Wireless Sensor Networks
CSC 687
Jerry Yoakum
Outline
 Overview
– Environment Monitoring
– Medical application
 Data-dissemination schemes
 Media access control schemes
 Distributed algorithms for collaborative processing
 Architecture for a Wireless Sensor Network
 Final Remarks
Overview
 A Wireless Sensor Network (WSN) consists
of base stations and a number of wireless
sensors (nodes).
Overview (Cont.)
Wireless Sensor Node: Components
Overview (Cont.)
Characteristics of Wireless Sensor Networks
 Requirements: small size, large number, tether-less, and low cost.
Constrained by
– Energy, computation, and communication
 Small size implies small battery
 Low cost & energy implies low power CPU, radio with minimum
bandwidth and range
 Ad-hoc deployment implies no maintenance or battery
replacement
 To increase network lifetime, no raw data is transmitted
Overview (Cont.)
Ad Hoc Wireless Networks
 Large number of self-organizing static or mobile
nodes that are possibly randomly deployed
 Near(est)-neighbor communication
 Wireless connections
– Links are fragile, possibly asymmetric
– Connectivity depends on power levels and fading
– Interference is high for omnidirectional antennas
 Sensor Networks and Sensor-Actuator Networks are
a prominent example.
Overview (Cont.)
Distinguishing Features
WSNs are ad hoc networks (wireless nodes that self-organize into
an infrastructureless network).
BUT, in contrast to other ad hoc networks:
 Sensing and data processing are essential
 WSNs have many more nodes and are more densely deployed
 Hardware must be cheap; nodes are more prone to failures
 WSNs operate under very strict energy constraints
 WSN nodes are typically static
 The communication scheme is many-to-one (data collected at a
base station) rather than peer-to-peer
Overview (Cont.)
Lifetime
 Nodes are battery-powered
 Nobody is going to change the batteries. So, each operation
brings the node closer to death.
"Lifetime is crucial!”
To save energy:
 Sleep as much as possible.
 Acquire data only if indispensable.
 Use data fusion and compression.
 Transmit and receive only if necessary. Receiving is just as
costly as sending.
Overview (Cont.)
Scalability and Reliability
WSNs should
 self-configure and be robust to topology changes (e.g., death of
a node)
 maintain connectivity: can the Base Station reach all nodes?
 ensure coverage: are we able to observe all phenomena of
interest?
Maintenance
 Reprogramming is the only practical kind of maintenance.
 It is highly desirable to reprogram wirelessly.
Overview (Cont.)
Data Collection
 Centralized data collection puts extra burden on nodes close to
the base station. Clever routing can alleviate that problem
 Clustering: data from groups of nodes are fused before being
transmitted, so that fewer transmissions are needed
 Often getting measurements from a particular area is more
important than getting data from each node
 Security and authenticity should be guaranteed. However, the
CPUs on the sensing nodes cannot handle fancy encryption
schemes.
Overview (Cont.)
Power Supply
 AA batteries power the vast majority of existing platforms. They
dominate the node size.
 Alkaline batteries offer a high energy density at a cheap price.
The discharge curve is far from flat, though.
 Lithium coin cells are more compact and boast a flat discharge
curve.
 Rechargeable batteries: Who does the recharging?
 Solar cells are an option for some applications.
 Fuel cells may be an alternative in the future.
 Energy scavenging techniques are a hot research topic
(mechanical, thermodynamical, electromagnetic).
Overview (Cont.)
Radio
 Commercially-available chips
 Available bands: 433 and 916MHz, 2.4GHz ISM bands
 Typical transmit power: 0dBm.
Power control
 Sensitivity: as low as -110dBm
 Narrowband (FSK) or Spread Spectrum communication. DS-
SS (e.g., ZigBee) or FH-SS (e.g., Bluetooth)
 Relatively low rates (<100 kbps) save power.
Overview (Cont.)
CPU
 The Microcontroller Unit (MCU) is the primary choice for
in-node processing.
