1 / 1

IN23A-1072: Life Under Your Feet: A Wireless Soil Ecology Sensor Network

IN23A-1072: Life Under Your Feet: A Wireless Soil Ecology Sensor Network K. Szlavecz 1 , A. Terzis 1 , R. Musaloiu 1 , A. Szalay 1 , J. Gupchup 1 , C.-J. Liang 1 , L. Xia 1 , J. Cogan 1 , J. Silverman 1 , C. Swarth 2 , S. Matthews 2 , E. Ellis 3

tola
Télécharger la présentation

IN23A-1072: Life Under Your Feet: A Wireless Soil Ecology Sensor Network

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. IN23A-1072: Life Under Your Feet: A Wireless Soil Ecology Sensor Network K. Szlavecz1, A. Terzis1, R. Musaloiu1, A. Szalay1, J. Gupchup1, C.-J. Liang1, L. Xia1, J. Cogan1, J. Silverman1, C. Swarth2, S. Matthews2, E. Ellis3 1The Johns Hopkins University 2Jug Bay Wetlands Sanctuary, MD, 3University of Maryland, Baltimore County Sensor Network Technology Timestamp Reconstruction Architecture “Koala” is an ultra efficient data retrieval system designed specifically for long term environmental monitoring networks such as ours. Sensor Networks run on a fixed power budget . Koala is specifically optimized to minimize the amount of radio communication thereby minimizing power cost and facilitating periodic data downloads • No Time-Synchronization (save power) • Measurements as Local Timestamps • Post Mortem Timestamp Reconstruction • Algorithm is robust to Mote Reboots, Gateway Failures • 6-hour data downloads • Ultra-Efficient data collection protocol (Koala) • Data Authentication protected using SHA-1 • 2-phase Data Loading Pipeline • Deployment Specific Phase “Stage” • Deployment Independent Phase “Science” • Health Monitoring Report Generation System Koala • Per-mille (0.1%) duty-cycles • Bulk download of data • Low Power Probing (LPP) : efficient network wake up • Flexible Control Protocol (FCP) : Network Discovery and download Data Access • Data available using Microsoft SenseWeb • Download data from Website http://www.lifeunderyourfeet.org/ Jug bay Deployment • Deployment Details • Period : July 29 – present • Stations: 31 • Location: Carney, MD (co-located) near a CO2 flux tower • Sensors • Soil CO2 • Soil {Temperature, Moisture} • Ambient {Temperature, Light, Humidity} • Deployment Details • Period : July 13, 2008 – present • Stations: 19 • Location: JHU, Baltimore MD • Sensors • Soil {Temperature, Moisture} • Ambient {Temperature, Light, Humidity} • Vaisala WXT Weather Station • Deployment Details • Period : June 25 – Nov 2008 • Stations: 7 • Location: Jug Bay Wetlands Sanctuary, MD • Sensors: • Soil {Temperature, Moisture} • Ambient {Temperature, Light, Humidity} RB 1 RB 2 BT 2 BT 1 Motivation • Koala and the 2-phase loading architecture were exhaustively tested in this deployment • What is the spatial pattern of soil moisture and temperature in different microhabitats? • Does earthworm distribution reflect this pattern? Motivation BT1 – Hatched : Sep 27th 2008 RB1 – Hatched : Sep 27th 2008 July Jul Aug Aug Sep Oct 15 30 15 30 15 5 • Gender of turtles is determined by temperature during incubation of eggs • Global warming may affect hatching success and sex ratio • This is part of a larger turtle monitoring study in Maryland Cub Hill Deployment July Jul Aug Aug Sep Oct 15 30 15 30 15 5 Olin Deployment Motivation Understanding coupled carbon and water cycle in urban ecosystems (The Baltimore Ecosystem Study LTER, www.beslter.org) The effect of land use, land cover and land management on soil characteristics and soil biogeochemical processes 30 25 20 10 Earthworm Density (ind/m2) Earthworm Biomass (g/m2) Soil Temperature Volumetric Soil Water Content July Jul Aug Aug Sep Oct 15 30 15 30 15 5 July Jul Aug Aug Sep Oct 15 30 15 30 15 5 BT2 – Hatched : Oct 1st 2008 RB2 – No hatchlings This study was supported by: Microsoft Research, NSF EEC-0540832 (MIRTHE-ERC), NSF DEB-0423976, DHS N00014-D6-1-0991(PACER)

More Related