• DocumentCode
    653239
  • Title

    AMPS: An Adaptive Message Push Strategy for Ubiquitous Terminals

  • Author

    Kehua Guo ; Yongling Liu ; Jianhua Ma

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    731
  • Lastpage
    736
  • Abstract
    Message push is an important communication pattern in Internet of Things and social computing. Based on the consideration of the device diversity, energy consumption, network load and timely delivery in ubiquitous terminals, this paper proposes an adaptive strategy named AMPS (Adaptive Message Push Strategy) for the message push in ubiquitous network. In this strategy, the running parameters of ubiquitous terminal are obtained to determine the message push mode, and then the dispatching module will automatically convert the communication pattern between polling-based and connection-based approach. Experiment results show that AMPS can solve the terminal diversity problem, ensure the message timely delivery, save the energy and reduce the network load in comparison with some traditional message push strategies.
  • Keywords
    Internet of Things; electronic messaging; energy conservation; energy consumption; social networking (online); AMPS; Internet of Things; adaptive message push strategy; communication pattern; connection-based approach; device diversity; dispatching module; energy consumption; energy saving; message push mode; message timely delivery; network load reduction; polling-based approach; social computing; terminal diversity problem; ubiquitous network; ubiquitous terminals; Delays; Dispatching; Energy consumption; Operating systems; Servers; Smart phones; Internet of Things (IoT); message push; push strategy; social computing; ubiquitous terminal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.132
  • Filename
    6682146