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A Dynamic Topology based PEGASIS and DSN Routing Protocol in Mobility Wireless Sensor Network

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Kiran Rani, Amit Grover
10.5120/ijca2017914287

Kiran Rani and Amit Grover. A Dynamic Topology based PEGASIS and DSN Routing Protocol in Mobility Wireless Sensor Network. International Journal of Computer Applications 167(14):20-25, June 2017. BibTeX

@article{10.5120/ijca2017914287,
	author = {Kiran Rani and Amit Grover},
	title = {A Dynamic Topology based PEGASIS and DSN Routing Protocol in Mobility Wireless Sensor Network},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {167},
	number = {14},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {20-25},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume167/number14/27937-2017914287},
	doi = {10.5120/ijca2017914287},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

PEGASIS and DSN Routing protocol (PDORP) is one of the heuristic enhancement techniques and a subset subject of swarm knowledge. PDORP depends on recreating the idea of how water drops consolidate to shape waterways and streams thusly join to join the Sea by choosing the most limited way in light of heights of the land through which they stream. An alteration in the PDORP calculation is made to accomplish the goals of the exploration in which a vitality limit set for every hub. In the event of the proposed approach with the low vitality in the subset of system the neighbour hubs of the subset can cover the zone of the kicked the bucket hub. The proposed approach is characterized on the premise of Ant Colony Optimization utilizing which the calculation turn out to be more vitality proficient. Thusly the information dropped because of the substitution of the subset might be diminished so there is a decrease in the vitality dispersal. Utilizing this approach the information dropped and other Quality parameters are likewise enhanced like, deferral, load and throughput and so forth as characterized in results and talk.

References

  1. Guravaia; K.; Velusamy, R. L.; “PDORPMRP: River Formation Dynamics based Multi-Hop Routing Protocol for Data Collection in Wireless Sensor Networks”, Eleventh International Multi-Conference on Information Processing, Volume: 54, 2015, pp: 31-36
  2. Joshi, G. P.; Nam, S. Y.; Kim, S. W.; “Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends”, Sensors, ISSM: 1424-8220, Volume: 13, No: 9, Aug 12, 2013, pp: 11196-11228
  3. Li, X; Merrett, G. V.; White, N. M.; “Energy-efficient data acquisition for accurate signal estimation in wireless sensor networks”, Journal on wireless Communications and Networking, Volums: 230, Issue:1, 2013, pp: 1-15
  4. Seada, K.; Zuniga, M.; Helmy, A.; Krishnamachari, B.; “Energy Efficient Forwarding Strategies for Geographic Routing in Lossy Wireless Sensor Networks”, Proceedings of the 2nd international conference on Embedded networked sensor systems, USA, ISBN:1-58113-879-2, 2004, pp: 108-121
  5. Mishra, N. K.; Jain; V.; Sahu, S.; “Survey on Recent Clustering Algorithms in Wireless Sensor Networks”, International Journal of Scientific and Research Publications, ISSN 2250-3153, Volume: 3, Issue: 4, April 2013, pp: 1-4
  6. Patil, P.; Kulkarni, U. P.; “Energy Efficient Aggregation With Divergent Sink Placement For Wireless Sensor Networks”, International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC), Volume: 4, No.2, April 2013, pp: 47-58
  7. Gawali, S. E.; Mantri, D. S.; “Lifetime Energy Efficient Optimization for WSN”, 2nd International Conference, Computer Technology and Development, E-ISBN :978-1-4244-8845-2, Print ISBN:978-1-4244-8844-5, 2010, pp: 235-239
  8. Kumar, N.; Kumar, M.; Patel, R. B.; “A Secure and Energy Efficient Data Dissemination Protocol for Wireless Sensor Networks”, International Journal of Network Security, Volume.15, No.6, 2012, pp.490-500.
  9. Akilandeswari, N.; Santhi B.; Baranidharan, B.; “A Survey on Energy Conservation Techniques In Wireless Sensor Networks”, ARPN Journal of Engineering and Applied Sciences, ISSN 1819-6608, Volume. 8, No. 4, APRIL 2013, pp: 265-269
  10. Saini, M.; Saini, R. K.; “Solution of Energy-Efficiency of sensor nodes in Wireless sensor Networks”, International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277 128X, Volume 3, Issue 5, May 2013, pp: 353-357
  11. Khan, A. W.; Abdullah, A. H.; Razzaque, M. A.; Bangash, J. I.; “VGDRA: A Virtual Grid-Based Dynamic Routes Adjustment Scheme for Mobile Sink-Based Wireless Sensor Networks”, IEEE Sensors Journal, Volume: 15, Issue: 1, January 2015, pp: 526-534
  12. Long, J.; Dong, M.; Ota, K.; Liu, A.; Hai, S.; “Reliability Guaranteed Efficient Data Gathering in Wireless Sensor Networks”, IEEE, ISSN: 2169-3536, Volume: 3, 2015, pp: 430-444
  13. Prabha, K. A.; Hemapriya, K.; “Energy Saving In Wireless Sensor Network Using Optimal Selective Forwarding Protocol”, International Journal of Advancements in Research & Technology, Volume: 2, Issue: 1, January-2013, pp: 1-6
  14. Hayes, T.; Ali, F.H.; “Proactive Highly Ambulatory Sensor Routing (PHASeR) protocol for mobile wireless sensor networks”, Pervasive and Mobile Computing, Volume: 21, 2015, pp: 47-61
  15. Singh, S.; Meenaxi, “A Survey on Energy Efficient Routing in Wireless Sensor Networks”, International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277-128X, Volume 3, Issue 7, July 2013, pp: 184-189.

Keywords

WSN, MWSN, PDORP

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