structure of wireless sensors network based on tinyos
DESCRIPTION
Shahin Farshchi, Member, IEEE, Aleksey Pesterev, Paul Nuyujukian, Eric Guenterberg, Istvan Mody, and Jack W. Judy, Senior Member, IEEE, ” Structure of Wireless Sensors Network Based on TinyOS” IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 18, NO. 2, APRIL 2010. - PowerPoint PPT PresentationTRANSCRIPT
Shahin Farshchi, Member, IEEE, Aleksey Pesterev, Paul Nuyujukian, Eric Guenterberg, Istvan Mody, and Jack W. Judy, Senior Member, IEEE,
” Structure of Wireless Sensors Network Based on TinyOS”IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 18, NO. 2, APRIL 2010
Presenter: Shao-Kai Liao
Adviser: Tsung-Fu Chien
Date: 12.7.2011
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OutlineOutline
IntroductionIntroduction
PurposePurpose
Methods & Methods & MaterialsMaterials
ConclusionsConclusions
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IntroductionIntroduction Structure of Wireless Sensor Network (WSN)
MEMS (Micro Electro Mechanical Systems)
Embedded system
Wireless communication
Distributed processing
Sensor technology
微機電系統 ( Micro Electro Mechanical Systems ， MEMS) 無線感測器網絡（ Wireless Sensor Network ， WSN ）
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IntroductionIntroduction
Application of Wireless Sensor Network
High application values in domains of military, medical, industrial, agriculture and environmental monitoring.
Development and application profound influence will be generated to every domain of human-being.
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PurposePurpose
Advantages of Telosb nodeLow cost.Low power consumption.Small size.The structure of wireless sensor network directly
affects system performance.
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Methods & Methods & MaterialsMaterials Architecture
Hardware
○ Self-organizing and multi-hop network.
○ A large numbers of sensor nodes.
○ Monitor the information comprehensively and in time.
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Specifcation of Crossbow’s TelosB mote
IEEE 802.15.4 compliant 250 kbps, high data rate radio TI MSP430 microcontroller with 10kB RAM Integrated onboard antenna Data collection and programming via USB interface Open-source operating system
Methods & Methods & MaterialsMaterials
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Methods & Methods & MaterialsMaterials
TelosbTwo major goals: ○ Easy to use○ Minimal power consumption(sleep quickly)
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Methods & Methods & MaterialsMaterials
The composition of the nodeSensor moduleProcessor moduleRadio moduleEnergy supply module
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Methods & Methods & MaterialsMaterials
Distributed nodes
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Methods & Methods & MaterialsMaterials
The characteristics of node
Since wireless sensor nodes are used to monitor.
The node cost and energy supplies seem worthy of consideration.
The transmission distance and the number of nodes must be balance.
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Methods & Methods & MaterialsMaterials Architecture
Software
○ Sleep and wakeup modes.
○ Concurrent tasks.
○ Programming interface and platforms.
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Methods & Methods & MaterialsMaterials
TinyOS A open-source lightweight operating system.
Specifically designed for low-power wireless sensors.
Implemented by NesC
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Methods & Methods & MaterialsMaterials
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Data Memory ModelSTATIC memory allocation!○ No function pointers
Global variables○ Available on a per-frame basis
Local variables○ Saved on the stack
Methods & Methods & MaterialsMaterials
NesCC dialect with features to reduce RAM and code size.
Programmers can define new components using a C - like syntax.
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Methods & Methods & MaterialsMaterials
Interfaces Two kinds of functions: ○ Commands ○ Events
Users can call commands.
Providers can signal events.
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Methods & Methods & MaterialsMaterials
Components Two types of components in nesC :○ Modules○ Configurations.
A NesC application consists of one or more components assembled, or wired, to form an application executable.
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Methods & Methods & MaterialsMaterials
Execution Model Interrupting tasks at any time.
A task posted are executed later.
A task a lightweight deferred procedure call.
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ConclusionsConclusions Analyzing wireless sensor node telosb and the
operating system TinyOS.
TinyOS is specifically designed for low-power wireless sensors
The telosb node with low cost, low power consumption and small size,
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Thank You For Your Attention
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