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Spherical Grid Protocol to Enhance Quality of Service to Resource Constrained Wireless Sensor Networks

Received: 12 January 2016     Accepted: 25 January 2016     Published: 14 February 2016
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Abstract

Wireless Sensor Network (WSN) is an emerging wireless communication networks to provide potential secure optimized data routing between source and destination. Presently the performance analysis of the Wireless Sensor Network routing technique and security protocols is the major research issues. A major issue in wireless sensor network (WSN) is the energy constraint in a node and its limited computing resources, which may pose an operational hazard or limitations on the network lifetime. Therefore, analyses of innovative secure routing techniques are required to utilize the resources of WSN to improve the life time of network in WSN. To design & develop any innovative wireless sensor network routing and security protocol, the network characteristics & its design issues are important consideration. The proposed spherical Grid Routing Protocol (SGRP) is designed and developed to enhance Quality of service to improve WSN performance using NS2 simulator compare to compared to modified LEACH techniques. The packet transmitted, packet received, average energy, throughput and packet delivery ratio are the main common performance measures that are used for performance analysis of proposed SGRP protocols.

Published in International Journal of Sensors and Sensor Networks (Volume 4, Issue 1)
DOI 10.11648/j.ijssn.20160401.11
Page(s) 1-6
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Wireless Sensor Network, Routing Protocols, NS2 Simulator, Packet Drop, Average Energy, Throughput, Packet Delivery Ratio

References
[1] W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy efficient communication protocol for wireless micro sensor networks,” in Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS), pp. 10–20, January 2000.
[2] Kemal Akkaya and Mohamed Younis, A Survey on Routing Protocols for Wireless Sensor Networks, Ad hoc Networks, vol. 3, no. 3, pp. 325-349, May 2005.
[3] Ananthram Swami et al., “Wireless Sensor Networks: Signal Processing and Communication Perspectives”, John Wiley, 2007.
[4] T. P. Sharma, R. C. Joshi, Manoj Misra, “GBDD: Grid Based Data Dissemination in Wireless Sensor Networks,” In Proc. 16th International Conference on Advanced Computing and Communications (ADCOM 2008), Chennai, India, 2008, pp. 234-240.
[5] Jamal N. Al-Karaki Raza Ul-Mustafa Ahmed E. Kamal, “Data Aggregation and Routing in Wireless Sensor Networks: Optimal And Heuristic Algorithms”, Computer Networks, Volume 53, Issue 7, Pages 945–960, 13 May 2009.
[6] Dragoş I. Săcăleanu, Dragoş M. Ofrim, Rodica Stoian, Vasile Lăzărescu, “Increasing lifetime in grid wireless sensor networks through routing algorithm and data aggregation techniques”, International Journal Of Communications, Issue 4, Volume 5, 2011.
[7] Neng-Chung Wang, Yung-Kuei Chiang, Chih-Hung Hsieh, and Young-Long Chen, “Grid-Based Data Aggregation for Wireless Sensor Networks”, Journal of Advances in Computer Networks, Vol. 1, No. 4, December 2013.
[8] Yung-Kuei Chiang, Neng-Chung Wang and Chih-Hung Hsieh, “A Cycle-Based Data Aggregation Scheme for Grid-Based Wireless Sensor Networks”, Sensors 2014, 14, 8447-8464; doi: 10.3390/s140508447.
[9] I. F. Akyildiz et al., A Survey on Sensor Setworks, IEEE Communication Mag., vol. 40, no. 8, Aug. 2002, pp. 102–114.
[10] W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, Energy efficient communication protocol for wireless micro sensor networks, in Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS), pp. 10–20, January 2000.
[11] T. P. Sharma, R. C. Joshi, Manoj Misra, “GBDD: Grid Based Data Dissemination in Wireless Sensor Networks,” In Proc. 16th International Conference on Advanced Computing and Communications (ADCOM 2008), Chennai, India, 2008, pp. 234-240.
[12] Jamal N. Al-Karaki Raza Ul-Mustafa Ahmed E. Kamal, “Data Aggregation and Routing in Wireless Sensor Networks: Optimal And Heuristic Algorithms”, Computer Networks, Volume 53, Issue 7, Pages 945–960, 13 May 2009.
[13] Dragoş I. Săcăleanu, Dragoş M. Ofrim, Rodica Stoian, Vasile Lăzărescu, “Increasing lifetime in grid wireless sensor networks through routing algorithm and data aggregation techniques”, International Journal Of Communications, Issue 4, Volume 5, 2011.
[14] Neng-Chung Wang, Yung-Kuei Chiang, Chih-Hung Hsieh, and Young-Long Chen, “Grid-Based Data Aggregation for Wireless Sensor Networks”, Journal of Advances in Computer Networks, Vol. 1, No. 4, December 2013.
[15] The network simulator - ns-2, http://www.isi.edu/nsnam/ns/
[16] Pritam Gajkumar Shah, Xu Huang, Dharmendra Sharma, “Analytical study of implementation issues of Elliptical Curve Cryptography for Wireless Sensor Networks”, IEEE 24th International Conference on Advanced Information Networking and Application Workshops, 2010, pp. 589-592, IEEE, 2010, DOI 10.1109/WAINA.2010.47.
[17] N. Koblitz, “Elliptical curve cryptosystems”, Mathematics of Computation, Vol. 48. pp. 203-209, 1987.
[18] Y. Shou, H. Guyennet, and M. Lehsaini, “Parallel Scalar Multiplication on Elliptic Curves in Wireless Sensor Networks”, 14th Int. Conf. on Distributed Computing and Networking (ICDCN), LNCS 7730, pp. 300-314, Bombay, India, Jan 2013.
[19] Wenbo Shi and Peng Gong, “A New User Authentication Protocol for Wireless Sensor Networks using Elliptical Curves Cryptography” in proceedings of Hindawi Publishing Corporation International Journal of Distributed Sensor Networks, Vol. 730831, 1-7, 2013.
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  • APA Style

