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
Reseach Article

Review of Typical Power Conservation Techniques in Wireless Sensor Network

by Rajalakshmi M C
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 10
Year of Publication: 2014
Authors: Rajalakshmi M C
10.5120/15386-3497

Rajalakshmi M C . Review of Typical Power Conservation Techniques in Wireless Sensor Network. International Journal of Computer Applications. 88, 10 ( February 2014), 7-13. DOI=10.5120/15386-3497

@article{ 10.5120/15386-3497,
author = { Rajalakshmi M C },
title = { Review of Typical Power Conservation Techniques in Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 10 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 7-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number10/15386-3497/ },
doi = { 10.5120/15386-3497 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:07:14.484640+05:30
%A Rajalakshmi M C
%T Review of Typical Power Conservation Techniques in Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 10
%P 7-13
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the wide range of application, and yet exploring, wireless sensor network has attracted many researcher to design a remotely operated sensing device on such areas, where it is not possible for human to reach. However, in this process, one of the most troubleshooting issue in WSN becomes its power constraint as the nodes are backed up by battery that cannot be change or difficult to recharge in wireless environment. From past decade there has considerable amount of research work addressing towards the power consumption and depletion issues in WSN. Hence, this paper discusses some of the standard techniques that have evolved in the past with a claim of efficient power preservation techniques. The paper has also discussed some of the recent techniques identified that has the potentials of saving the energy depletion. Finally, the trade-offs towards the prior work done and current need is discussed in this paper.

