We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Efficient Load Balancing Schema using Multiple Mobile Sink

by S. Prabhavathi, Subramanyam, A. Ananda Rao
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 8
Year of Publication: 2015
Authors: S. Prabhavathi, Subramanyam, A. Ananda Rao
10.5120/21724-4878

S. Prabhavathi, Subramanyam, A. Ananda Rao . Efficient Load Balancing Schema using Multiple Mobile Sink. International Journal of Computer Applications. 122, 8 ( July 2015), 42-49. DOI=10.5120/21724-4878

@article{ 10.5120/21724-4878,
author = { S. Prabhavathi, Subramanyam, A. Ananda Rao },
title = { Efficient Load Balancing Schema using Multiple Mobile Sink },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 8 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 42-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number8/21724-4878/ },
doi = { 10.5120/21724-4878 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:10:04.554023+05:30
%A S. Prabhavathi
%A Subramanyam
%A A. Ananda Rao
%T Efficient Load Balancing Schema using Multiple Mobile Sink
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 8
%P 42-49
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Ensuring efficient and fast data aggregation technique is one of the challenging task when it is considered for large-scale wireless sensor network (WSN). The problems of presence of single sink, distance between sink and cluster, as well as type of presence of dynamic task to be performed within different cluster is extremely difficult to address for reliable data aggregation technique in WSN. Therefore, the proposed system introduces a novel cylindrical topology of WSN that ensures an efficient task allocation strategy in large-scale WSN architecture. The performance of the data aggregation process is further increased by considering presence of multiple mobile sink that adds exponential benefits to the task allocation policy proposed. The results simulated in MATLAB shows satisfactory performance by considering packet delivery ratio, delay minimization, and completion time of data aggregation process

References
  1. Rauthan, J. S. , Mishra, S. , An Improved Approach in Clustering Algorithm for Load Balancing in Wireless Sensor Networks, International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 5, July 2012
  2. Sun, K. , Ning, P. , Secure Distributed Cluster Formation in Wireless Sensor Networks, Proceedings of the 22nd Annual Computer Security Applications Conference, Pages 131-140, December 2006.
  3. Nazir, B. , Hasbullah, H. , Energy Balanced Clustering in Wireless Sensor Network, International Symposium in Information Technology (ITSim), IEEE, 2010
  4. Katiyar, V. , Chand, N. , Soni, S. , Clustering Algorithms for Heterogeneous Wireless Sensor Network: A Survey, International Journal of Applied Engineering Research, Volume1, No 2, ISSN-0976-4259, 2010
  5. Gupta, G. , Younis, M. , Load-Balanced Clustering in Wireless Sensor Networks, Proceedings of International Conference on Communications, Page(s): 1848 - 1852, Vol. 3, Anchorage, Alaska, May2003
  6. Zhang, H. , Li, L. , Yan, X. , Li, X. , A Load Balancing Clustering Algorithm of WSN for Data Gathering, IEEE, 2011.
  7. Israr, N. , Awan, I. , Multi-hop clustering Algorithm For Load Balancing in WSN, International Journal of Simulation, Vol. 8 No. 1, ISSN 1473-804x, 2006
  8. Kim, N. , Heo, J. , Kim, H. S. , & Kwon, W. H. , Reconfiguration of Cluster head for Load Balancing in Wireless Sensor Networks, Science Direct Computer Communications, page- 153–159, 2008
  9. Ozdemir, S. , Secure Load Balancing via Hierarchical Data Aggregation in Heterogeneous Sensor Networks, Journal of information science and engineering, Pages-1691-1705, IEEE, 2010.
  10. Zhang, Y. , Zheng, Z. , Jin, Y. , Wang, X. , Load Balanced Algorithm In Wireless Sensor Networks Based on Pruning Mechanism, IEEE transaction, 2009.
  11. Mahdari, M. , Ismail, M. , Jumari, K. , Load Balancing in Energy Efficient Connected Coverage Wireless Sensor Networks, IEEE Transaction, pages- 448-452, 2009
  12. Canci, C. M. , Trifa, V. , Martinoli, A. , Threshold Based Algo. For Power Aware Load Balancing in Sensor Networks, IEEE Transaction, 2005.
  13. Low, C. P. , Fang, C. , Mee, J. , Hang, Y. H. , Load Balanced Clustering Algorithm for Wireless Sensor Networks, IEEE Communications Society, , 2007.
  14. Ma, M. , Yang, Y. , Clustering & Load Balancing in Hybrid Sensor Network with mobile Cluster Heads, Proceedings of the 3rd international conference on quality of service in heterogeneous wired/ wireless Networks, 2006
  15. Deng, Y. , Hu, Y. , A Load balanced Clustering Algorithm for Heterogeneous Wireless Sensor Networks, IEEE, pages-1-4, ISBN: 978-1-4244-7159-1, 2010
  16. Zeynali, M. , Khanli, L. M. , Mollanejad, A. , Fuzzy Based Approach for Load Balanced Distributing database on Sensor Networks, International Journal of Future Generation Communication & Networking, Vol. 3, No. 2, June 2010
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Task Allocation Policy Wireless Topology

Powered by PhDFocusTM