Wenling High School Wenling High School By Chen Yingying By Chen YingyingChen YingyingChen Yingying.
Sensor Networks JP Vasseur, Josh Bers, Yingying Chen Pandurang Kamat, Chip Elliott.
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Transcript of Sensor Networks JP Vasseur, Josh Bers, Yingying Chen Pandurang Kamat, Chip Elliott.
General Observations• Sensor networks have some research overlap with other
wireless networks, but as general characteristics. . .
• . . . Are strongly tied to the real world and subject phenomena outside of CS/EE
• . . . Are highly varied (turtles, radars, traffic, indoor localization, . . .)
• . . . Yet nonetheless have certain representative interests & core needs.
Common Experimental Needs
• Good space/time localization(e.g. differential GPS with good clocks)
• Communications in a range of disadvantaged modes
• Strong concerns with energy husbanding• In-network / backend processing of data queries• Security in all its aspects• Experiment setup, debugging, data gathering• Spatially oriented visualization
Discussion on Sensors• Is there a common sensor for “baseline GENI”? Maybe
RF sensor, since baseline will have a radio?• Desirable to have an abstraction layer to plug in arbitrary
sensors at data layer• How exactly would multiple “slices” share a common
sensor? At the device level? Or is sensor data published?
• All in all, it may be best to have a baseline sensor node with typical functionality, with easy extension to specialized forms of sensors
Discussion on Virtualization
• Many typical sensor nodes will be too small for virtualization
• RF virtualization will be challenging; may be simpler just to allocate spatial clusters
• “Stargate” type architecture seems generally suitable; small, unique sensor nets can be plugged in “behind” a GENI sensor node
Other Discussion
• Need for “ground truth” to compare against experimental results, e.g.,– Accurate RF measurements– Accurate localization / time– Questions of device calibration, error, etc.
• Experimental infrastructure must include “ground truth” components
• Metro or building deployment must answer the question: “what’s in it for them”
Representative Experimental Usage Scenarios
• Within a large building (localization of moving objects or people)– RF tags– Active tags for localization research
• Metro area, e.g.,– Traffic patterns (microwave/seismic)– Weather (temp, humidity, wind, . . ., particulate, O^3,
tornados!)– RF environment (RF network as first class sensor)
• Agricultural, or other outdoors