CFP last date
22 April 2024
Reseach Article

Energy-efficient Self Reconfigurable Clustering Approach for Heterogeneous Wireless Sensor Networks

by M. Jagadeeswara Reddy, P. Chenna Reddy, A. Ganesh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 54 - Number 7
Year of Publication: 2012
Authors: M. Jagadeeswara Reddy, P. Chenna Reddy, A. Ganesh
10.5120/8575-2312

M. Jagadeeswara Reddy, P. Chenna Reddy, A. Ganesh . Energy-efficient Self Reconfigurable Clustering Approach for Heterogeneous Wireless Sensor Networks. International Journal of Computer Applications. 54, 7 ( September 2012), 1-4. DOI=10.5120/8575-2312

@article{ 10.5120/8575-2312,
author = { M. Jagadeeswara Reddy, P. Chenna Reddy, A. Ganesh },
title = { Energy-efficient Self Reconfigurable Clustering Approach for Heterogeneous Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 54 },
number = { 7 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume54/number7/8575-2312/ },
doi = { 10.5120/8575-2312 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:55:03.409676+05:30
%A M. Jagadeeswara Reddy
%A P. Chenna Reddy
%A A. Ganesh
%T Energy-efficient Self Reconfigurable Clustering Approach for Heterogeneous Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 54
%N 7
%P 1-4
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Self Reconfigurable Clustering (Re-Clustering) mechanism is very useful and emerging technique whenever the cluster head failure occurs in the network due to limited battery power, low radio transmission range, minimum memory speed. The energy compulsion of each sensor node directly affects the scalability, efficiency and lifetime of a sensor network. In heterogeneous wireless sensor network, each node is having different amount of energy. This paper mainly focuses on Re-clustering in heterogeneous wireless sensor network for maintain the load balance and data aggregation . The proposed protocol mainly focus on the key parameters of the sensor nodes which are prolong the network lifetime such as average residual energy of the each cluster head in order to increase the network lifetime, energy dissipation of the sensor nodes.

References
  1. Akyildiz, I. F. 2002 Wireless sensor networks: a survey, Computer Networks 393–422.
  2. Sohrabi, K. 2000 Protocols for self-organization of a wireless sensor network, IEEE Personal Communications 16–27.
  3. Min, R. 2001 Low power wireless sensor networks, in: Proceedings of International Conference on VLSI Design, Bangalore, India, January
  4. Rabaey, J. M. 2000 PicoRadio supports ad hoc ultra low power wireless networking, IEEE Computer 33 (7) 42–48.
  5. Katz, H. and Kahn, J. M. Pister, K. S. J. 1999 Mobile networking for smart dust, in: Proceedings of the 5th Annual ACM/ IEEE International Conference on Mobile Computing and Networking (MobiCom_99), Seattle, WA, August.
  6. 21 ideas for the 21st century. 1999 Business Week, Aug. 30, pp. 78-167.
  7. Chong, C. Y. and Kumar, S. P. 2003. Sensor Networks: Evolution, opportunities, and Challenges. Proceedings of the IEEE, vol. 91, no. 8, Aug. , pp. 1247-1256.
  8. Jun Zheng and Abbas Jamalipour, 2009 . Wireless Sensor Networks: A Networking Perspective. , a book published by A John & Sons, Inc, and IEEEE,.
  9. Vivek Mhatre and C. Rosenberg, Homogeneous vs Heterogeneous Clustered Sensor Networks: A Comparative Study Purdue University, West Lafayette, IN 47907-1285.
  10. Heinzelman, W. and Chandrakasan, A. and Balakrishnan, H. 2002 An Application-Speci¯c Protocol Architecture for Wireless Microsen- sor Networks," IEEE Transactions on Wireless Communications, Vol. 1,
  11. An Energy-aware Re-clustering Algorithm in Heterogeneous Wireless Sensor Networks by Hung- Chi Chu1, Meng-Hung Chi1. [12 ] Hashmi, S. U. Mouftah, H. T. Georganas, N. D. 2007 Achieving Reliability Over Cluster-Based Wireless Sensor Networks Using Backup Cluster Heads, Global Telecommunications Conference, pp. 1149- 1153, Nov.
  12. Heinzelman, W. R. Chandrakasan, A. and Balakrishnan, H. 2000 Energy- Efficient Communication rotocol for Wireless Microsensor Networks The 33rd Annual HawaiiInternational Conference on System Sciences, Vol. 2, pp. 1-10, Jan.
  13. Park, M. W. , Choi, J. Y. Han, Y. J. and Chung, T. M. 2009 An Energy EfficientConcentric Clustering Scheme in Wireless Sensor Networks," Fifth International JointConference on INC, IMS and IDC, pp. 58-61.
Index Terms

Computer Science
Information Sciences

Keywords

Re-clustering heterogeneity Load balancing Data aggregation