    Jai Prakash Prasad, Suresh Chandra Mohan. (2016). Spherical Grid Protocol to Enhance Quality of Service to Resource Constrained Wireless Sensor Networks. International Journal of Sensors and Sensor Networks, 4(1), 1-6. https://doi.org/10.11648/j.ijssn.20160401.11

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    ACS Style

    Jai Prakash Prasad; Suresh Chandra Mohan. Spherical Grid Protocol to Enhance Quality of Service to Resource Constrained Wireless Sensor Networks. Int. J. Sens. Sens. Netw. 2016, 4(1), 1-6. doi: 10.11648/j.ijssn.20160401.11

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    AMA Style

    Jai Prakash Prasad, Suresh Chandra Mohan. Spherical Grid Protocol to Enhance Quality of Service to Resource Constrained Wireless Sensor Networks. Int J Sens Sens Netw. 2016;4(1):1-6. doi: 10.11648/j.ijssn.20160401.11

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  • @article{10.11648/j.ijssn.20160401.11,
      author = {Jai Prakash Prasad and Suresh Chandra Mohan},
      title = {Spherical Grid Protocol to Enhance Quality of Service to Resource Constrained Wireless Sensor Networks},
      journal = {International Journal of Sensors and Sensor Networks},
      volume = {4},
      number = {1},
      pages = {1-6},
      doi = {10.11648/j.ijssn.20160401.11},
      url = {https://doi.org/10.11648/j.ijssn.20160401.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20160401.11},
      abstract = {Wireless Sensor Network (WSN) is an emerging wireless communication networks to provide potential secure optimized data routing between source and destination. Presently the performance analysis of the Wireless Sensor Network routing technique and security protocols is the major research issues. A major issue in wireless sensor network (WSN) is the energy constraint in a node and its limited computing resources, which may pose an operational hazard or limitations on the network lifetime. Therefore, analyses of innovative secure routing techniques are required to utilize the resources of WSN to improve the life time of network in WSN. To design & develop any innovative wireless sensor network routing and security protocol, the network characteristics & its design issues are important consideration. The proposed spherical Grid Routing Protocol (SGRP) is designed and developed to enhance Quality of service to improve WSN performance using NS2 simulator compare to compared to modified LEACH techniques. The packet transmitted, packet received, average energy, throughput and packet delivery ratio are the main common performance measures that are used for performance analysis of proposed SGRP protocols.},
     year = {2016}
    }
    

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    AB  - Wireless Sensor Network (WSN) is an emerging wireless communication networks to provide potential secure optimized data routing between source and destination. Presently the performance analysis of the Wireless Sensor Network routing technique and security protocols is the major research issues. A major issue in wireless sensor network (WSN) is the energy constraint in a node and its limited computing resources, which may pose an operational hazard or limitations on the network lifetime. Therefore, analyses of innovative secure routing techniques are required to utilize the resources of WSN to improve the life time of network in WSN. To design & develop any innovative wireless sensor network routing and security protocol, the network characteristics & its design issues are important consideration. The proposed spherical Grid Routing Protocol (SGRP) is designed and developed to enhance Quality of service to improve WSN performance using NS2 simulator compare to compared to modified LEACH techniques. The packet transmitted, packet received, average energy, throughput and packet delivery ratio are the main common performance measures that are used for performance analysis of proposed SGRP protocols.
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Author Information
  • Visvesvaraya Technological University, Research Resource Centre, Belgaum, Karnataka, India

  • Department of ECE, Bapuji Institute of Engineering & Technology, Davangere, Karnataka, India

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