Differentiated Context Maintenance and Exchange oriented to Internet of Things

نویسندگان

  • Yuhong Li
  • Theo Kanter
  • Rahim Rahmani
چکیده

Context information can add more meaning and value to the sensor data in Internet of Things. However, due to the large amount of sources of contexts and sensor data, the exchange of contexts through the networks may cause more and more data traffic. This paper proposes a novel method for maintaining and exchanging contexts through the Internet more efficiently. Contexts are classified into different levels. Each level of contexts is maintained and exchanged using different methods. A new protocol for exchanging the contexts is designed. Through the independent transmitting of contexts and sensor data, the context-awareness in Internet of Things can be realized, and the network bandwidth usage can be greatly reduced and thus the energy of node can also be saved.

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تاریخ انتشار 2015