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Virtual based Data Dissemination Schemes for Mobile Sink in WSN

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Rinki Thakur, Yamini Sood

Rinki Thakur and Yamini Sood. Virtual based Data Dissemination Schemes for Mobile Sink in WSN. International Journal of Computer Applications 148(3):7-11, August 2016. BibTeX

	author = {Rinki Thakur and Yamini Sood},
	title = {Virtual based Data Dissemination Schemes for Mobile Sink in WSN},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2016},
	volume = {148},
	number = {3},
	month = {Aug},
	year = {2016},
	issn = {0975-8887},
	pages = {7-11},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2016911064},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


In wireless sensor networks, emergence of sink mobility has been considered as a good strategy to maintain the nodes energy dissipation. According to previous approaches the Dynamic Routes Adjustment (VGDRA) plan that acquires slightest correspondence cost while keeping up almost ideal courses to the most recent area of the portable sink. The proposed plan parcels the sensor field into a virtual matrix and develops a virtual spine structure included the cell header hubs. A versatile sink while moving around the sensor field continues changing its area and associates with the nearest marginal cell-header for information accumulation. Utilizing a set of correspondence guidelines, limited number of the cellheaders participates in the courses recreation prepares along these lines diminishing the general correspondence cost. The proposed approach is to minimize energy utilization and maximize network lifetime by implementing optimization technique Biogeography Based Optimization (BBO) as selection algorithm for route adjustment. The simulation results represented improved network lifetime of existed VGDRA comparison with VGDRA-BBO using ns2 as a simulation tool.


  1. R. C. Shah, S. Roy, S. Jain, and W. Brunette, “Data MULEs: Modeling and analysis of a three-tier architecture for sparse sensor networks,” in Ad Hoc Netw., vol. 1. 2003, pp. 215–233.
  2. S. R. Gandham, M. Dawande, R. Prakash, and S. Venkatesan, “Energy efficient schemes for wireless sensor networks with multiple mobile base stations,” in Proc. IEEE Global Telecommun. Conf. (GLOBECOM), vol. 1. Dec. 2003, pp. 377–381.
  3. W. Khan, A. H. Abdullah, M. H. Anisi, and J. I. Bangash, “A comprehensive study of data collection schemes using mobile sinks in wireless sensor networks,” Sensors, vol. 14, no. 2, pp. 2510–2548, 2014.
  4. M. Di Francesco, S. K. Das, and G. Anastasi, “Data collection in wireless sensor networks with mobile elements,” ACM Trans. Sensor Netw., vol. 8, no. 1, pp. 1–31, Aug. 2011.
  5. Chalermek, R. Govindan, and D. Estrin, “Directed diffusion: A scalable and robust communication paradigm for sensor networks,” in Proc. ACM SIGMOBILE Int. Conf. Mobile Comput. Netw. (MOBICOM), 2000, pp. 56–67.
  6. E. B. Hamida and G. Chelius, “Strategies for data dissemination to mobile sinks in wireless sensor networks,” IEEE Wireless Commun., vol. 15, no. 6, pp. 31–37, Dec. 2008.
  7. T.-S. Chen, H.-W. Tsai, Y.-H. Chang, and T.-C. Chen, “Geographic convergecast using mobile sink in wireless sensor networks,” Comput. Commun., vol. 36, no. 4, pp. 445–458, Feb. 2013.
  8. S. Oh, E. Lee, S. Park, J. Jung, and S.-H. Kim, “Communication scheme to support sink mobility in multi-hop clustered wireless sensor networks,” in Proc. 24th IEEE Int. Conf. Adv. Inf. Netw. Appl., Apr. 2010, pp. 866–872.
  9. O. Younis and S. Fahmy, “HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks,” IEEE Trans. Mobile Comput., vol. 3, no. 4, pp. 366–379, Oct. 2004.
  10. B. Hamida and G. Chelius, “A line-based data dissemination protocol for wireless sensor networks with mobile sink,” in Proc. IEEE Int. Conf. Commun., May 2008, pp. 2201–2205.
  11. Z. H. Mir and Y.-B. Ko, “A quadtree-based data dissemination protocol for wireless sensor networks with mobile sinks,” in Proc. Personal Wireless Commun., 2006, pp. 447–458.
  12. H. Luo, F. Ye, J. Cheng, S. Lu, and L. Zhang, “TTDD: Two-tier data dissemination in large-scale wireless sensor networks,” Wireless Netw., vol. 11, nos. 1–2, pp. 161–175, Jan. 2005.
  13. W. B. Heinzelman, A. P. Chandrakasan, S. Member, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Trans. Wireless Commun., vol. 1, no. 4, pp. 660–670, Oct. 2002.
  14. Manjeshwar and D. P. Agrawal, “TEEN: A routing protocol for enhanced efficiency in wireless sensor networks,” in Proc. 15th Int. Parallel Distrib. Process. Symp. (IPDPS), vol. 1. Apr. 2000, pp. 2009–2015.
  15. Abdul Waheed Khan, Abdul Hanan Abdullah Mohammad Abdur Razzaque, and Javed Iqbal Bangash “VGDRA: A Virtual Grid-Based Dynamic Routes Adjustment Scheme for Mobile Sink-Based Wireless Sensor Networks” IEEE sensors journal, vol. 15, no. 1, january 2015
  16. Simon, D, Biogeography based Optimization IEEE Trans. Evol. Comput. 2008, 6, 702–713.
  17. Bipandeep Singh, “An Improved Energy-Efficient BBO-Based PEGASIS Protocol in Wireless Sensors Network” in nt. Journal of Engineering Research and Applications,Vol. 4, Issue 3( Version 1), March 2014, pp.470-474


Wireless Sensor Network, Life time, Throughput, Mobile sink