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Differentiated Service for Smart Grid Neighbourhood Area Networks via Optimal Resource Allocation

Received: 11 August 2013    Accepted:     Published: 20 September 2013
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Abstract

Smart grid is a modern electric system which uses advanced information and communication technologies to improve efficiency, reliability, and safety in electric power distribution and management. Smart grid communication architecture is typically comprised of three interconnected networks: Wide Area Network (WAN), Neighborhood Area Network (NAN), and Home Area Network (HAN). This paper studies the resource allocation problem for NAN. Specifically, we propose an optimal resource allocation scheme to provide differentiated service, in terms of end-to-end delay, to different classes of traffic in the NAN. The resource allocation problem is formulated into a Linear Programming (LP) problem, which can be solved efficiently. The simulation results demonstrate that the proposed scheme can provide a lower delay to the prioritized class by optimally allocating the resource at each node in the NAN.

Published in International Journal of Sensors and Sensor Networks (Volume 1, Issue 5)
DOI 10.11648/j.ijssn.20130105.12
Page(s) 55-60
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

Quality of Service, Smart Grid, Differentiated Service, Resource Allocation, Neighbourhood Area Network

References
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[3] S. Liao, W. Cheng, W. Liu, and Z. Yang, "Distributed Optimization Based on Utility with Delay Constraints in Wireless Sensor Networks," in Proc. of International Conference on Wireless Communications, Networking and Mobile Computing, Sept. 2009.
[4] L. Shi and A. Fapojuwo, "TDMA Scheduling with Optimized Energy Efficiency and Minimum Delay in Clustered Wireless Sensor Networks," IEEE Transactions on Mobile Computing, pp. 927- 940, Jul. 2010.
[5] K. Daabaj, M. Dixon, T. Koziniec, and D. Murray, "Reliable Data Delivery in Low Energy Ad Hoc Sensor Networks," in Proc. of Asia-Pacific Conference on Communications, pp. 324-329, Mar. 2010.
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[8] S. Darabi, N. Yazdani, and O. Fatemi, "Multimedia-aware MMSPEED: A routing solution for video transmission in WSN," in Proc. of International Symposium on Advanced Networks and Telecommunication Systems, pp. 202-207, Dec. 2008.
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[10] P. Rengaraju, C. Lung, and A. Srinivasan, "Communication Requirements and Analysis of Distribution Networks Using WiMAX Technology for Smart Grids" in Proc. of Wireless Communications and Mobile Computing Conference (IWCMC), Jun. 2012.
[11] R. Brown, "Impact of Smart Grid on distribution system design," in Proc. of IEEE. Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, Jul. 2008.
[12] M. Levorato and U. Mitra, "Optimal Allocation of Heterogeneous Smart grid Traffic to Heterogeneous Networks Communication Networks for Smart Grid," in Proc. of IEEE International Conference on Smart Grid Communications, pp. 132 - 137, Oct. 2011.
[13] M. Lévesque and M. Maier, "The Über-FiWi Network: QoS Guarantees for Triple-Play and Future Smart Grid Applications," in Proc. of International Conference on Transparent Optical Networks, pp.75-81, Jun. 2012.
[14] M. Erol-Kantarci, J. Sarker, and H. Mouftah, "Quality of Service in Plug-in Electric Vehicle Charging Infrastructure," in Proc. of IEEE International Electric Vehicle Conference (IEVC), pp. 301-309, Jan. 2012.
[15] A. Vallejo, A. Zaballos, J. Selga, and J. Dalmau, "Next-Generation QoS Control Architectures for Distribution Smart Grid Communication Networks," IEEE Communications Magazine, vol. 50, pp. 128 - 134, May 2012.
[16] W. Sun, J. Wang, C. Zhang, and Z. Qian, "Research on the wireless ad-hoc network for power distribution network communication in medium-small cities," in Proc. of International Conference on Sustainable Power Generation and Supply. pp.293-299, Apr. 2009.
[17] W. Sun, X. Yuan, J. Wang, D. Han and C. Zhang, "Quality of Service Networking for Smart Grid Distribution Monitoring," in Proc. of IEEE International Conference on Smart Grid Communications (SmartGridComm), pp.293-299, Oct. 2010.
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Cite This Article
  • APA Style

