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PRESENTED BY,
M. JUNO ISABEL SUSINTHRA
Wireless Sensor Network:
Wireless Sensor Networks consists of individual nodes that are able to interacg with
Environment sensing or controlling Physical parameters.
These nodes have collaborate to fulfill their tasks.
It also known as an actuator networks.
The Vision of Ambient Intelligence:
 Ranging from old-fashioned mainframes to modern laptops or palmtops.
“Ambient Intelligence” where many different devices will gather and process
information from many different sources to both control physical processes and to
interact with human users.
Example:
ubiquitous computing
person-to-person
person-to-machine
machine-to-machine
Physical Features:
Rely on onboard batteries
Acceptable size of an individual node
Acceptable costs of an individual node
Higher accuracy
Pervasive control
To better understand the potential applications
Ensuing requirements
Idea of the enabling technologies
1. Disaster relief applications:
Sensor nodes are equipped with thermometers and can determine their own location
These sensors are deployed over a wildfire, for example, a forest, from an airplane.
They collectively produce a “temperature map” of the area or determine the perimeter
of areas with high temperature.
Firefighters equipped with Personal Digital Assistants (PDAs).
Some of these disaster relief applications have commonalities with military applications,
where sensors should detect.
Disaster relief applications:
2. Environment control and biodiversity mapping:
WSNs can be used to control -
The environment possible application is garbage dump sites.
The surveillance of the marine ground floor.
An understanding of its erosion processes is important for the construction of
offshore wind farms.
To gain an understanding of the number of plantand animal species that live in a
given habitat
Main Advantages:
The long-term,
Unattended,
High Requirements
Environment control and biodiversity mapping:
3. Intelligent buildings:
Inefficient Humidity, Ventilation,Air Conditioning (HVAC) usage.
High-resolution monitoring of temperature.
Humidity.
Airflow.
Increase the comfort level of inhabitants.
Reduce the energy consumption.
Main Advantage:
The collaborative mapping of physical parameters.
Sensors can be retrofitted into existing buildings.
Intelligent buildings:
4. Facility management:
Keyless entry applications where people wear badges that allow a WSN to check which
person is allowed to enter which areas of a larger company site.
Extended to the detection of intruders.
Widearea WSN could track such a vehicle’s position and alert security personnel.
WSN could be used in a chemical plant to scan for leaking chemicals.
Able to operate a long time on batteries.
Facility management:
5. Machine surveillance and preventive maintenance:
To fix sensor nodes to difficult to-reach areas of machinery where they can detect vibration
patterns that indicate the need for maintenance.
Examples:
Robotics or the Axles of Trains.
The Main Advantage:
Cablefree operation.
Avoiding a maintenance problem.
 Allowing a cheap.
Often retrofitted installation of such sensors.
Machine surveillance and preventive maintenance:
6. Precision agriculture:
WSN to agriculture allows precise irrigation and fertilizing by placing humidity/soil compositi
sensors into the fields.
Pest control can profit from a high-resolution surveillance of farm land.
Livestock breeding can benefit from attaching a sensor to each pig or cow, which controls the
health status of the animal
Precision agriculture:
7. Medicine and health care:
Possibilities range from postoperative and intensive care, where sensors are directly attached to
patients
Advantages:
To the long-term surveillance of (typically elderly) patients.
Automatic drug administration.
Raising alarms when drug is applied to the wrong patient.
Patient and doctor tracking systems within hospitals can be literally life saving.
Medicine and health care:
8. Logistics:
It is conceivable to equip goods with simple sensors that allow a simple tracking of these
objects during transportation or facilitate inventory tracking in stores or warehouses.
Much Simpler and cheaper than the active communication and information processing.
It is realized by Radio Frequency Identifier (RFID) tags.
Logistics:
9. Telematics:
Sensors embedded in the streets or roadsides can gather information about traffic
conditions.
Such a roadside is called as “intelligent roadside”.
Sources-the actual nodes that sense data.
Sinks – nodes where the data should be delivered to.
The interaction patterns between sources and sinks show some typical patterns.
Event detection:
Sensor nodes should report to the sink(s) once they have detected the
occurrence of a specified event.
Periodic measurements Sensors can be tasked with periodically reporting
measured values:
Often,these reports can be triggered by a detected event; the reporting period is application
dependent.
