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Balanced Multicast Routing Performance in Autonomous Sensor Networks

Received: 11 October 2016    Accepted: 2 November 2016    Published: 21 December 2016
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Abstract

Wireless sensor networks (WSNs) are almost autonomous and dynamic network consisting of a number of wireless nodes with limited energy. Accordingly, multicast routing protocols for WSNs encounter many challenges such as energy limitation, limited bandwidth, and self-configuration when producing multi-hop routes. Most existing multicast routing protocols are designed for ad hoc networks which maximize network throughput regardless energy consumption. However, multicast routing protocols for WSNs must consider the trade-off between minimizing energy consumption and maximizing network throughput. In this paper, balancing multicast routing metrics is considered for WSNs in which the route selection is based on nodes’ remaining energy and hop count metrics. In addition, the advisor node of a multicast group is periodically changed every predefined time interval to achieve more energy balancing., The performance of the proposed scheme is evaluated and compared with the existing multicast routing protocols using NS2 in terms of network lifetime, network throughput, packet delivery ratio, end-to-end delay and network control overhead which the impact of traffic load, node density, noise level, and mobility models are taken into account. The results show that the performance of the proposed scheme is better than the performance of existing schemes.

Published in Advances in Networks (Volume 4, Issue 2)
DOI 10.11648/j.net.20160402.12
Page(s) 21-33
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), 2024. Published by Science Publishing Group

Keywords

Wireless Sensor Networks, Multicast Routing, Balanced Metrics, Node Energy, Hop Count, Network Lifetime

References
[1] A. Pullin, and C. Pattinson, "A Realistic Battlefield Model for the Evaluation of MANET," Wireless on Demand Network Schemes and Services, pp. 81-84, 2008.
[2] R. Vaishampayan, and J. Garcia-Luna-Aceves, "Efficient and Robust Multicast Routing in Mobile Ad Hoc Networks," IEEE International Conference on Mobile Ad-Hoc and Sensor Schemes, p. 304–313, 2004.
[3] S. Lee, W. Su, and M. Gerla, "On-demand multicast routing protocol in multihop wireless mobile networks," Mobile Networks and Applications, vol. 7, no. 6, pp. 441-453, 2002.
[4] E. Royer, and C. Perkins, draft-ietf-manet-aodv-00-" Multicast Ad hoc On-Demand Distance Vector (MAODV) Routing," http://tools.ietf.org/html/draft-ietf-manet-maodv-00, 2000.
[5] N. Wang, "Power-aware dual-tree-based multicast routing protocol for mobile ad hoc networks," IET Communications, vol. 6, no. 7, p. 724–732, 2012.
[6] S. Bae, S. Lee, W. Su, and M. Gerla, "The design, implementation, and performance evaluation of the on-demand multicast routing protocol in multi-hop wireless networks," IEEE Network: The Magazine of Global Internetworking, vol. 14, no. 1, pp. 70-77, 2000.
[7] K. Oe, A. Koyama, and L. Barolli, "A Multicast Routing Protocol for Wireless Mesh Networks Considering Network Load," Advanced Information Networking and Applications, IEEE 27th International, pp. 591-597, 2013.
[8] J. Garcia-Luna-Aceves, and E. Madruga, "The core-assisted mesh protocol," IEEE Journal on Selected Areas in Communications, vol. 17, no. 8, pp. 1380-1394, 2006.
[9] J. Xie, R. Talpade, A. McAuley, and M. Liu, "AMRoute: Ad Hoc Multicast Routing Protocol," Mobile Networks and Applications, vol. 7, p. 429–439, 2002.
[10] V. Devarapalli, and D. Sidhu, "MZR: a multicast protocol for mobile ad hoc networks," Communications, 2001. ICC 2001. IEEE International, pp. 886-898, 2001.
[11] T. Pusateri, "Distance Vector Multicast Routing Protocol," in Juniper Networks, 2004.
[12] S. Moh, S. Lee, and C. Yu, "Adaptive multicast on mobile ad hoc networks using tree-based meshes with variable density of redundant paths," Wireless Networks, vol. 15, no. 8, pp. 1029-1041, 2009.
[13] C. Wu, and Y. Tay, "AMRIS: A multicast protocol for ad hoc wireless networks," in IEEE Military Communications Conference MILCOM, Atlantic City, USA, 1999.
[14] J. Jetcheva, and D. Johnson, "Adaptive Demand-Driven Multicast Routing in Multi-Hop Wireless Ad Hoc Networks," ACM international symposium on Mobile ad hoc networking & computing, pp. 33-44, 2001.
[15] C. Perkins, E. Royer, and S. Das, draft-ietf-manet-aodv-05.txt "Ad hoc On-Demand Distance Vector (AODV) Routing," https://tools.ietf.org/html/draft-ietf-manet-aodv-05, 2000.
[16] X. Wei., G. Chen, W. Yingyu, and F. Mtenzi, "Optimized priority based energy efficient routing algorithm for mobile ad hoc networks," Ad Hoc Networks Journal, vol. 2, no. 3, pp. 231-239, 2004.
[17] M. Morteza, and P. Massoud, "Lifetime-aware multicast routing in wireless ad hoc networks," IEEE Wireless Communication and Networking, vol. 3, pp. 1317-1323, 2004.
[18] NC. Wang, and Y. Su, "A power-aware routing protocol for mobile ad hoc networks with mobility prediction," IEEE conference on Local Computer Networks, pp. 408-418, 2005.
[19] R. Manoharan, P. Thambidurai, and S. Lakshmana-Pandian, "Energy efficient Robust On-Demand Multicast Routing Protocol for MANETs," International Journal of Ad Hoc and Ubiquitous Computing, vol. 3, no. 2, pp. 90-98, 2008.
[20] M. S. Gharajeh, "Avoidance of the energy hole in wireless sensor networks using a layered-based routing tree," International Journal of Systems, Control and Communications, vol. 7, no. 2, pp. 116-131, 2016.
[21] "The Network Simulator 2," [Online]. Available: http://www.isi.edu/nsnam/ns/.
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  • APA Style

