Grid based reliable routing in WSN

https://doi.org/10.53730/ijhs.v6nS2.7204

Authors

  • V. V. Teresa Associate Professor, Department of ECE, Sri Eshwar College of Engineering
  • T. Sathiyapriya Assistant Professor, Department of ECE, Dr.Mahalingam College of Engineering and Technology
  • C. Praveen Kumar UG students, Department of ECE, Sri Eshwar College of Engineering
  • R. Kavin Prasanth UG students, Department of ECE, Sri Eshwar College of Engineering
  • S. Murugesan UG students, Department of ECE, Sri Eshwar College of Engineering
  • K. Monesh Kumar UG students, Department of ECE, Sri Eshwar College of Engineering

Keywords:

grid-based reliable routing, WSN, networks

Abstract

The requirement for carrying out solid information move in remote sensor networks is as yet an open issue in the examination local area. Despite the fact that bunch directing plans are described by their low upward and productivity in solid information move in customary remote sensor organization, this potential is still yet to be used for reasonable directing choices in the climate with deterrents and voids, through voracious and border sending. In this paper, an original Grid-Based Reliable Routing (GBRR) strategy is introduced. This is accomplished by the formation of virtual groups in light of square networks from which the following jump decision is made in light of intra-group and between bunch correspondence quality. The reenactment result shows that the created plan can make greater progression to the BS as against the standard choices of important grouping course select activities, while guaranteeing channel quality. Further recreation results have shown the upgraded unwavering quality, lower idleness and energy effectiveness of the gave conspire arbitrarily hubs and snags dispersion.

Downloads

Download data is not yet available.

References

J.N. Al-Karak, A.E. Kamal, Routing methods in remote sensor organizations: a overview, IEEE Wirel. Commun. 11 (6) (2004) 6-28.

C. Marinagi, P. Belsis, C. Skourlas, New headings for inescapable figuring in strategies, Proc. - Soc. Behav. Sci. 73 (2013) 495-502.

L. Atzori, A. Iera, G. Morabito, The web of things: an overview, Comput. Netw. 54 (2010) 2787-2805.

I. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, An overview on sensor organizations, IEEE Commun. Mag. 40 (2002) 102-105.

J.C. Navas, T. Imielinski, Geographic tending to and steering, in: Proceedings of the Third ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom'97), Budapest, Hungary, 1997 September.

B. Chen, K. Jamieson, H. Balakrishnan, R. Morris, Span: an energy-effective coordination calculation for geography upkeep in specially appointed remote organizations, Wirel. Netw. 8 (5) (2002) 481-494.

C. Intanagonwiwat, R. Govindan, D. Estrin, Directed dispersion: an adaptable and strong correspondence worldview for sensor organizations, in: Proceedings of the ACM/IEEE International Conference on Mobile Computing and Networking, Boston, MA, USA, Aug. 2000, pp. 56-67.

S. Lindsey, C. Raghavendra, PEGASIS: power-effective get-together in sensor data frameworks, in: Proceedings of IEEE Aerospace Conference, 2002. directing in remote sensor organizations, J. Sens. 2009 (2009) 11 pages Article ID 491349.

Y. Qi, J. Yu, N. Wang, An energy- productive circulated bunching calculation for remote sensor organizations, Comput. Eng. 37 (1) (2011) 83-86.

Yookesh, T. L., et al. "Efficiency of iterative filtering method for solving Volterra fuzzy integral equations with a delay and material investigation." Materials today: Proceedings 47 (2021): 6101-6104.

Published

11-05-2022

How to Cite

Teresa, V. V., Sathiyapriya, T., Kumar, C. P., Prasanth, R. K., Murugesan, S., & Kumar, K. M. (2022). Grid based reliable routing in WSN. International Journal of Health Sciences, 6(S2), 8544–8552. https://doi.org/10.53730/ijhs.v6nS2.7204

Issue

Section

Peer Review Articles