International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Energy Efficiency Optimization in Wireless Sensor Network Using Proposed Load Balancing Approach

Author NameAuthor Details

Sukhkirandeep Kaur, Roohie Naaz Mir

Sukhkirandeep Kaur[1]

Roohie Naaz Mir[2]

[1]Research Scholar, National Institute of Technology, Srinagar, India.

[2]Professor, National Institute of Technology,Srinagar, India.

Abstract

Advancement in MEMS technology, networking and embedded microprocessors have led to the development of a new generation of a Wireless Sensor Network (WSN) that can operate in unattended and harsh environment depending upon application. WSN consist of large number of power-conscious devices called sensor nodes that detect and observe any physical phenomenon and can be used in a wide range of applications. Underlying topology plays an important role in the performance of the Wireless Sensor Network. Depending upon the application, deployment is performed either deterministically or randomly. WSN suffers from a lot of issues that includes energy conservation, scalability, latency, computational resources and communication capabilities. Energy efficiency is critical issue in Wireless Sensor Networks as nodes are equipped with limited power supply and nodes that bypass most of the traffic deplete their energy faster that leads to decreased network lifetime. Incorporating clustering in the network improves scalability, increase energy efficiency and reduces redundancy. A new clustering approach for WSN has been discussed that includes load balancing and improves energy efficiency by precise selection of CH's. Analysis and simulation results demonstrate the effectiveness of the proposed approach.

Index Terms

Wireless Sensor Networks (WSN)

Base Station (BS)

Clustering

Load Balancing (LB)

