CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Sink Mobility Oriented Data Aggregation using ETSSE Protocol in Heterogeneous Wireless Sensor Network Having Multiple Cluster Association

by Sunil Kumar Bisaiya, S. K. Saxena
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 13
Year of Publication: 2016
Authors: Sunil Kumar Bisaiya, S. K. Saxena
10.5120/ijca2016910893

Sunil Kumar Bisaiya, S. K. Saxena . Sink Mobility Oriented Data Aggregation using ETSSE Protocol in Heterogeneous Wireless Sensor Network Having Multiple Cluster Association. International Journal of Computer Applications. 146, 13 ( Jul 2016), 5-13. DOI=10.5120/ijca2016910893

@article{ 10.5120/ijca2016910893,
author = { Sunil Kumar Bisaiya, S. K. Saxena },
title = { Sink Mobility Oriented Data Aggregation using ETSSE Protocol in Heterogeneous Wireless Sensor Network Having Multiple Cluster Association },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 13 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 5-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number13/25456-2016910893/ },
doi = { 10.5120/ijca2016910893 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:20.074379+05:30
%A Sunil Kumar Bisaiya
%A S. K. Saxena
%T Sink Mobility Oriented Data Aggregation using ETSSE Protocol in Heterogeneous Wireless Sensor Network Having Multiple Cluster Association
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 13
%P 5-13
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this article, an approach for heterogeneous environment of three types of nodes with different energy levels namely advance nodes, intermediate nodes and normal nodes is proposed. Energy efficiency of the proposed approach can be improved through Multiple Cluster Heads. The mobile sink node and mobile sensor nodes can directly reach cluster heads and collect data from it. Mobile sink reduces the energy consumption arises due to routing of data to the static sink, Cluster Head or Base Station. Path of sink node is optimized to reach the cluster heads. Mobility of sink via shortest path reduces delay of data delivery. Proposed approach with sink mobility and without sink mobility are compared by conducting simulation in NS2. Performance of this approach is evaluated with appropriate metrics.

References
  1. Awwad, S. A., Ng, C. K., Noordin, N. K., & Rasid, M. F. A. (2011). Cluster based routing protocol for mobile nodes in wireless sensor networks. Wireless Personal Communications, 61(2), 251–281.
  2. Al-Karaki, J. N., & Kamal, A. E.(2004). Routing techniques in wireless sensor networks: A survey. IEEE Wireless Communications, 11(6), 6–28.
  3. Afsar, M. M., Mohammad, H., & Tayarani, N. (2014). Clustering in sensor networks: A literature survey. Journal of Network and Computer Applications, 46, 198–226.
  4. Bandyopadhyay, S., & Coyle, E. J. (2003). An energy efficient hierarchical clustering algorithm for wireless sensor networks. In Proceedings of INFOCOM.
  5. Kashaf, A., Javaid, N., Khan, Z. A., & Khan, I. A. (2012). TSEP: Threshold-sensitive stable election protocol for WSNs. In 10th international conference on frontiers of information technology (FIT) (Vol.164, no. 168, pp. 17–19).
  6. Femi, A. A., & Jeremiah, D. D. (2011). An enhanced Stable Election Protocol (SEP) for clusteredheterogeneous WSN. Department of Information Science, University of Otago, New Zealand.
  7. Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless micro sensor networks. System Sciences. In Proceedings of the 33rd annual Hawaii International conference (pp. 4–7).
  8. Islam, M. M., Matin, M. A., & Mondol, T. K. (2012). Extended Stable Election Protocol (SEP) for three-level hierarchical clustered heterogeneous WSN.In IET conference on wireless sensor systems (WSS 2012) (pp. 1–4).
  9. Bandyopadhyay, S., & Coyle, E. J. (2004). Minimizing communication costs in hierarchically-clustered networks of wireless sensors. Computer Networks, 44, 1–16.
  10. Kumar, D., Aseri, T. C., & Patel, R. B. (2009). EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks. Computer Communications, 32(4), 662–667.
  11. Kuila, P., & Jana, P. K. (2014). A novel differential evolution based clustering algorithm for wireless sensor networks. Applied Soft Computing, 25, 414–425.
  12. Manjeshwar, A., & Agarwal, D. P. (2001). TEEN: A routing protocol for enhanced efficiency inwireless sensor networks. In 1st international workshop on parallel and distributed computing issues in wireless networks and mobile computing.
  13. Qureshi, T. N., Javaid, N., Malik, M., Qasim, U., & Khan, Z. A. (2012). On performance evaluation of variants of DEEC in WSNs. In Seventh international conference on broadband, wireless computing, communication and applications (BWCCA) (Vol. 12, no. 14, pp. 162–169).
  14. Saini, P., & Sharma, A. K. (2010). Energy efficient scheme for clustering protocol prolonging the lifetime of heterogeneous wireless sensor networks. International Journal of Computer Applications, 6(2), 30–36.
  15. Sajjanhar, U., & Mitra, P. (2007). Distributive energy efficient adaptive clustering protocol for wireless sensor networks. In Proceedings of the 2007 international conference on mobile data management (pp.26–33).
  16. Smaragdakis, G., Matta, I., & Bestavros, A. (2004). SEP: A stable election protocol for clustered heterogeneous wireless sensor networks. In Second international workshop on sensor and actor network protocols and applications (SANPA 2004), Boston, MA.
  17. Shepard, T. J. (1996). A channel access scheme for large dense packet radio networks. In Proceedings of ACM SIGCOMM (pp. 219–230).
  18. P.Kanagaraj, T.Sasi. Energy Efficient Multiple Mobile Sink and Interference Aware Path Selection in Wireless Sensor Networks. IEEE Sponsored International Conference on Intelligent Systems and Control (ISCO’15).
  19. L.Brindha, U.Muthaiah. Energy Efficient Mobile Sink Path SelectionUsing a Cluster Based Approach in WSNs. International Journal of Innovative Research in Computer and Communication Engineering.
  20. Hamidreza Salarian, Kwan-Wu Chin, and Fazel Naghdy. An Energy-Efficient Mobile-Sink Path Selection Strategy for Wireless Sensor Networks. IEEE Transactions on Vehicular Technology, VOL. 63, NO. 5, JUNE 2014.
  21. Amruta S. Pattanshetti, Mr. N D. Kale. A Survey on Big-Data Gathering using Mobile Collector in Densely Deployed Wireless Sensor Network .International Journal of Engineering Research & Technology (IJERT),Vol. 3 Issue 12, December-2014.
  22. Suchita R.Wankhade and Nekita A.Chavha. A Review on Data Collection Method with Sink Node in Wireless Sensor Network. International Journal of Distributed and Parallel Systems (IJDPS) Vol.4, No.1, January 2013.
  23. G. Sunil, Mrs. D. Jasmine David. Cluster Based Energy Efficient Sensory Data Collection With Mobile Sink. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, Issue 2, February 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Clustering Mobile Sink (MS) Cluster Head Stable Election Protocol(SEP) Energy-efficiency Network Lifetime Wireless Sensor Network(WSN) Enhanced Threshold Sensitive Stable Election Protocol(ETSSEP) Rendezvous Points(RPs)

Powered by PhDFocusTM