1 energy efficient communication in wireless sensor networks yingyue xu 8/14/2015
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Energy Efficient Communication in Wireless Sensor Networks
Yingyue Xu
04/19/23
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Characteristics of Sensor DevicesCharacteristics of Sensor Devices
• Ability to monitor a wide variety of ambient conditions:
– temperature,
– pressure,
–mechanical stress level on attached objects…
• Will be equipped with significant processing, memory, and wireless communication capabilities.
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Sensor Node Architecture
Power Unit Power Generator
Location Finding System
Mobilizer
Sensor ADC Processor
Storage
Transceiver
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Sensor Networks
• Large number of heterogeneous sensor devices – Scalable
• Energy constrained• Dynamic, adaptive to changeing • Data centric: data is requested based on
certain attributes, SPIN and Direct diffusion• Application specific• Unattended operation, configuration done
automatically and repeatedly
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Sensor Networks Architecture
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– Fault Tolerance (sustain functionalities)– Scalability (hundreds or thousands)– Production Cost (now $10, near future $1)– Hardware Constraints(small, environment,
unattended) – Network Topology (pre-, post-, and re-
deployment)– Transmission Media (RF (WINS), Infrared
(Bluetooth), and Optical (Smart Dust))– Power Consumption (with < 0.5 Ah, 1.2 V)
Design Factors(Akyildiz et al, IEEE Comm. Mag. Aug. 2002)
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Energy Save Ideas
Task LevelTask Level
Algorithm LevelAlgorithm Level
Protocols LevelProtocols Level
Physical LevelPhysical Level
Acceptable Functionality with Reduced Computations
Acceptable Functionality with Reduced Computations
Collaborative Signal Processing and
Coordinated Communications
Collaborative Signal Processing and
Coordinated Communications
Power Aware Routing and
Selective Multicasting
Power Aware Routing and
Selective Multicasting
Radio Power Control and
Dynamic Bandwidth Management
Radio Power Control and
Dynamic Bandwidth Management
Application and
QoS Driven Energy,
Delay, and Bandwidth
Management
Application and
QoS Driven Energy,
Delay, and Bandwidth
Management
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Energy Save Methods
Power Save Protocols
Network layer
MAC layer
Topology based
Synchronous
Asynchronous
Application layer
Power Control Techniques
Topology control [Tang01]
Maximum lifetime routing
Shutdown
Scaling
Mobile-agent-based
Put a node into sleep state
Span, LEACH
IEEE 802.11
BECA/AFECA
[Srinivasan01]
Energy aware application, localization, tracking
Assign per-node transmit powers
Maximum PA route
Minimum energy route
Minimum hop route
Maximum minimum PA node route
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Sensor node energy model
Micro Sensor Node
Power Model(Energy Consumers and Providers)
Battery Model
Radio Model
CPU Model
Sensor #1 Model
Sensor #2 Model
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1. linear model
2. discharge rate dependent model
3. relaxation model
Battery model
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Radio model
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rdE
rx
ntx
*
*)(
12
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RxelecRF
Txelec EEEW
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Computation model
tleakddddtottot IVVCE 2
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Sensing model
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3sin *
rE gsen
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• Turning the transceiver off may not always be efficient. Operation in a power-saving mode is energy-efficient only if the time spent in that mode is greater than a certain threshold
Power saving mode
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• Using several short hops may be more energy efficient than using one large hop.
Multiple hops
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• Sending>Receiving>Idle>Sleep
• Small packets (such as “hello” message) are a relatively expensive mechanism
• Broadcast is expensive in a dense network
Some notes
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• Good for distributed environment, such as sensor networks
• Low delay• Energy efficient
– Migrate the nodes near the phenomenon, other nodes can keep in sleep state
– Reduce network traffic– Itinerary design can further improve the lifetime of
sensor network
• Fault tolerant
Mobile agent paradigm