• DocumentCode
    1755265
  • Title

    Aggregation Points Planning in Smart Grid Communication System

  • Author

    Xinxin Huang ; Shaowei Wang

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China
  • Volume
    19
  • Issue
    8
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1315
  • Lastpage
    1318
  • Abstract
    Aggregation Point (AP) in neighborhood area network (NAN) plays a key role on smart grid communication. The AP stores and forwards data stream between home area network (HAN) and wide area network (WAN) in the smart grid. In this letter, we study how to plan the APs in the smart grid to minimize the total deployment cost of the opening APs and the connecting cost between the APs and the HANs while considering the capacity of the APs and the traffic demands of the HANs. Our general formulation leads to an NP-hard problem and an approximation algorithm is developed to address it. Numerical results show that our proposed algorithm has great advantages over other heuristic methods. Furthermore, our proposal gives a performance-guaranteed planning scheme of the APs for smart grid communication.
  • Keywords
    approximation theory; home networks; power engineering computing; smart power grids; telecommunication network planning; wide area networks; HAN; NAN; NP-hard problem; WAN; aggregation point; approximation algorithm; connecting cost; home area network; neighborhood area network; performance-guaranteed planning scheme; smart grid communication; total deployment cost; traffic demands; wide area network; Approximation algorithms; Approximation methods; Optical fibers; Planning; Smart grids; Wide area networks; Aggregation point; Approximation algorithm; Planning; Smart grid communications; approximation algorithm; planning; smart grid communications;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2015.2441722
  • Filename
    7118164