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Reseach Article

Selection of Optimum Routing Protocol for 2D and 3D WSN

by Robin Chadha, Love Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 165 - Number 2
Year of Publication: 2017
Authors: Robin Chadha, Love Kumar

Robin Chadha, Love Kumar . Selection of Optimum Routing Protocol for 2D and 3D WSN. International Journal of Computer Applications. 165, 2 ( May 2017), 1-5. DOI=10.5120/ijca2017913788

@article{ 10.5120/ijca2017913788,
author = { Robin Chadha, Love Kumar },
title = { Selection of Optimum Routing Protocol for 2D and 3D WSN },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 165 },
number = { 2 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2017913788 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:11:16.123882+05:30
%A Robin Chadha
%A Love Kumar
%T Selection of Optimum Routing Protocol for 2D and 3D WSN
%J International Journal of Computer Applications
%@ 0975-8887
%V 165
%N 2
%P 1-5
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

A Wireless Sensor Network is a network of sensor nodes with sensing, conditioning and communication capabilities. All these sensors nodes are deployed in the wireless sensor network in distributed manner. These Sensor nodes rely on their onboard batteries for the energy required for performing their operations. Recharging or Replacement of these batteries is quite difficult. So Several Research efforts are made from many decades to introduce the Wireless Sensor Network (WSN) routing technology with energy efficient manners. In this paper, an experimental evaluation of energy efficiency of routing protocols like dummy, adaptive probabilistic broadcast and adaptive flooding is presented for both 2 dimensional and 3 dimensional scenario of 100 nodes WSN. The computation of energy efficiency of these routing protocols is totally based on the comparative results of parameters like mean energy consumption, average dropped frames and latency of nodes with respect to number of packets transmitted. The computation of these wireless sensor networks are performed using OMNET++ 4.5 with MIXIM module.

  1. Robin Chadha, Love kumar, “A survey on positioning based energy efficient WSN” in International Journal for Science, Management and Technology, October 2016
  2. Michael Kirsche and Matti Schnurbusch” A New IEEE 802.15.4 Simulation Model for OMNeT++” arXiv:1409.1177v2 [cs.NI] 13 Sep 2015.
  3. Degan Zhang et. al., “An Energy – Balanced Routing Method based on forward-aware factor for wireless sensor networks” ,IEEE ,vol-10 No.1,pp 766-773,2014
  4. G Singh, H P Singh, A Sharma, “Comparative Analysis of Energy Efficient Protocols for Prolonged Life of Wireless Sensor Network”, in Third International Conference on Soft Computing for Problem Solving, 2014, pp: 75-85
  5. Jatinder Pal Singh, Love Kumar” Power Consumption Analysis of Wireless Sensor Networks with Different Modulation and Routing Techniques” International Journal of Emerging Technologies in Computational and Applied Sciences, 10(2), September-November,2014, pp. 116-121
  6. Jatinder Pal Singh, Love Kumar” POWER CONSUMPTION ANALYSIS OF STATIC AND MOBILE WIRELESS SENSOR NETWORKS WITH CONVERGE CAST ROUTING” CT International Journal of Information &Communication Technology Vol. 2, Issue 1, 2014
  7. Jatinder Pal Singh, Love Kumar” Power consumption measurement for convergecast routing in Wireless sensor network” national conference on innovations in engineering and technology, march 2014
  8. Antônio Dâmaso et al,” Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models” Sensors 2013, 13, 3473-3500; doi:10.3390/s130303473
  9. Haibo Zhang, Pablo Soldati and Mikael Johnson, “Performance Bounds and Latency-optimal scheduling for convergecast in wireless networks”, IEEE – 1536-1276 , 2013.
  10. Jatinder Pal Singh, Love Kumar” A Survey on Power Management Techniques in Wireless Sensor Network” International Journal for Science and Emerging Technologies with Latest Trends” 13(1): 31-35 (2013)
  11. Himanshu Sharma and vaibhav kumar, “Energy Efficiency of the IEEE 802.15.4 Standard in Wireless Sensor Networks: Modeling and Improvement Perspectives” Proceedings of International Journal of Computer Applications (0975 – 8887) Volume 58– No.9, November 2012.
  12. Prabhat Kumar, M.P. Singh and U.S. Triar, “A Review of Routing Protocols in Wireless Sensor Network”, International Journal of Engineering Research & Technology (IJERT) Vol. 1 Issue 4, June - 2012 ISSN: 2278-0181.pp 1-14.
  13. Fengyuan Ren, Jiao Zhang, Tao He and Chuang Lin , “EBRP: Energy Balanced Routing Protocol for data Gathegring in WSN” ,IEEE-1045-9219, 2011. pp 2108-2125, Vol.22 No.12 Dec 2011
  14. Alan W.F. Boyd ,Dharini Balasubramaniam and Alan Dearle ,”A Collaborative Wireless Sensor Network Routing Scheme For Reducing Energy Wastage” , IEEE, 978-1-4244-6826-3 ,2010.
  15. Suraiya Tarannum “Energy Conservation Challenges in Wireless Sensor Networks: A Comprehensive Study”, Wireless Sensor Network, Vol. 2, 2010, pp: 483-491.
  16. Jennifer Yick, Biswanath Mukherjee, dipak Ghosal, “Wireless sensor network survey”,Computer Networks, Vol. 52, 2008, pp: 2292–2330.
  17. Liyang Yu, Neng Wang, Wei Zhang and Chunlei Zheng, “Deploying a Heterogeneous Wireless Sensor Network”, in proceeding of Wireless Communications, Networking and Mobile Computing, 2007, pp: 2588-2591.
  18. MiXiM - SourceForge
Index Terms

Computer Science
Information Sciences


2D & 3D WSN Energy consumption latency routing protocols OMNET ++.