 Power consumption is the key metric in MCU selection.
 The MCU should be able to sleep whenever possible,
like the radio.
 Memory requirements depend on the application
 ATmega128L and MSP430
are popular choices
Overview (Cont.)
Sensors
 The power efficiency of the sensors is also
crucial, as well as their duty cycle.
 MEMS techniques allow miniaturization.
Overview (Cont.)
Applications of Wireless Sensor Networks
 Military and national security application
 Environment monitoring (examples coming)
 Medical application (example coming)
 Nearly anything you can imagine
Environment monitoring (1)
Great Duck Island
• 150 sensing nodes deployed throughout the island relay data
temperature, pressure, and humidity to a central device.
• Data was made available on the Internet through a satellite link.
Environment monitoring (2)
Zebranet: a WSN to study the behavior of zebras
• Special GPS-equipped collars were attached to zebras
• Data exchanged with peer-to-peer info swaps
• Coming across a few zebras gives access to the data
Medical application
 Intel deployed a 130-node network to monitor
the activity of residents in an elder care
facility.
 Patient data is acquired with wearable
sensing nodes (the “watch”)
• Vital sign monitoring
• Accident recognition
• Monitoring the elderly
Data-dissemination Schemes
Conventional Methods
 Direct communication with the base station
– Sensor nodes communicate with the base station directly.
– Energy consuming.
 Multi-hop Scheme
– Transmit through some other intermediate nodes.
– Energy consuming.
Clustering Hierarchy
Data-dissemination Schemes (Cont.)
Low Energy Adaptive Clustering
Hierarchy (LEACH)
 Designed for sensor networks where an end-user wants to
remotely monitor the environment. Where the data from the
individual nodes must be sent to a central base station, often
located far from the sensor network.
 Desirable properties for protocols on these networks:
– Use 100’s – 1000’s of nodes
– Maximize system lifetime
– Maximize network coverage
– Use uniform, battery operated nodes
 The use of distributed cluster formation and local processing to
reduce global communication along with randomized rotation of
the cluster-heads allows LEACH to achieve the desired properties
while being energy-efficient.
Data-dissemination Schemes (Cont.)
Media Access Control (MAC) Scheme
Two categories of MAC schemes for wireless networks
 Contention-based schemes
– Designed for minimum delay and maximum throughput.
– Require transceivers to monitor the channel at all times.
 Reservation-based or schedule-based schemes
– Detect the neighboring radios before allocating collision-free
channel to a link.
– TDMA —a natural choice for sensor networks.
MAC Scheme (Cont.)
TDMA-based solutions
 The self-organizing “super frame” algorithm
– Super frame = TDMA period + BOOTUP period + unused
bandwidth
– Performs well only under the specific conditions.
 Power Aware Clustered TDMA (PACT)
– Divide the TDMA structure into control slot and data slot.
– Hard to maintain the cluster when there are mobile nodes.
MAC Scheme (Cont.)
Other solutions
 Sensor-MAC (SMAC)
– Nodes periodically sleep.
– A node sleeps during transmission period of other
nodes.
– Not suitable for time-critical applications.
Architecture for a WSN
Special addressing requirement
 Local unique addresses
 Data-centric
 Example: Each node has an unique number.
Attribute-based naming architecture
 Data is named by one or more attributes.
 Example: Each node is distinguished by an
attribute – GPS sensors are practical for this.
Architecture for a WSN (cont.)
An address-free architecture (AFA)
 Advantage
– Randomly select probabilistically unique identifier for each
transaction.
– Spatial locality.
– Temporal locality.
 Drawback
– Not applicable when static addressing of nodes is needed.
– Identifier conflict.
Final Remarks
 Can you think of any applications where a
wireless sensor network would be the best
solution?
 Do you foresee wireless sensor networks
becoming ubiquitous within the next ten
years? During your lifetime?

