1 / 8

Paper by David Culler, Philip Levis, Neil Patel, and Scott Shenker Presented by: Lee Hathcock

Paper by David Culler, Philip Levis, Neil Patel, and Scott Shenker Presented by: Lee Hathcock. Trickle: A Self-Regulating Algorithm for Code Propagation and Maintenance in Wireless Sensor Networks. The Problem. Code propagation in WSNs is costly

Télécharger la présentation

Paper by David Culler, Philip Levis, Neil Patel, and Scott Shenker Presented by: Lee Hathcock

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Paper by David Culler, Philip Levis, Neil Patel, and Scott Shenker Presented by: Lee Hathcock Trickle: A Self-Regulating Algorithm for Code Propagation and Maintenance in Wireless Sensor Networks

  2. The Problem • Code propagation in WSNs is costly • Desire an algorithm for scheduling code propagation • Low maintenance • Rapid propagation • Scalable • The solution? Trickle, of course. • Few packets per hour, propagates in tens of seconds, scales well, robust, and only 11 bytes of state info

  3. Trickle Overview • Every once in a while, a node transmits code “metadata” that represents its current code, provided it hasn’t heard the same data recently. • Either all nodes are up to date, or… • …a node needs to be updated. • If a node needs to be updated, it happens by either… • …a node hearing that it is out of date, and broadcasts its metadata so it can be updated, or… • …a node hears that another node is out of date, and sends an update to the code.

  4. Trickle Algorithm • “Polite gossip” • Parameters • c: a counter, incremented each time a node hears its own metadata • k: a threshold, usually between 1 and 2 • t: a timer value, between the range of 0- • : a time constant

  5. Algorithm Analysis • k*m packet transmissions, but only under the following assumptions • No packet loss • Perfect interval synchronization • Single hop network • Relax each of these constraints

  6. Algorithm Analysis

  7. Conclusions • Related work • SPIN, SPIN-RL • SRM • Demers et al. • PlanetP • Reijers et al. • Assumes nodes always on • More of a scheduler than anything • As such, can be used for more than code propagation

  8. References • P. Levis, N. Patel, D. Culler, and S. Shenker, "Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks," NSDI, 2004.

More Related