Sensor Networks with Random Links: Topology Design for Distributed Consensus — Resource Location

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A 30-page paper on designing sensor-network topology for faster consensus under random link failures and communication costs. Purchase reveals its verified preserved PDF location.

Description

TL;DR: A pre-Bitcoin distributed-systems study that treats unreliable network links, limited resources, and consensus convergence as one topology-design problem.

About This Document

Soummya Kar and José M. F. Moura model a sensor network as a random graph whose communication links can fail. They establish convergence conditions for average consensus, including a requirement that the mean graph have positive algebraic connectivity. The authors then formulate topology design under communication-cost and budget constraints as a convex optimization problem and use numerical experiments to compare convergence speed and cost.

Why Bitcoin People May Care

This is not a Bitcoin or blockchain paper. It supplies older mathematical context for a problem decentralized ledgers also face: participants must coordinate while links fail and communication is not free. Bitcoin uses different consensus goals and an adversarial economic model, so the value here is comparison, not a claim that sensor averaging explains proof of work.

What You Receive

Purchase reveals the verified preserved PDF location for this document.

Document Details

  • Title: Sensor Networks with Random Links: Topology Design for Distributed Consensus
  • Author / organization: Soummya Kar and José M. F. Moura
  • Year: 2007 preprint
  • Language: English
  • Document type: Research paper
  • Pages: 30

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