Function approximation and edge detection:
WSN can be used to approximate this unknown function, using a limited
number of samples taken at each individual sensor node.
Tracking The source of an event can be mobile:
The WSN can be used to report updates on the event source’s position to the sink(s), potentially
with estimates about speed and direction as well.
Characteristic requirements:
Type of service:
Conventional communication network is evident.
It moves bits from one place to another.
New paradigms of using such a network are required, along with new interfaces and
new ways of thinking about the service of a network.
Quality of Service:
Traditional quality of service requirements.
Bounded delay or minimum bandwidth are irrelevant when applications are
tolerant to latency.
Very high reliability requirements.
The packet delivery ratio is an insufficient metric.
Fault tolerance:
To tolerate node failure, redundant deployment is necessary.
Using more nodes than would be strictly necessary if all nodes functioned correctly.
Lifetime:
Lifetime of a WSN becomes a very important figure of merit.
Investing more energy can increase quality but decrease lifetime.
Definition of lifetime depends on the application at hand.
Scalability:
WSN might include a large number of nodes, the employed architectures and
protocols must be able scale to these numbers.
Wide range of densities:
The number of nodes per unit area, the density of the network can vary considerably.
Different applications will have very different node densities.
Density can vary over time and space because nodes failor move.
Programmability:
Necessary for the nodes to process information
React flexibly on changes in their tasks.
These nodes should be programmable,andtheir programming must be changeable during
operation when new tasks become important.
A fixed way of information processing is insufficient.
Maintainability:
It has to monitor its own health and status to change operational parameters or to choose
different trade-offs
The network has to maintain itself
Able to interact with external maintenance mechanisms to ensure its extended operation at a
required quality
Required mechanisms:
Multihop wireless communication
Energy-efficient operation
Auto-configuration
Collaboration and in-network processing
Data centric
Locality
Exploit trade-offs
Building such wireless sensor networks has only become possible with some fundamental
advances in enabling technologies.
 First and foremost among these technologies is the miniaturization of hardware.
These three basic parts of a sensor node have to accompanied by power supply,
Depending on application.
High capacity batteries that last for long times, that is.
 That can efficiently provide small amounts of current.
Sensor node also has a device for energy scavenging, recharging the battery with
energy gathered from the environment.
Wireless Sensor Networks

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Wireless Sensor Networks

  • 1. PRESENTED BY, M. JUNO ISABEL SUSINTHRA
  • 2.
  • 3. Wireless Sensor Network: Wireless Sensor Networks consists of individual nodes that are able to interacg with Environment sensing or controlling Physical parameters. These nodes have collaborate to fulfill their tasks. It also known as an actuator networks.
  • 4. The Vision of Ambient Intelligence:  Ranging from old-fashioned mainframes to modern laptops or palmtops. “Ambient Intelligence” where many different devices will gather and process information from many different sources to both control physical processes and to interact with human users. Example: ubiquitous computing person-to-person person-to-machine machine-to-machine
  • 5. Physical Features: Rely on onboard batteries Acceptable size of an individual node Acceptable costs of an individual node Higher accuracy Pervasive control To better understand the potential applications Ensuing requirements Idea of the enabling technologies
  • 6.
  • 7. 1. Disaster relief applications: Sensor nodes are equipped with thermometers and can determine their own location These sensors are deployed over a wildfire, for example, a forest, from an airplane. They collectively produce a “temperature map” of the area or determine the perimeter of areas with high temperature. Firefighters equipped with Personal Digital Assistants (PDAs). Some of these disaster relief applications have commonalities with military applications, where sensors should detect.
  • 9. 2. Environment control and biodiversity mapping: WSNs can be used to control - The environment possible application is garbage dump sites. The surveillance of the marine ground floor. An understanding of its erosion processes is important for the construction of offshore wind farms. To gain an understanding of the number of plantand animal species that live in a given habitat Main Advantages: The long-term, Unattended, High Requirements
  • 10. Environment control and biodiversity mapping:
  • 11. 3. Intelligent buildings: Inefficient Humidity, Ventilation,Air Conditioning (HVAC) usage. High-resolution monitoring of temperature. Humidity. Airflow. Increase the comfort level of inhabitants. Reduce the energy consumption. Main Advantage: The collaborative mapping of physical parameters. Sensors can be retrofitted into existing buildings.
