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Transcript of Wireless Sensor Networks Smart Environments: Technologies, Protocols, and Applications ed. D.J. Cook...
Wireless Sensor Networks
Smart Environments: Technologies, Protocols, and Applicationsed. D.J. Cook and S.K. Das, John Wiley, New York, 2004.
B.Devi8986402207.06.2010
Introduction
Communication Networks
Network Topology Communication Protocols and Routing Power Management Network Structure Historical Development and Standards
Wireless sensor networks IEEE 1451 and Smart Sensors Transducers and Physical Transduction Principles Sensors for Smart Environments Commercially Available Wireless Sensor Systems
Signal processing and decision making Building and Home Automation Conclusion
Synopsis
INTRODUCTION
Sensory data comes from multiple sensors of different modalities in distributed locations.
The smart environment needs information about its surroundings as well as about its internal workings
The challenges in the hierarchy of: Detecting the relevant quantities, monitoring and collecting the data, assessing and evaluating the information, formulating meaningful user displays, and performing decision-making and alarm functions are enormous.
The information needed by smart environments is provided by Distributed Wireless Sensor Networks, which are responsible for sensing as well as for the first stages of the processing hierarchy.
The study of wireless sensor networks is challenging in that it requires an enormous breadth of knowledge from an enormous variety of disciplines.
In this we outline communication networks, wireless sensor networks and smart sensors, physical transduction principles, commercially available wireless sensor systems, signal processing and decision-making, and finally some concepts for home automation.
COMMUNICATION NETWORKS
Network Topology
Communication Protocols and Routing
The topics of communication protocols and routing are complex and require much study. Some basics useful for understanding sensor nets are presented here.
HeadersSwitching Multiple Access Protocols Flow Control Routing Fixed routing schemes Adaptive routing schemes Deadlock and Livelock Open Systems Interconnection Reference Model (OSI/RM)
Open Systems Interconnection Reference Model (OSI/RM)
Power Management
MEMS power generator MEMS fabrication layout of power generator
Multicast Systems
Multicast routing improves efficiency and reduces message path length
Network Structure
Historical Development and Standards
Ethernet
Token Ring
Gigabit Ethernet
Client-Server networks
Peer-to-Peer networking
Peer-to-Peer Computing
802.11 Wireless Local Area Network
Bluetooth
Home RF
WIRELESS SENSOR NETWORKS
Desirable functions for sensor nodes include:
Ease of installation
Self-identification
Self-diagnosis
Reliability
Time awareness for coordination with other nodes
Some software functions and DSP
Standard control protocols
Network interfaces
Basic architecture of IEEE 1451
A general model of a smart sensor [IEEE 1451 Expo, Oct. 2001]
Transducers and Physical Transduction Principles
A transducer is a device that converts energy from one domain to another. In our application, it converts the quantity to be sensed into a useful signal that can be directly measured and processed.
Sensory Transducer
Sensory transduction may be carried out using physical principles, some of here
Mechanical Sensors include :
The Piezoresistive Effect
The Piezoelectric Effect
Tunneling Sensing
Capacitive Sensors
Magnetic and Electromagnetic Sensors include:
Magnetic Field Sensors
Eddy-Current Sensors
Thermal Sensors
Thermo-Mechanical Transduction
Thermocouples
Resonant Temperature Sensors
Sensors for Smart Environments
Commercially Available Wireless Sensor Systems
Berkeley Crossbow Motes
Microstrain Wireless Sensors
SIGNAL PROCESSING AND DECISION-MAKING
The IEEE 1451 Smart Sensor includes basic blocks for signal conditioning (SC), digital signal processing (DSP).
Signal conditioning (SC): SC is performed using electronic circuitry, which may conveniently be built using standard VLSI fabrication techniques in situ with MEMS sensors.
Digital signal processing (DSP): Sensor fusion is important in a network of sensors of different modalities. A distributed vehicle/personnel surveillance network might include seismic, acoustic, infrared motion, temperature, and magnetic sensors. The standard DSP tool for combining the information from many sensors
Building and Home Automation
Smart Home Networks
CONCLUSION
A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants.
The development of wireless sensor networks was motivated by military applications such as battlefield surveillance.
They are now used in many industrial and civilian application areas, including industrial process monitoring and control, machine health monitoring, environment and habitat monitoring, healthcare applications, home automation, and traffic control.