R-sensing:A route solution for wireless sensor measurement system

Chang Chen, Ping Song*, Kejie Li

*Corresponding author for this work

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

Abstract

The application of wireless sensor transient field measurement network trying to get high data sampling rate, high fidelity data by using wireless sensor node, with the constrain of wireless communication bandwidth and energy consumption. Smart and compact routing is a critical issue in this system, which plays a role of middleware in sensor network software architecture. The route select estimator should be provide an appropriate critical reference parameter to route select scheme so that the router could be sensitive enough with the changing of measurement environment and stable enough at the time of data transmitting. Therefore, we proposed R-Sensing as route solution, using exponential weighted moving averaged (EMMA) Receive Signal Strength (RSSI) as critical reference value and minimal spanning tree algorithm as route select mechanism. This protocol is implemented on Bit-Node running TinyOS along with them. The out-door experiment shows that it has an appropriate Package Reception Rate (PRR) via multi-hop routing.

Original languageEnglish
Title of host publicationProceedings - 2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2009
Pages1232-1237
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2009 - Beijing, China
Duration: 27 Oct 200929 Oct 2009

Publication series

NameProceedings - 2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2009

Conference

Conference2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2009
Country/TerritoryChina
CityBeijing
Period27/10/0929/10/09

Keywords

  • EMST
  • Multi-hop
  • Route; RSSI
  • Wireless sensor network

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