Optimal real-time sampling rate assignment for wireless sensor networks

Xue Liu, Qixin Wang, Wenbo He, Marco Caccamo, Lui Sha

Research output: Contribution to journalArticlepeer-review

Abstract

How to allocate computing and communication resources in a way that maximizes the effectiveness of control and signal processing, has been an important area of research. The characteristic of a multi-hop Real-Time Wireless Sensor Network raises new challenges. First, the constraints are more complicated and a new solution method is needed. Second, a distributed solution is needed to achieve scalability. This article presents solutions to both of the new challenges. The first solution to the optimal rate allocation is a centralized solution that can handle the more general form of constraints as compared with prior research. The second solution is a distributed version for large sensor networks using a pricing scheme. It is capable of incremental adjustment when utility functions change. This article also presents a new sensor device/network backbone architecture-Real-time Independent CHannels (RICH), which can easily realize multi-hop real-time wireless sensor networking.

Original languageEnglish (US)
Pages (from-to)263-295
Number of pages33
JournalACM Transactions on Sensor Networks
Volume2
Issue number2
DOIs
StatePublished - Aug 14 2006

Keywords

  • Distributed algorithms
  • Optimization
  • Pricing
  • Real-time wireless sensor network
  • Sensor network

ASJC Scopus subject areas

  • Computer Networks and Communications

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