The emergence of a networking primitive in wireless sensor networks

Author:

Levis Philip1,Brewer Eric2,Culler David2,Gay David2,Madden Samuel3,Patel Neil1,Polastre Joe4,Shenker Scott2,Szewczyk Robert4,Woo Alec5

Affiliation:

1. Stanford University, Stanford, CA

2. U.C. Berkeley, Berkeley, CA

3. MIT CSAIL, Cambridge, MA

4. Sentilla Corporation, Redwood City, CA

5. Arch Rock Corporation, San Francisco, CA

Abstract

The wireless sensor network community approached networking abstractions as an open question, allowing answers to emerge with time and experience. The Trickle algorithm has become a basic mechanism used in numerous protocols and systems. Trickle brings nodes to eventual consistency quickly and efficiently while remaining remarkably robust to variations in network density, topology, and dynamics. Instead of flooding a network with packets, Trickle uses a "polite gossip" policy to control send rates so each node hears just enough packets to stay consistent. This simple mechanism enables Trickle to scale to 1000-fold changes in network density, reach consistency in seconds, and require only a few bytes of state yet impose a maintenance cost of a few sends an hour. Originally designed for disseminating new code, experience has shown Trickle to have much broader applicability, including route maintenance and neighbor discovery. This paper provides an overview of the research challenges wireless sensor networks face, describes the Trickle algorithm, and outlines several ways it is used today.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference25 articles.

1. Arch Rock Corporation. An IPv6 Network Stack for Wireless Sensor Networks. http://www.archrock.com. Arch Rock Corporation. An IPv6 Network Stack for Wireless Sensor Networks. http://www.archrock.com.

2. A high-throughput path metric for multi-hop wireless routing

3. Crossbow Inc. Mote in Network Programming User Reference. http://webs.cs.berkeley.edu/tos/tinyos-1.x/doc/Xnp.pdf. Crossbow Inc. Mote in Network Programming User Reference. http://webs.cs.berkeley.edu/tos/tinyos-1.x/doc/Xnp.pdf.

4. Epidemic algorithms for replicated database maintenance

5. A reliable multicast framework for light-weight sessions and application level framing

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