Reference

  1. 1.
    G. Tuna, R. Das, A. Tuna, “Wireless Sensor Network-Based Health Monitoring System for the Elderly and Disabled”, International Journal of Computer Networks and Applications (IJCNA), Volume 2, Issue 6, November – December (2015), pp. 247-253.
  2. 2.
    R.K.Jha,A.Singh,A.Tiwari,P.Shrivastava,”Performance Analysis of Disaster Management using WSN Technology”,Procedia Computer Science ,2015, pp.162-169.
  3. 3.
    D. Chen and P. K. Varshney, “QoS Support in Wireless Sensor Network: A Survey,” Proceedings of the International Conference on Wireless Networks (ICWN 04), Las Vegas,June 2004, pp. 227-233.
  4. 4.
    Luhutyit Peter Damuut,Dongbing Gu, " A Survey of Deterministic Vs. Non-Deterministic Node Placement Schemes in WSNs”, SENSORCOMM 2012 : The Sixth International Conference on Sensor Technologies and Applications, 2012.
  5. 5.
    Las Vegas, Nevada, Las Vegas, Nevada, Mohamed Younis, Kemal Akkaya, “Strategies and techniques for node placement in wireless sensor networks: A survey”, Ad Hoc Networks, vol. 6, 2008, pp. 621–655.
  6. 6.
    Akhilesh Shrestha and Liudong Xing, "A performance comparison of Different topologies for wireless sensor networks", IEEE Conference on Technologies for Homeland Security,2007, pp. 280-285.
  7. 7.
    Wint Yi Poe,Jens B. Schmitt,"Node deployment in large Wireless Semsor Networks:Coverage,Energy Consumption and Worst-Case Delay", AINTEC '09 Asian Internet Engineering Conference ,2009, pp.77-84.
  8. 8.
    Quazi Mamun, " A Qualistative Comparison of Different Logical Topologies for Wireless Sensor Networks",SENSORS, , vol. 12, 14887-14913. 2012.
  9. 9.
    Liudong Xing and A. Shrestha, " QoS Reliability of Hierarchial Clustered Wireless Sensor Networks", In Proceedings of 25th IEEE International Conference on Performance,Computing and Communications,April 10-12,2006.
  10. 10.
    Sukhkirandeep Kaur,Roohie Naaz Mir,"Clustering in Wireless Sensor Networks-A Survey",I.J. Computer Network and Information Security ,vol. 6,2016, pp.38-51.
  11. 11.
    W.Heinzelman, A.Chandrakasan, and H. Balakrishnan,“Energy-Efficient Communication Protocols for Wireless Microsensor Networks”, Proceedings of the 33rd Hawaaian International Conference on Systems Science (HICSS), January 2000.
  12. 12.
    P. Kuila, P. K. Jana, “Energy Efficient Load-Balanced Clustering Algorithm for Wireless Sensor Networks”, 2nd International Conference on Communication, Computing & Security [ICCCS-2012],2012, pp-771-777.
  13. 13.
    Xuxun Liu, “A Survey on Clustering Routing Protocols in Wireless Sensor Networks”, Sensors, vol. 12,Aug. 2012, , pp. 11113–11153.
  14. 14.
    Mark Yarvis, Nandakishore Kushalnagar, Harkirat Singh, " Exploiting Heterogeneity in Sensor Networks" Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.,vol. 2, 2005,pp. 878-890.
  15. 15.
    Femi A. Aderohunmu, Jeremiah D. Deng, Martin Purvis, " Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity", 18 International Journal of Business Data Communication and Networking",vol.7,no.4,2011,pp. 18-31.
  16. 16.
    R.M.B. Hani and A.A. Ijjeh, “A survey on leach based energy aware protocols for wireless sensor networks”, Journal of communication, vol. 8, 2013.
  17. 17.
    S. Banerjee and S. Khuller, “A clustering scheme for hierarchical control in multi-hop wireless networks”, in Proceedings of 20th Joint Conference of the IEEE Computer and Communications Societies (INFOCOMŠ 01), Anchorage, AK, April 2001.
  18. 18.
    R. Tandon, B. Dey and S. Nandi, “Weight based clustering in wireless sensor networks”, Communications (NCC), 2013.
  19. 19.
    Dipak Wajgi1 and Dr. Nileshsingh V. Thakur2," LOAD BALANCING BASED APPROACH TO IMPROVE LIFETIME OF WIRELESS SENSOR NETWORK, International Journal of Wireless & Mobile Networks (IJWMN), vol. 4, No. 4, August 2012.
  20. 20.
    Gaurav Gupta, Mohamed Younis, “Load-Balanced Clustering of Wireless Sensor Networks",in Proc. IEEE International Conference on Communications(ICC’03),vol. 3,May 2003,pp.1848-1852.
  21. 21.
    Ying Liao, Huan Qi, and Weiqun Li,"Load-Balanced Clustering Algorithm With Distributed Self-Organization for Wireless Sensor Networks", IEEE SENSORS journal, vol. 13, no. 5, May 2013.
  22. 22.
    N. Kamyabpour, D.B. Hoang, “Modeling overall energy consumption in wireless sensor networks”, 11th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT-10, December 2010, pp. 8–11
  23. 23.
    M. N. Halgamuge, M. Zukerman, K. Ramamohanarao, and H. L. Vu, "An estimation of sensor energy consumption," Progress In Electromagnetics Research B, vol. 12, 259-295, 2009.
  24. 24.
    Rodolfo Miranda Pereira, Linnyer Beatrys Ruiz, Maria Luisa Amarante Ghizoni," MannaSim: A NS-2 extension to simulate Wireless Sensor Network",ICN: The Fourteenth International Conference on Networks,2015.
  25. 25.
    http://www.isi.edu/nsnam/ns/
  26. 26.
    Norashidah Md Din, M.Z. Jamaludin,"Trace Analyzer for NS-2",IEEE,2006
  27. 27.
    Mridula Maurya, Shri R.N. Shukla," Current Wireless Sensor Nodes(Motes):Performance metrics and constraints",International Journal of advanced research in Electronics and Communication Engineering(IJARECE),volume 2, Issue 1, January 2013.
  28. 28.
    M. Kavitha, B. Ramakrishnan, Resul Das, “A Novel Routing Scheme to Avoid Link Error and Packet Dropping in Wireless Sensor Networks”, International Journal of Computer Networks and Applications (IJCNA), volume 3, Issue 4, July – August, 2016, PP. 86-94, DOI: 10.22247/ijcna/2016/v3/i4/48569.
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