    Yifeng He, Mohammad Shams Yazdi. (2013). Differentiated Service for Smart Grid Neighbourhood Area Networks via Optimal Resource Allocation. International Journal of Sensors and Sensor Networks, 1(5), 55-60. https://doi.org/10.11648/j.ijssn.20130105.12

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    ACS Style

    Yifeng He; Mohammad Shams Yazdi. Differentiated Service for Smart Grid Neighbourhood Area Networks via Optimal Resource Allocation. Int. J. Sens. Sens. Netw. 2013, 1(5), 55-60. doi: 10.11648/j.ijssn.20130105.12

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    AMA Style

    Yifeng He, Mohammad Shams Yazdi. Differentiated Service for Smart Grid Neighbourhood Area Networks via Optimal Resource Allocation. Int J Sens Sens Netw. 2013;1(5):55-60. doi: 10.11648/j.ijssn.20130105.12

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  • @article{10.11648/j.ijssn.20130105.12,
      author = {Yifeng He and Mohammad Shams Yazdi},
      title = {Differentiated Service for Smart Grid Neighbourhood Area Networks via Optimal Resource Allocation},
      journal = {International Journal of Sensors and Sensor Networks},
      volume = {1},
      number = {5},
      pages = {55-60},
      doi = {10.11648/j.ijssn.20130105.12},
      url = {https://doi.org/10.11648/j.ijssn.20130105.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20130105.12},
      abstract = {Smart grid is a modern electric system which uses advanced information and communication technologies to improve efficiency, reliability, and safety in electric power distribution and management. Smart grid communication architecture is typically comprised of three interconnected networks: Wide Area Network (WAN), Neighborhood Area Network (NAN), and Home Area Network (HAN). This paper studies the resource allocation problem for NAN. Specifically, we propose an optimal resource allocation scheme to provide differentiated service, in terms of end-to-end delay, to different classes of traffic in the NAN. The resource allocation problem is formulated into a Linear Programming (LP) problem, which can be solved efficiently. The simulation results demonstrate that the proposed scheme can provide a lower delay to the prioritized class by optimally allocating the resource at each node in the NAN.},
     year = {2013}
    }
    

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  • TY  - JOUR
    T1  - Differentiated Service for Smart Grid Neighbourhood Area Networks via Optimal Resource Allocation
    AU  - Yifeng He
    AU  - Mohammad Shams Yazdi
    Y1  - 2013/09/20
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    N1  - https://doi.org/10.11648/j.ijssn.20130105.12
    DO  - 10.11648/j.ijssn.20130105.12
    T2  - International Journal of Sensors and Sensor Networks
    JF  - International Journal of Sensors and Sensor Networks
    JO  - International Journal of Sensors and Sensor Networks
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    PB  - Science Publishing Group
    SN  - 2329-1788
    UR  - https://doi.org/10.11648/j.ijssn.20130105.12
    AB  - Smart grid is a modern electric system which uses advanced information and communication technologies to improve efficiency, reliability, and safety in electric power distribution and management. Smart grid communication architecture is typically comprised of three interconnected networks: Wide Area Network (WAN), Neighborhood Area Network (NAN), and Home Area Network (HAN). This paper studies the resource allocation problem for NAN. Specifically, we propose an optimal resource allocation scheme to provide differentiated service, in terms of end-to-end delay, to different classes of traffic in the NAN. The resource allocation problem is formulated into a Linear Programming (LP) problem, which can be solved efficiently. The simulation results demonstrate that the proposed scheme can provide a lower delay to the prioritized class by optimally allocating the resource at each node in the NAN.
    VL  - 1
    IS  - 5
    ER  - 

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Author Information
  • Electrical and Computer Engineering, Ryerson University, Toronto, Canada

  • Electrical and Computer Engineering, Ryerson University, Toronto, Canada

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