd International IEEE Conference on Computer Research and Development (ICCRD), Vol. 3, pp. 159-162, March 2011.
  5. Arun K. Kumar and Krishna M. Sivalingam, "Energy-Efficient Mobile Data Collection in Wireless Sensor Networks with Delay Reduction using Wireless Communication",Second International IEEE Conference on Communication Systems and Networks, pp. 1-10, January 2010.
  6. Weiwei Fang, Feng Liu, Fangnan Yang, Lei Shu, and ShojiroNishio, "Energy-Efficient Cooperative Communication for Data Transmission in Wireless Sensor Networks", IEEE Transactions on Consumer Electronics, Vol. 56, No. 4, pp. 2185-2192, November 2010.
  7. HeshamAbusaimeh and Shuang-Hua Yang, "Balancing the Power Consumption Speed in Flat and Hierarchical WSN", International Journal of Automation and Computing, Vol. 05, No. 4, pp. 366-375, October 2008.
  8. Yang wenguo and GuoTiande, "The Non-uniform Property of Energy Consumption and its Solution to the Wireless Sensor Network", Second International IEEE Workshop on Education Technology and Computer Science, Vol. 2, pp. 186-192, 2010.
  9. CesareAlippi, GluseppeAnastasi, Mario Di Francesco and Manuel Roveri, "Energy Management in Wireless Sensor Networks with Energy-Hungry Sensors", IEEE Instrumentation and Measurement Magazine, Vol. 2, issue. 2, pp. 16-23, April 2009.
  10. Dali Wei, Yichao Jin, SerdarVural, Klaus Moessner, and Rahim Tafazolli, "An Energy-Efficient Clustering Solution for Wireless Sensor Networks", IEEE Transactions On Wireless Communications, Vol. 10, No. 11, November 2011.
  11. Sungjin Park, Woongsup Lee, and Dong-ho Cho, "Fair Clustering for Energy Efficiency in a Cooperative Wireless Sensor Network",75th IEEE Conference on Vehicular Technology, pp. 1-5, 2012.
  12. Maneesha V Ramesh1, Sreedevi A. G2, KamalanathanK3, P VenkatRangan, "Energy Comparison of Balanced and Progressive Sensor Networks", Annual IEEEConference on Wireless and Optical Communications, pp. 93-98, April 19-21, 2012.
  13. FengyuanRen, Jiao Zhang, Tao He and Sajal K. Das, "EBRP: Energy-Balanced Routing Protocol for DaaGatherig in Wireless Sensor Network", IEEE Transactions on Parallel and Distributed Systems, Vol. 22, No. 12, December 2011.
  14. Shiow-Fen Hwang, Hsin-Hui Lin, Chyi-Ren Dow, "An Energy-Efficient Routing Protocol in Wireless Sensor Networks with Holes", Fourth International Conference on Ubiquitous and Future Networks, pp. 17-22, 2012.
  15. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, "Wireless sensor networks: a survey", Computer Networks, pp. 393–422, 2002.
Index Terms

Computer Science
Information Sciences

Keywords

wireless sensor network energy network lifetime mobile node

Powered by PhDFocusTM