CFP last date
22 April 2024
Reseach Article

Energy Efficient Wireless Sensor Networks based on QoS Enhanced Base Station controlled Dynamic Clustering Protocol

by M.Sheik Dawood, S.Sadasivam, G.Athisha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 13 - Number 4
Year of Publication: 2011
Authors: M.Sheik Dawood, S.Sadasivam, G.Athisha
10.5120/1765-2420

M.Sheik Dawood, S.Sadasivam, G.Athisha . Energy Efficient Wireless Sensor Networks based on QoS Enhanced Base Station controlled Dynamic Clustering Protocol. International Journal of Computer Applications. 13, 4 ( January 2011), 44-49. DOI=10.5120/1765-2420

@article{ 10.5120/1765-2420,
author = { M.Sheik Dawood, S.Sadasivam, G.Athisha },
title = { Energy Efficient Wireless Sensor Networks based on QoS Enhanced Base Station controlled Dynamic Clustering Protocol },
journal = { International Journal of Computer Applications },
issue_date = { January 2011 },
volume = { 13 },
number = { 4 },
month = { January },
year = { 2011 },
issn = { 0975-8887 },
pages = { 44-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume13/number4/1765-2420/ },
doi = { 10.5120/1765-2420 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:53.711599+05:30
%A M.Sheik Dawood
%A S.Sadasivam
%A G.Athisha
%T Energy Efficient Wireless Sensor Networks based on QoS Enhanced Base Station controlled Dynamic Clustering Protocol
%J International Journal of Computer Applications
%@ 0975-8887
%V 13
%N 4
%P 44-49
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recent development in Micro Electro Mechanical System (MEMS) technology leads to the development of low cost and low power utilizing wireless micro sensor nodes. Wireless sensor network is a power consumingscheme, because nodes executes on restricted power batteries which reduces its lifetime. Extending the network lifetime is based on thebettermanaging of sensing node energy resource.Energy efficient routing protocol is veryessential technique in wireless sensor networks becausesensor nodes are extremely energy based. As a result, several researchers have provided different routing protocol for sensor networks, particularly routing protocols depending on clusters protocols. This is because the usage of cluster based routing has severalmeritslikeminimized control messages, re-usability of bandwidth and enhanced power control. Different cluster based routing protocol is proposed by many researchers for the purpose of reducing the consumption energy in wireless sensor networks. Those technique reduces the energy consumption but with several disadvantages like lack of QoS, inefficient transmission, etc.,To overcomethose problems, modified QoS enhanced base station controlled dynamic clustering protocolfor wireless sensor networks is proposed in this paper. Simulation results show the better energy consumption is achieved by the proposed protocol when compared to the conventional techniques.

References
  1. BabakNikmard and Salman Taherizadeh, “Using mobile agent in clustering method for energy consumption in wireless sensor network”, International Conference on Computer and Communication Technology (ICCCT), pp.153-158, 2010.
  2. Rasid M.F.A., Abdullah, R.S.A., Ghazvini M.H.F., and Vahabi M., “Principles Energy Optimization with Multi-level Clustering Algorithm for Wireless Sensor Networks”, IFIP International Conference on Wireless and Optical Communications Networks, 2007. WOCN '07, pp.1-5, 2007.
  3. Do-hyun Nam and hong-ki min, “An Energy-Efficient Clustering Using a Round-Robin Method in a Wireless Sensor Network”, 5th ACIS International Conference on Software Engineering Research, Management & Applications (SERA), pp.54-60, 2007.
  4. Ghazvini M.H.F., Vahabi M., Rasid M.F.A., and Abdullah R.S.A., “Principles Optimizing energy consumption in hierarchical clustering algorithm for wireless sensor networks”, IEEE International Conference on Telecommunications and Malaysia International Conference on Communications, ICT-MICC, pp.550-55, 2007.
  5. Bolian Yin, Hongchi Shi and Yi Shang, “Analysis of Energy Consumption in Clustered Wireless Sensor Networks”, 2nd International Symposium on Wireless Pervasive Computing, ISWPC '07, 2007.
  6. YanyanZhuang, Jianping Pan and Lin Cai, “Minimizing Energy Consumption with Probabilistic Distance Models in Wireless Sensor Networks”, NFOCOM, 2010 Proceedings IEEE, pp.1-9, 2010.
  7. Malik A.S., JingmingKuang, Jiakang Liu and Wang Chong, “Energy Consumption & Lifetime Analysis in Cluster-Based Wireless Sensor Networks for Periodic Monitoring Applications”, International Conference on Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09, Vol.1, pp.657-661, 2009.
  8. C. B. Margi, V. Petkov, V. Obraczka, and R. Manduchi, “Characterizing energy consumption in a visual sensor network testbed.” Available online: http://www.cse.ucsc.edu/manduchi/papers/stargateenergy.pdf
  9. S. D. Muruganathan, D. C. F. Ma, R. I. Bhasin, and A. O. Fapojuwo, “A centralized energy-efficient routing protocol for wireless sensor networks,” IEEE Commun. Mag., Vol. 43, No. 3, pp. S8-S13, 2005.
  10. Ahmed I., MugenPeng and Wenbo Wang, “Uniform Energy Consumption through Adaptive Optimal Selection of Cooperative MIMO Schemes in Wireless Sensor Networks”, Vehicular Technology Conference, VTC Spring, pp.198-202, 2008.
  11. C. Schurgers and M. B. Srivastava, “Energy Efficient Routing in Wireless Sensor Networks,” in proc. IEEE Military Communications Conf. Vol. 1, pp. 357-361. 2001.
  12. C. F. Li, M. Ye, G. Chen, and J. Wu, “An Energy-Efficient Unequal Clustering Mechanism for Wireless Sensor Networks,” IEEE International Conf. Mobile Adhoc and Sensor Systems, pp. 8, Nov. 2005.
  13. YanyanZhuang, Jianping Pan and Guoxing Wu, “Energy-Optimal Grid-Based Clustering in Wireless Microsensor Networks”, 29th IEEE International Conference on Distributed Computing Systems Workshops, 2009. ICDCS Workshops '09, pp.96-102, 2009.
  14. Gagarin A., Hussain S., and Yang, L.T., “Distributed Search for Balanced Energy Consumption Spanning Trees in Wireless Sensor Networks”, International Conference on Advanced Information Networking and Applications Workshops, WAINA '09, pp.1037-1042, 2009.
  15. Ali K., Neogy S., and Das P.K., “Optimal Energy-Based Clustering with GPS-Enabled Sensor Nodes”, Fourth International Conference on Sensor Technologies and Applications (SENSORCOMM), pp.13-18, 2010.
  16. Abraham O. Fapojuwo, Senior Member, IEEE, and Alejandra Cano-TinocoEnergy Consumption and Message Delay Analysis of QoS Enhanced Base Station Controlled Dynamic Clustering Protocol for Wireless Sensor Networks, IEEE transactions on wireless communications, vol. 8, no. 10, October 2009
Index Terms

Computer Science
Information Sciences

Keywords

Clustering Energyefficiency Lifetime