  • 13. 4. Facility management: Keyless entry applications where people wear badges that allow a WSN to check which person is allowed to enter which areas of a larger company site. Extended to the detection of intruders. Widearea WSN could track such a vehicle’s position and alert security personnel. WSN could be used in a chemical plant to scan for leaking chemicals. Able to operate a long time on batteries.
  • 15. 5. Machine surveillance and preventive maintenance: To fix sensor nodes to difficult to-reach areas of machinery where they can detect vibration patterns that indicate the need for maintenance. Examples: Robotics or the Axles of Trains. The Main Advantage: Cablefree operation. Avoiding a maintenance problem.  Allowing a cheap. Often retrofitted installation of such sensors.
  • 16. Machine surveillance and preventive maintenance:
  • 17. 6. Precision agriculture: WSN to agriculture allows precise irrigation and fertilizing by placing humidity/soil compositi sensors into the fields. Pest control can profit from a high-resolution surveillance of farm land. Livestock breeding can benefit from attaching a sensor to each pig or cow, which controls the health status of the animal
  • 19. 7. Medicine and health care: Possibilities range from postoperative and intensive care, where sensors are directly attached to patients Advantages: To the long-term surveillance of (typically elderly) patients. Automatic drug administration. Raising alarms when drug is applied to the wrong patient. Patient and doctor tracking systems within hospitals can be literally life saving.
  • 21. 8. Logistics: It is conceivable to equip goods with simple sensors that allow a simple tracking of these objects during transportation or facilitate inventory tracking in stores or warehouses. Much Simpler and cheaper than the active communication and information processing. It is realized by Radio Frequency Identifier (RFID) tags.
  • 23. 9. Telematics: Sensors embedded in the streets or roadsides can gather information about traffic conditions. Such a roadside is called as “intelligent roadside”.
  • 24.
  • 25. Sources-the actual nodes that sense data. Sinks – nodes where the data should be delivered to. The interaction patterns between sources and sinks show some typical patterns. Event detection: Sensor nodes should report to the sink(s) once they have detected the occurrence of a specified event. Periodic measurements Sensors can be tasked with periodically reporting measured values: Often,these reports can be triggered by a detected event; the reporting period is application dependent. Function approximation and edge detection: WSN can be used to approximate this unknown function, using a limited number of samples taken at each individual sensor node. Tracking The source of an event can be mobile: The WSN can be used to report updates on the event source’s position to the sink(s), potentially with estimates about speed and direction as well.
  • 26.
  • 27. Characteristic requirements: Type of service: Conventional communication network is evident. It moves bits from one place to another. New paradigms of using such a network are required, along with new interfaces and new ways of thinking about the service of a network. Quality of Service: Traditional quality of service requirements. Bounded delay or minimum bandwidth are irrelevant when applications are tolerant to latency. Very high reliability requirements. The packet delivery ratio is an insufficient metric.
  • 28. Fault tolerance: To tolerate node failure, redundant deployment is necessary. Using more nodes than would be strictly necessary if all nodes functioned correctly. Lifetime: Lifetime of a WSN becomes a very important figure of merit. Investing more energy can increase quality but decrease lifetime. Definition of lifetime depends on the application at hand. Scalability: WSN might include a large number of nodes, the employed architectures and protocols must be able scale to these numbers.
  • 29. Wide range of densities: The number of nodes per unit area, the density of the network can vary considerably. Different applications will have very different node densities. Density can vary over time and space because nodes failor move. Programmability: Necessary for the nodes to process information React flexibly on changes in their tasks. These nodes should be programmable,andtheir programming must be changeable during operation when new tasks become important. A fixed way of information processing is insufficient. Maintainability: It has to monitor its own health and status to change operational parameters or to choose different trade-offs The network has to maintain itself Able to interact with external maintenance mechanisms to ensure its extended operation at a required quality
  • 30. Required mechanisms: Multihop wireless communication Energy-efficient operation Auto-configuration Collaboration and in-network processing Data centric Locality Exploit trade-offs
  • 31.
  • 32. Building such wireless sensor networks has only become possible with some fundamental advances in enabling technologies.  First and foremost among these technologies is the miniaturization of hardware. These three basic parts of a sensor node have to accompanied by power supply, Depending on application. High capacity batteries that last for long times, that is.  That can efficiently provide small amounts of current. Sensor node also has a device for energy scavenging, recharging the battery with energy gathered from the environment.