web service-based remote monitoring system for smart home space sheng cai joshua ferguson xinhui hu...
TRANSCRIPT
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Web Service-Based Remote Monitoring System for Smart Home Space
Sheng Cai Joshua Ferguson Xinhui Hu Wei Wu
Project for CSE535 Mobile Computing
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Outline
2
ConclusionConclusion
ResultsResults
ApplicationApplication
IntroductionIntroduction
System StructureSystem Structure
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Introduction
• Smart Home Space– wireless sensor network deployed in home environment
– monitoring the home space
– query the specific type of data
– control home appliance
• Motivation– remotely obtain the sensed data
– retrieve the data pervasively
– apply our system framework for extended functions
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System Framework
Home Space
Sensor
SensorSensor
Home Gateway
Internet
Mobile User
Web Service
DatabaseJDBC
PHP
Mysql
Tinyos
Tinyos Tinyos
JAVA
Web Browser
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System Framework• Leverage our previous knowledge to pervasive monitoring
• Web service– user based, require user name and password to login– generate user’s request for specific type of data, e.g. temperature– query the requested information and display it
• Home gateway– handoff between home network inside the home space and internet
outside– combined with database, mysql– functions of database
• store the data transferred from sensors• send user’s request
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Example
1. user login 2. choose the first option
3. choose data type4. request generation
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Example
1. user login 2. choose the second option
3. browse the sent request
Two steps:1. Value attribute is firstly set to be
NULL.2. After obtaining the value from
sensors, NULL value will be updated.
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Application1Data Gathering Schemes
• Reduce sensing times finally reduce energy consumption.
Sensi ng I nterval
1. Fi xed Frequency Data Gatheri ng Scheme
Sensi ng I nterval
. . .
TD 2TD 3TD MaxTD TD
MaxTemp-MinTemp>TemD
2. Energy-aware data gathering with dynamic frequency scheme
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Results
• Energy-aware data gathering with dynamic frequency scheme
200 400 600 800 1000 1200 14000.7
0.75
0.8
0.85
0.9
0.95
1
MaxTD
Ps
TD=30
TD=10
TD=5
0 50 100 150 200 250 300 350 400 4500.5
0.6
0.7
0.8
0.9
1
TD
Ps
MaxTD=1440
MaxTD=2400
MaxTD=2400
gathering data of our scheme 21 1
gathering data with fixed frequency
TD MaxTD TDPs
MaxTD TD MaxTD TD
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Application2Temperature Control
• Adaptive and Intelligent:– Using the control orders and the owner’s custom in
the database, the controller could automatically executes to make the environment to fit owner’s customs.
BaseStation
Control System
Sensers
actuators
actuators
Blinds
VAV air-conditions
Indoor Environments
Set temperature
Control Value
Environment Values
solar radiation
air volume
Threshold
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Simulation and Results• Room Model:
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Question?