• DocumentCode
    1770402
  • Title

    Evaluation of an efficient Smart Grid communication system at the neighbor area level

  • Author

    Rajalingham, Gowdemy ; Quang-Dung Ho ; Tho Le-Ngoc

  • fYear
    2014
  • fDate
    10-13 Jan. 2014
  • Firstpage
    426
  • Lastpage
    431
  • Abstract
    The successful implementation of Smart Grid (SG) requires an efficient communication infrastructure that is cost-effective, scalable and fault-tolerant. This paper aims to study and develop relevant networking techniques for an efficient and reliable SG Communication Network (SGCN). In particular, we propose a viable communication architecture for the interconnection of different radio access technologies along the separate segments of the SGCN. Specifically, WiFi mesh network at the Neighbor Area Network (NAN) level with LTE at the Wide Area Network (WAN) level. Based on this architecture, the performance, transmission latency and Packet Delivery Ratio (PDR), of geographic routing in the NAN segment is considered. Specifically, the scaling of system performance when per-smart-meter data rate, channel shadowing level and the number of smart meters per collector increases is investigated. The results presented in this study can then serve as important guidelines for the design and development of relevant communication infrastructures for SGs.
  • Keywords
    Long Term Evolution; telecommunication power supplies; wide area networks; wireless LAN; LTE; NAN; SG communication network; WiFi mesh network; channel shadowing level; efficient smart grid communication system; neighbor area level; neighbor area network level; per-smart-meter data rate; viable communication architecture; wide area network level; IEEE 802.11 Standards; Long Term Evolution; Reliability; Shadow mapping; Smart grids; Throughput; Wide area networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-2356-4
  • Type

    conf

  • DOI
    10.1109/CCNC.2014.6866605
  • Filename
    6866605