A two-tier data dissemination model for large-scale wireless sensor networks

  • Authors:

  • Fan Ye;Haiyun Luo;Jerry Cheng;Songwu Lu;Lixia Zhang

  • Affiliations:

  • UCLA Computer Science Department, Los Angeles, CA;UCLA Computer Science Department, Los Angeles, CA;UCLA Computer Science Department, Los Angeles, CA;UCLA Computer Science Department, Los Angeles, CA;UCLA Computer Science Department, Los Angeles, CA

  • Venue:
  • Proceedings of the 8th annual international conference on Mobile computing and networking
  • Year:
  • 2002

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Abstract

Sink mobility brings new challenges to large-scale sensor networking. It suggests that information about each mobile sink's location be continuously propagated through the sensor field to keep all sensor nodes updated with the direction of forwarding future data reports. Unfortunately frequent location updates from multiple sinks can lead to both excessive drain of sensors' limited battery power supply and increased collisions in wireless transmissions. In this paper we describe TTDD, a Two-Tier Data Dissemination approach that provides scalable and efficient data delivery to multiple mobile sinks. Each data source in TTDD proactively builds a grid structure which enables mobile sinks to continuously receive data on the move by flooding queries within a local cell only. TTDD's design exploits the fact that sensor nodes are stationary and location-aware to construct and maintain the grid structures with low overhead. We have evaluated TTDD performance through both analysis and extensive simulation experiments. Our results show that TTDD handles multiple mobile sinks efficiently with performance comparable with that of stationary sinks.