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WSN

  • 1. Wireless Sensor Networks CSC 687 Jerry Yoakum
  • 2. Outline  Overview – Environment Monitoring – Medical application  Data-dissemination schemes  Media access control schemes  Distributed algorithms for collaborative processing  Architecture for a Wireless Sensor Network  Final Remarks
  • 3. Overview  A Wireless Sensor Network (WSN) consists of base stations and a number of wireless sensors (nodes).
  • 5. Overview (Cont.) Characteristics of Wireless Sensor Networks  Requirements: small size, large number, tether-less, and low cost. Constrained by – Energy, computation, and communication  Small size implies small battery  Low cost & energy implies low power CPU, radio with minimum bandwidth and range  Ad-hoc deployment implies no maintenance or battery replacement  To increase network lifetime, no raw data is transmitted
  • 6. Overview (Cont.) Ad Hoc Wireless Networks  Large number of self-organizing static or mobile nodes that are possibly randomly deployed  Near(est)-neighbor communication  Wireless connections – Links are fragile, possibly asymmetric – Connectivity depends on power levels and fading – Interference is high for omnidirectional antennas  Sensor Networks and Sensor-Actuator Networks are a prominent example.
  • 7. Overview (Cont.) Distinguishing Features WSNs are ad hoc networks (wireless nodes that self-organize into an infrastructureless network). BUT, in contrast to other ad hoc networks:  Sensing and data processing are essential  WSNs have many more nodes and are more densely deployed  Hardware must be cheap; nodes are more prone to failures  WSNs operate under very strict energy constraints  WSN nodes are typically static  The communication scheme is many-to-one (data collected at a base station) rather than peer-to-peer
  • 8. Overview (Cont.) Lifetime  Nodes are battery-powered  Nobody is going to change the batteries. So, each operation brings the node closer to death. "Lifetime is crucial!” To save energy:  Sleep as much as possible.  Acquire data only if indispensable.  Use data fusion and compression.  Transmit and receive only if necessary. Receiving is just as costly as sending.
  • 9. Overview (Cont.) Scalability and Reliability WSNs should  self-configure and be robust to topology changes (e.g., death of a node)  maintain connectivity: can the Base Station reach all nodes?  ensure coverage: are we able to observe all phenomena of interest? Maintenance  Reprogramming is the only practical kind of maintenance.  It is highly desirable to reprogram wirelessly.
  • 10. Overview (Cont.) Data Collection  Centralized data collection puts extra burden on nodes close to the base station. Clever routing can alleviate that problem  Clustering: data from groups of nodes are fused before being transmitted, so that fewer transmissions are needed  Often getting measurements from a particular area is more important than getting data from each node  Security and authenticity should be guaranteed. However, the CPUs on the sensing nodes cannot handle fancy encryption schemes.
  • 11. Overview (Cont.) Power Supply  AA batteries power the vast majority of existing platforms. They dominate the node size.  Alkaline batteries offer a high energy density at a cheap price. The discharge curve is far from flat, though.  Lithium coin cells are more compact and boast a flat discharge curve.  Rechargeable batteries: Who does the recharging?  Solar cells are an option for some applications.  Fuel cells may be an alternative in the future.  Energy scavenging techniques are a hot research topic (mechanical, thermodynamical, electromagnetic).
  • 12. Overview (Cont.) Radio  Commercially-available chips  Available bands: 433 and 916MHz, 2.4GHz ISM bands  Typical transmit power: 0dBm. Power control  Sensitivity: as low as -110dBm  Narrowband (FSK) or Spread Spectrum communication. DS- SS (e.g., ZigBee) or FH-SS (e.g., Bluetooth)  Relatively low rates (<100 kbps) save power.
  • 13. Overview (Cont.) CPU  The Microcontroller Unit (MCU) is the primary choice for in-node processing.  Power consumption is the key metric in MCU selection.  The MCU should be able to sleep whenever possible, like the radio.  Memory requirements depend on the application  ATmega128L and MSP430 are popular choices
  • 14. Overview (Cont.) Sensors  The power efficiency of the sensors is also crucial, as well as their duty cycle.  MEMS techniques allow miniaturization.
