Open Access   Article Go Back

Bisection Based Heuristic Technique to Resolve Sink Mobility in WSNs

Chetna Chhabra1 , Yudhvir Singh2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 78-87, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.7887

Online published on Jun 30, 2019

Copyright © Chetna Chhabra, Yudhvir Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Chetna Chhabra, Yudhvir Singh, “Bisection Based Heuristic Technique to Resolve Sink Mobility in WSNs,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.78-87, 2019.

MLA Style Citation: Chetna Chhabra, Yudhvir Singh "Bisection Based Heuristic Technique to Resolve Sink Mobility in WSNs." International Journal of Computer Sciences and Engineering 7.6 (2019): 78-87.

APA Style Citation: Chetna Chhabra, Yudhvir Singh, (2019). Bisection Based Heuristic Technique to Resolve Sink Mobility in WSNs. International Journal of Computer Sciences and Engineering, 7(6), 78-87.

BibTex Style Citation:
@article{Chhabra_2019,
author = {Chetna Chhabra, Yudhvir Singh},
title = {Bisection Based Heuristic Technique to Resolve Sink Mobility in WSNs},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {78-87},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4511},
doi = {https://doi.org/10.26438/ijcse/v7i6.7887}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.7887}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4511
TI - Bisection Based Heuristic Technique to Resolve Sink Mobility in WSNs
T2 - International Journal of Computer Sciences and Engineering
AU - Chetna Chhabra, Yudhvir Singh
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 78-87
IS - 6
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
316 316 downloads 147 downloads
  
  
           

Abstract

Sensor nodes of WSN have some degree of source of energy whilst they miles deploy in actual moment surroundings. The whole network depend upon this power to detect an event, collect information from surroundings, data aggregation and talk with base station or else sink to supply the collect statistics. The important challenges are how to increases the network lifetime using less power resource. Paper has shown that nodes close to the sink expend their influence energy faster than the nodes because of heavy operating cost messages from nodes that some distance far away from sink node. Sensors nearly sink are mutual by larger sensors to sink path therefore consume extra energy. The problem is known as hotspot problem, ends in a premature disconnection of the network. Hence Mobile sinks help achieving uniform energy-intake and implicitly offer load-balancing all the way through the network and the “Hotspot” trouble is alleviate. As well, they show of network can be better in terms of lifetime higher coverage and short reply time.

Key-Words / Index Term

Wireless sensor networks, Sink, Mobility, Networks, Cell

References

[1] M. Bhardwaj, A. Chandrakasan, and T. Garnett. Upper Bounds on the Lifetime of Sensor Networks, 2001.
[2] I. Kang and R. Poovendran, “Maximizing static network lifetime of wireless broadcast ad hoc networks,” in Proc. IEEE int. Conf. Commun., vol. 3, 2003, pp. 2256–2261
[3] 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, pp. 161–175, 2005.
[4] K. Akkaya and M. Younis, “A survey on routing protocols for wireless sensor networks,” Ad Hoc Netw., vol. 3, no. 3, pp. 325– 349, 2005.
[5] J.-H. Shin, J. Kim, K. Park, and D. Park, “Railroad: Virtual infrastructure for data dissemination in wireless sensor networks,” in Proc.2nd ACM int. workshop on Performance evaluation of wireless ad hoc,sensor, and ubiquitous networks. PE-WASUN ’05, 2005, pp. 168–174.
[6] C.-F. Chou, J.-J. Su, and C.-Y. Chen. Straight-Line Routing for Wireless Sensor Networks. June 2005.
[7] C.-J. Lin, P.-L. Chou, and C.-F. Chou, “HCDD: Hierarchical clusterbased data dissemination in wireless sensor networks with mobile sink,” in Proc. 2006 int. conf.
[8] Z.Mir and Y.-B.Ko, “A quadtree-based hierarchical data dissemination for mobile sensor networks,” Telecommunication Systems, vol. 36, pp., 2007.
[9] E. Ben Hamida and G. Chelius, “A line-based data dissemination protocol for wireless sensor networks with mobile sink,” in IEEE Int. Conf. on Communications, 2008. ICC ’08., 2008, pp. 2201–2205.
[10] 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.
[11] A. Gopakumar and L. Jacob, “Localization in wireless sensor networks using particle swarm optimization,” in Proc. IET Int. Conf. Wireless, Mobile Multimedia Netw., 2008, pp. 227–230.
[12] K. Kweon, H. Ghim, J. Hong, and H. Yoon, “Grid-based energy-efficient routing from multiple sources to multiple mobile sinks in wireless sensor networks,” in Wireless Pervasive Computing, 2009. ISWPC 2009. 4th Int. Symp. on, 2009, pp. 1 –5.
[13] A. 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.
[14] L. Buttyán and P. Schaffer, “Position-based aggregator node election in wireless sensor networks,” Int. J. Distrib. Sensor Netw., vol. 2010, pp. 1–15, Jan. 2010.
[15] K. Karenos and V. Kalogeraki, “Traffic management in sensor networks with a mobile sink,” IEEE Trans. Parallel Distrib. Syst., vol. 21, no. 10, pp. 1515–1530, Oct. 2010.
[16] R. Jaichandran, A. Irudhayaraj, and J. Raja, “Effective strategies and optimal solutions for hot spot problem in wireless sensor networks (WSN),” in Proc. 10th Int. Conf. Inf. Sci. Signal Process. Appl., 2010, pp. 389–392.
[17] A. Erman, A. Dilo, and P. Havinga, “A virtual infrastructure based on honeycomb tessellation for data dissemination in multi-sink mobile wireless sensor networks,” EURASIP J. on Wireless Communications and Networking, vol. 2012, no. 1, p. 17, 2012.
[18] T.-S. Chen, H.-W. Tsai, Y.-H. Chang, and T.-C. Chen, “Geographic converge cast using mobile sink in wireless sensor networks,” Comput. Commun., vol. 36, no. 4, p Feb. 2013.
[19] 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.
[20] C. Tunca, S. Isik, M. Y. Donmez and C. Ersoy, "Ring Routing: An Energy-Efficient Routing Protocol for Wireless Sensor Networks with a Mobile Sink," in IEEE Transactions on Mobile Computing, vol. 14, no. 9, pp. 1947-1960, Sept. 1 2015.
[21] A. W. Khan, A. H. Abdullah, M. A. Razzaque and J. I. Bangash, "VGDRA: A Virtual Grid-Based Dynamic Routes Adjustment Scheme for Mobile Sink-Based Wireless Sensor Networks," in IEEE Sensors Journal, vol. 15, no. 1, pp. 526-534, Jan. 2015.
[22] Thakshila Wimalajeewa, Member IEEE, and Pramod K. Varshney,A Survey Compressive Sensing Based Signal Processing in Wireless Sensor Networks .2017
[23] Nicolas Primeau, Rafael Falcon, A Review of Computational Intelligence Techniques in Wireless Sensor and Actuator Networks 2018.
[24] Dinesh Kumar Sah,Tarachand Amgoth Parametric survey on cross-layer designs for wireless sensor networks 2018.