References
  1. Dargie. W. , Poellabauer. C. 2010. Fundamentals of Wireless Sensor Networks: Theory and Practice. John Wiley & Sons, - Technology & Engineering, pp. 336
  2. Small. C. Capabilities and Limitations of Urban Remote Sensing, Retreived from ftp://ftp. ldeo. columbia. edu/pub/small/PUBS/SmallADurbanRS. pdf
  3. Buratti. C. , Conti. A. , Dardari. D. , Verdone. R. 2009. An Overview onWireless Sensor Networks Technology and Evolution,Vol. 9, pp. 6869-6896; doi:10. 3390/s90906869, Sensors 2009
  4. Akyildiz,I. F. , Su,W. , Sankarasubramaniam,Y. , Cayirci,E. 2002. Wireless sensor networks: a survey, Computer Networks, Vol. 38 pp. 393–422
  5. Younis,O. , Fahmy,S. 2003. Distributed Clustering for Scalable, Long-Lived Sensor Networks. Computer Science Technical Reports. Paper 1575
  6. Zhang. X and Kang G. S. 2011. E-MiLi: Energy-Minimizing Idle Listening in Wireless Networks, ACM-MobiCom
  7. Halim. A. H. A. , Zen. K. 2008. MAC Protocol to Reduce Packet Collision in Wireless Sensor Network, Proceedings of the International Conference on Computer and Communication Engineering
  8. Cano,C. , Bellalta,B. , Sfairopoulou,A. , Oliver,M. , Barceló,J. 2010. Taking Advantage of Overhearing in Low Power Listening WSNs: A Performance Analysis of the LWT-MAC Protocol, Mobile Netw Appl DOI 10. 1007/s11036-010-0280-4, Springer Science+Business Media, LLC
  9. Bhuse,V. , Gupta,A. , Lilien,L. 2006. DPDSN: Detection of packet-dropping attacks for wireless sensor networks, Proc. Trusted Internet Workshop
  10. Youn. K. T. K. H. 2012. An Energy-Efficient MAC Protocol Employing Dynamic Threshold forWireless Sensor Networks, International Journal of Distributed Sensor Networks Volume 2012, Article ID 304329, pp. 12
  11. Khemapech,I. , Miller. A. ,Duncan,I. 2007. A Survey of Transmission Power Control in Wireless Sensor Networks, Proceedings of the 8th Annual Postgraduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting (PGNet '07), pp. 15–20
  12. Anastasi,G. , Conti,M. , Francesco,M. D. , Passarella,A. 2009. Energy Conservation in Wireless Sensor Networks: a Survey, ScienceDirect
  13. Le,H-C. 2007. OBMAC: an Overhearing based MAC Protocols for Wireless Sensor network, IEEE
  14. Papadimitriou. A. , Katsaros,D. , Manolopoulos,Y. 2010. Topology control algorithms for wireless sensor networks: A critical survey, ACM
  15. Xu,Y. , Heidemann,J. 2001. Geographyinformed Energy Conservation for Ad Hoc Routing, ACM Mobicom
  16. Zorzi,M. , Rao,R. R. 2003. Geographic Random Forwarding (GeRaF) for ad hoc and sensor networks: multihop performance, IEEE-GLOBECOM
  17. Chen,B. , Jamieson,K. , Balakrishnan,H. , Morris,R. 2002. Span: An EnergyEfficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks, ACM
  18. Cerpa,A. , and Estrin,D. 2004. ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies, IEEE
  19. Rajendran,V. ,Obraczka,K. , Garcia-L-A. 2003. Energyefficient, collision-free medium access control for wireless sensor networks, in: Proceedings of the First International Conference on Embedded Networked Sensor Systems (Sensys), Los Angeles, CA
  20. Polastre,J. ,Hill,J. , Culler,D. 2004. Versatile low power media access for wireless sensor networks, in: Proceedings of the Sensys'04, San Diego, CA
  21. Ferriere,H. D. , Estrin, M. , Vetterli. 2005. Packet combining in sensor networks, in: Proceedings of the Sensys'05, San Diego, CA
  22. Mishra,S. , Nasipuri,A. 2004. An adaptive low power reservation based MAC protocol for wireless sensor networks, in: Proceedings of the IEEE International Conference on Performance Computing and Communications, pp. 316–329.
  23. Guo,C. , Zhong, L. C. , Rabaey . J. M. 2001. Low power distributed MAC for ad hoc sensor radio networks, in: Proceedings of the IEEE Globecom, pp. 2944–2948.
  24. Vuran, M. C. , Akyildiz, I. F. 2006. Spatial correlation-based collaborative medium access control in wireless sensor networks, IEEE/ACM Transactions on Networking 14, 316–329.
  25. Vuran. M. C. , Akan, O. B. , Akyildiz I. F. 2004. Spatio-temporal correlation: theory and applications for wireless sensor networks, Computer Networks Journal
  26. Zhang, Y. , LI,W. W. 2012. Modeling and energy consumption evaluation of a stochastic wireless sensor Network, EURASIP Journal on Wireless Communications and Networking
  27. Clad,F. , Gallais,A. , Mérindol,P. 2012. Energy-Efficient Data Collection in WSN: A Sink-Oriented Dynamic Backbone, IEEE,
  28. Roslin,S. E. , Gomathy,C. 2012. IBPN: Intelligent Back Propagation Network Based Cluster Head Selection for Energy Efficient Topology Control in Wireless Sensor Network, European Journal of Scientific Research ISSN 1450-216X Vol. 79 No. 4, pp. 541-550
  29. Azimi,M. A. , Ramezanpor,M. 2012. A Robust Algorithm for Management of Energy Consumption in Wireless Sensor Networks Using SOM Neural Networks, Journal of Academic and Applied Studies Vol. 2(3), pp. 1-14
  30. Singh,V. K. , Sharma,V. 2012. Elitist genetic algorithm based energy efficient routing scheme for wireless sensor networks, International Journal Of Advanced Smart Sensor Network Systems ( IJASSN ), Vol 2, No. 2
  31. Abreu,R. C. ,Arroyo,J. E. C. 2011. A Particle Swarm Optimization Algorithm for Topology Control in Wireless Sensor Networks, International Conference of the Chilean Computer Science Society
  32. Ray,A. , De,D. 2012. P-EECHS: Parametric Energy Efficient Cluster Head Selection protocol for Wireless Sensor Network, Int. Jr. of Advanced Computer Engineering & Architecture Vol. 2 No. 2
  33. Sheela. K Rani,S. ,Devarajan,N. 2012. Fuzzy Based Optimization for Power Management in Wireless Sensor Networks, International Journal of Computer Applications (0975 – 888) Vol. 48– No. 4
  34. Gilbert. 2012. Research Issues in Wireless Sensor Network Applications: A Survey, International Journal of Information and Electronics Engineering, Vol. 2, No. 5
Index Terms

Computer Science
Information Sciences

Keywords

Battery Conservation Energy Network Lifetime Wireless Sensor Network