  • 15. Overview (Cont.) Applications of Wireless Sensor Networks  Military and national security application  Environment monitoring (examples coming)  Medical application (example coming)  Nearly anything you can imagine
  • 16. Environment monitoring (1) Great Duck Island • 150 sensing nodes deployed throughout the island relay data temperature, pressure, and humidity to a central device. • Data was made available on the Internet through a satellite link.
  • 17. Environment monitoring (2) Zebranet: a WSN to study the behavior of zebras • Special GPS-equipped collars were attached to zebras • Data exchanged with peer-to-peer info swaps • Coming across a few zebras gives access to the data
  • 18. Medical application  Intel deployed a 130-node network to monitor the activity of residents in an elder care facility.  Patient data is acquired with wearable sensing nodes (the “watch”) • Vital sign monitoring • Accident recognition • Monitoring the elderly
  • 19. Data-dissemination Schemes Conventional Methods  Direct communication with the base station – Sensor nodes communicate with the base station directly. – Energy consuming.  Multi-hop Scheme – Transmit through some other intermediate nodes. – Energy consuming.
  • 21. Low Energy Adaptive Clustering Hierarchy (LEACH)  Designed for sensor networks where an end-user wants to remotely monitor the environment. Where the data from the individual nodes must be sent to a central base station, often located far from the sensor network.  Desirable properties for protocols on these networks: – Use 100’s – 1000’s of nodes – Maximize system lifetime – Maximize network coverage – Use uniform, battery operated nodes  The use of distributed cluster formation and local processing to reduce global communication along with randomized rotation of the cluster-heads allows LEACH to achieve the desired properties while being energy-efficient. Data-dissemination Schemes (Cont.)
  • 22. Media Access Control (MAC) Scheme Two categories of MAC schemes for wireless networks  Contention-based schemes – Designed for minimum delay and maximum throughput. – Require transceivers to monitor the channel at all times.  Reservation-based or schedule-based schemes – Detect the neighboring radios before allocating collision-free channel to a link. – TDMA —a natural choice for sensor networks.
  • 23. MAC Scheme (Cont.) TDMA-based solutions  The self-organizing “super frame” algorithm – Super frame = TDMA period + BOOTUP period + unused bandwidth – Performs well only under the specific conditions.  Power Aware Clustered TDMA (PACT) – Divide the TDMA structure into control slot and data slot. – Hard to maintain the cluster when there are mobile nodes.
  • 24. MAC Scheme (Cont.) Other solutions  Sensor-MAC (SMAC) – Nodes periodically sleep. – A node sleeps during transmission period of other nodes. – Not suitable for time-critical applications.
  • 25. Architecture for a WSN Special addressing requirement  Local unique addresses  Data-centric  Example: Each node has an unique number. Attribute-based naming architecture  Data is named by one or more attributes.  Example: Each node is distinguished by an attribute – GPS sensors are practical for this.
  • 26. Architecture for a WSN (cont.) An address-free architecture (AFA)  Advantage – Randomly select probabilistically unique identifier for each transaction. – Spatial locality. – Temporal locality.  Drawback – Not applicable when static addressing of nodes is needed. – Identifier conflict.
  • 27. Final Remarks  Can you think of any applications where a wireless sensor network would be the best solution?  Do you foresee wireless sensor networks becoming ubiquitous within the next ten years? During your lifetime?

Editor's Notes

  • #5: ADC - Analog-Digital Converter
  • #13: industrial, scientific and medical (ISM) : http://en.wikipedia.org/wiki/ISM_band
  • #14: A microcontroller unit (MCU) is an integrated circuit (IC) that contains many of the functions found in a typical computer system. A microcontroller uses a microprocessor as its central processing unit and incorporates features such as memory, a timing reference, and input/output peripherals, all on the same chip.
  • #15: Micro-Electro-Mechanical Systems (MEMS) is the integration of mechanical elements, sensors, actuators, and electronics on a common silicon substrate through microfabrication technology.