    Abdelrahman S. Halawa, Salah M. Abdel-Mageid. (2016). Balanced Multicast Routing Performance in Autonomous Sensor Networks. Advances in Networks, 4(2), 21-33. https://doi.org/10.11648/j.net.20160402.12

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    ACS Style

    Abdelrahman S. Halawa; Salah M. Abdel-Mageid. Balanced Multicast Routing Performance in Autonomous Sensor Networks. Adv. Netw. 2016, 4(2), 21-33. doi: 10.11648/j.net.20160402.12

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    AMA Style

    Abdelrahman S. Halawa, Salah M. Abdel-Mageid. Balanced Multicast Routing Performance in Autonomous Sensor Networks. Adv Netw. 2016;4(2):21-33. doi: 10.11648/j.net.20160402.12

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  • @article{10.11648/j.net.20160402.12,
      author = {Abdelrahman S. Halawa and Salah M. Abdel-Mageid},
      title = {Balanced Multicast Routing Performance in Autonomous Sensor Networks},
      journal = {Advances in Networks},
      volume = {4},
      number = {2},
      pages = {21-33},
      doi = {10.11648/j.net.20160402.12},
      url = {https://doi.org/10.11648/j.net.20160402.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20160402.12},
      abstract = {Wireless sensor networks (WSNs) are almost autonomous and dynamic network consisting of a number of wireless nodes with limited energy. Accordingly, multicast routing protocols for WSNs encounter many challenges such as energy limitation, limited bandwidth, and self-configuration when producing multi-hop routes. Most existing multicast routing protocols are designed for ad hoc networks which maximize network throughput regardless energy consumption. However, multicast routing protocols for WSNs must consider the trade-off between minimizing energy consumption and maximizing network throughput. In this paper, balancing multicast routing metrics is considered for WSNs in which the route selection is based on nodes’ remaining energy and hop count metrics. In addition, the advisor node of a multicast group is periodically changed every predefined time interval to achieve more energy balancing., The performance of the proposed scheme is evaluated and compared with the existing multicast routing protocols using NS2 in terms of network lifetime, network throughput, packet delivery ratio, end-to-end delay and network control overhead which the impact of traffic load, node density, noise level, and mobility models are taken into account. The results show that the performance of the proposed scheme is better than the performance of existing schemes.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Balanced Multicast Routing Performance in Autonomous Sensor Networks
    AU  - Abdelrahman S. Halawa
    AU  - Salah M. Abdel-Mageid
    Y1  - 2016/12/21
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    N1  - https://doi.org/10.11648/j.net.20160402.12
    DO  - 10.11648/j.net.20160402.12
    T2  - Advances in Networks
    JF  - Advances in Networks
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    UR  - https://doi.org/10.11648/j.net.20160402.12
    AB  - Wireless sensor networks (WSNs) are almost autonomous and dynamic network consisting of a number of wireless nodes with limited energy. Accordingly, multicast routing protocols for WSNs encounter many challenges such as energy limitation, limited bandwidth, and self-configuration when producing multi-hop routes. Most existing multicast routing protocols are designed for ad hoc networks which maximize network throughput regardless energy consumption. However, multicast routing protocols for WSNs must consider the trade-off between minimizing energy consumption and maximizing network throughput. In this paper, balancing multicast routing metrics is considered for WSNs in which the route selection is based on nodes’ remaining energy and hop count metrics. In addition, the advisor node of a multicast group is periodically changed every predefined time interval to achieve more energy balancing., The performance of the proposed scheme is evaluated and compared with the existing multicast routing protocols using NS2 in terms of network lifetime, network throughput, packet delivery ratio, end-to-end delay and network control overhead which the impact of traffic load, node density, noise level, and mobility models are taken into account. The results show that the performance of the proposed scheme is better than the performance of existing schemes.
    VL  - 4
    IS  - 2
    ER  - 

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Author Information
  • Systems and Computers Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt

  • Systems and Computers Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt

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