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Improving Displacement Number and Overheads of DRFN using Artificial Bee Colony Technique in WSNs

by Rajneet Kaur, Shaveta Angurala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 7
Year of Publication: 2015
Authors: Rajneet Kaur, Shaveta Angurala
10.5120/ijca2015907377

Rajneet Kaur, Shaveta Angurala . Improving Displacement Number and Overheads of DRFN using Artificial Bee Colony Technique in WSNs. International Journal of Computer Applications. 131, 7 ( December 2015), 19-23. DOI=10.5120/ijca2015907377

@article{ 10.5120/ijca2015907377,
author = { Rajneet Kaur, Shaveta Angurala },
title = { Improving Displacement Number and Overheads of DRFN using Artificial Bee Colony Technique in WSNs },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 7 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number7/23461-2015907377/ },
doi = { 10.5120/ijca2015907377 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:37.581584+05:30
%A Rajneet Kaur
%A Shaveta Angurala
%T Improving Displacement Number and Overheads of DRFN using Artificial Bee Colony Technique in WSNs
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 7
%P 19-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Failure in Wireless Sensor Networks is common due to deployment of sensor nodes in harsh or hostile environment with limited power backup. Node failures could degrade the efficiency of sensor networks. Thus, failure detection and recovery techniques are very crucial for effective performance of nodes in Wireless Sensor Networks. In this paper we presented an improved DRFN technique by improving its failover mechanism. The failure handling scheme will be improved by using Artificial Bee Colony (ABC) based optimization technique. We analyze existing DRFN technique and compare it with the proposed technique on the basis of performance metrics such as occurrence of displacements and displacement overheads. Experimental results show that the proposed failure detection and recovery technique outperform over the available technique. The presented scheme is implemented and analyzed in 2013 version of MATLAB simulation tool.

References
  1. N.Tamboli and M. Younis,“Coverage-aware connectivity restoration in mobile sensor networks”, Journal of Network and Computer Applications, Vol.33,Issue 4,pp.363-374, 2010.
  2. Sayaka Kamai, Takashi Nagai and Satoshi Fujita,“Fast and reliable maintenance protocols for WSN with crash and intermittent failures”, In IEEE 2nd International Conference on Networking and Computing, Osaka, pp. 40 - 49, 2011.
  3. G. Anastasi, M. Conti, M. D. Francesco and A. Passarella,“ Energy conservation in wireless sensor networks: A survey”, In journal of Ad Hoc Networks , pp.537-568, 2009.
  4. S. Okdem, D.Karaboga and C. Ozturk,“ An Application of Wireless Sensor Network Routing based on Artificial Bee Colony Algorithm”, In IEEE Congress on Evolutionary Computation, New Orleans, LA, pp.326-330, 2011.
  5. M.Aliouat, Z.Aliouat and M.Naidja,“Adaptative Nodes Diagnosis and Recovery for wireless sensor networks”, In IEEE International Sympsium on computer applications and Industrial Electronics, Kota Kinabalu Malaysia, pp.256 - 261, 2012.
  6. M.Bellalouna and A.Ghabri,“A Priori methods for Fault Tolerance in wireless Sensor Networks”, In IEEE World Congress on Computer and Information Technology, Sousse, pp.1-6, 2013.
  7. S. Jia, W. Bailing and P. Xiyuan,“ An Efficient Recovery Algorithm for Coverage Hole in WSNs”, American Society of Transportation & Logistics, Vol. 18, pp. 5-9, 2013.
  8. H.Redwan,G.Akele and Ki-Hyung Kim, “Cluster-Based Failure Detection and Recovery Scheme in Wireless Sensor Network”, In IEEE Sixth International Conference on Ubiquitous and Future Networks, Shanghai, pp.407-412, 2014.
  9. A.Boundries ,M.Aliouat and P.Siarry, “Detection and Replacement of a failing node in the wireless sensor networks ”, International journal of Computers & Electrical Engineering, Vol. 40, Issue 2, pp.421-432, 2014.
  10. D.Jia, X.Duan and M.K.Khan, “Binary Artificial Bee Colony optimization using bitwise operation”, International journal of Computers & Industrial Engineering, Vol.76, Issue 2, pp.360-365, 2014.
  11. R.Selva Bharathil ,R.Priyadharshni and S.Ramesh,“ Artificial Bee Colony Algorithm to Find Optimum Path for Mobile Agents in Wireless Sensor Networks”, In IEEE International Conference on Advanced Communication Control and Computing Technologies, Ramanathapuram, pp.842-846, 2014.
  12. . Ozturk, E. Hancer, D. Karaboga, “Dynamic Clustering with Improved Binary Artificial Bee Colony Algorithm”, Applied Soft Computing Journal, Vol.28, pp.69–80,2015.
  13. R. Kaur and S. Angurala, “Improved Rendezvous Nodes Based LEACH Using Hybrid PSO/GA”, In International Journal of Engineering and Innovative Technology (IJEIT), Vol. 4, Issue 10, pp.85-89, April 2015.
  14. M. Saleem,Gianni A.Di Caro and M.Farooq, “Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions”, Journal of Information Sciences, Vol. 181,Issue 20,pp.4597-4624, 2010.
  15. M. Younis, I. F. Senturk, K. Akkaya, S.Lee and F. Senel, “Topology management techniques for tolerating node failures in wireless sensor networks: A survey”, In journal of Computer Networks, pp.254-283, 2014.
  16. D. Puccinelli and M.Haenggi, “Wireless Sensor Networks: Applications and Challenges of Ubiquitous Sensing”, IEEE Circuits and Systems Magazine, 2005.
  17. A. Baykaso, L. Özbakır and Pınar Tapkan, “Artificial Bee Colony Algorithm and Its Application to Generalized Assignment Problem”, Open Access Database www.i-techonline.com.
  18. I.F. Senturk, K. Akkaya and S.Yilmaz,“ Relay placement for restoring connectivity in partitioned wireless sensor networks under limited information”, In journal of Ad Hoc Networks, pp.487-503, 2014.
  19. F. Koushanfar, M. Potkonjak and A. S. Vincentelli,“ Fault Tolerance in Wireless Sensor Networks”, www-ece.rice.edu/~fk1/papers/chapter-FT_04.pdf
  20. A.Muthiah and R.Rajkumar, “A Comparison of Artificial Bee Colony algorithm and Genetic Algorithm to minimize the makespan for Job Shop Scheduling”,12th Global Congress on Manufacturing and Management, Vol .97, pp.1745–1754, 2014.
  21. P.Chanak, T.Samanta and I.Banerjee, “Fault-Tolerant Multipath Routing Scheme for energy efficient Wireless Sensor Networks”, International Journal of Wireless & Mobile Networks (IJWMN), Vol. 5, No. 2, April 2013.
  22. Rajneet Kaur and Shaveta Angurala,“ Enhanced DRFN Failover Scheme Using Artificial Bee Colony Based Optimization in Wireless Sensor Networks”, International Journal of Engineering and Innovative Technology (IJEIT), Vol 5, Issue 1, pp.59-63, 2015
  23. Tsang-Yi Wang, Yunghsiang S. Han, Pramod K. Varshney and Po-Ning Chen, “Distributed Fault-Tolerant Classification in Wireless Sensor Networks”, IEEE Journal on selected areas in communications, Vol. 23, No. 4, April 2005.
  24. H. Zhang and J. C. Hou, “Maintaining Sensing Coverage and Connectivity in Large Sensor Networks”, Ad Hoc & Sensor Wireless Networks , pp. 89-124, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Bee Colony (ABC) based Optimization Failure handling Mobile nodes Wireless sensor networks (WSN).

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