Efficient matrix multiplication on wireless sensor networks

Hong Shen, Jing Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Wireless Sensor Networks (WSN for short) have been widely used for data collecting and processing in various applications. This paper studies the problem of how to efficiently realize matrix multiplication on a WSN. Based on a widely accepted model of WSNs, we show the lower bound on the number of parallel steps needed by any algorithm for nxn matrix multiplication on a WSN of n2 sensors with transmission radius r. We then present two parallel algorithms for matrix multiplication on a WSN which have the same time complexity as the lower bound. For both algorithms we analyze their main performance parameters including time cost, memory cost and energy-efficiency in detail.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Grid and Cooperative Computing, GCC 2008
Pages331-341
Number of pages11
DOIs
Publication statusPublished - 2008
Event7th International Conference on Grid and Cooperative Computing, GCC 2008 - Shenzhen, China
Duration: 24 Oct 200826 Oct 2008

Publication series

NameProceedings - 7th International Conference on Grid and Cooperative Computing, GCC 2008

Conference

Conference7th International Conference on Grid and Cooperative Computing, GCC 2008
Country/TerritoryChina
CityShenzhen
Period24/10/0826/10/08

Keywords

  • Energy efficiency
  • Matrix mulplication
  • Parallel algorithms
  • Space complexity
  • Time complexity
  • Wireless sensor network

Fingerprint

Dive into the research topics of 'Efficient matrix multiplication on wireless sensor networks'. Together they form a unique fingerprint.

Cite this