Distributed hash table based ID management optimization for internet of things

  • Authors:
  • Qing Shen;Yu Liu;Zhijun Zhao;Song Ci;Hui Tang

  • Affiliations:
  • Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China and University of Nebraska-Lincoln, Omaha, NE;Chinese Academy of Sciences, Beijing, China

  • Venue:
  • Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
  • Year:
  • 2010

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Abstract

Internet of Things (IoT) is an emerging network which is designed to combine sensor networks and other things with the Internet. IoT includes numerous things, each of which is allocated an unique identity (UID). UID management plays an very important role in guaranteeing the efficiency of IoT system. Since IoT is a task-oriented network, there must be a coupling relation among UIDs. Based on this consideration, a correlated lookup scheme is proposed to improve the performance of UID management. Meanwhile, the Distributed Hash Table (DHT) is adopted as the underlying structure to construct the basic UID management methodology. To the best of our knowledge, it is the first time that the inherent relation is leveraged to improve the efficiency of UID Management. Extensive simulations are conducted to demonstrate the efficiency of the proposed lookup scheme.