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DTSTAMP:20230109T175114Z
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DTSTART;TZID=America/New_York:20221213T103000
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DESCRIPTION:By enabling large-scale in-situ environmental monitoring of rem
 ote areas\, the Internet-of-Things (IoT) can play a crucial role in quanti
 fying and responding to climate change. Sensing of uninhabited and many ru
 ral regions creates a need for inexpensive battery-powered IoT systems tha
 t can be deployed across large areas. Today\, such systems are woefully un
 available. We present a scalable IoT architecture for low-cost and low-pow
 er in-situ environmental sensing. The architecture is anchored by self-org
 anizing LoRa mesh networks that can be scaled to a hundred nodes\, coverin
 g a hundred or more square kilometers\, at a unit cost of less than US-$ 1
 5. A low-power design enables nodes to operate for years on two AA batteri
 es in many sensing applications. LoRa mesh networks connect to a cloud-bas
 ed IoT backend via a battery-powered modular gateway\, which supports Inte
 rnet access over a WiFi network\, a cellular network\, and a low-earth orb
 it satellite system.\n\nThe talk presents joint work with Dixin Wu and Ale
 xandru Bogdan.\n\nSpeaker(s): Professor Jörg Liebeherr\, \n\nRoom: DC 130
 4\, Bldg: DC - William G. Davis Computer Research Centre\, 200 University 
 Avenue West\, Waterloo\, Ontario\, Canada\, N2L 3G1\, Virtual: https://eve
 nts.vtools.ieee.org/m/342521
LOCATION:Room: DC 1304\, Bldg: DC - William G. Davis Computer Research Cent
 re\, 200 University Avenue West\, Waterloo\, Ontario\, Canada\, N2L 3G1\, 
 Virtual: https://events.vtools.ieee.org/m/342521
ORGANIZER:mohammad.salahuddin@ieee.org
SEQUENCE:2
SUMMARY:Large-Scale Environmental Sensing of Remote Areas on a Budget
URL;VALUE=URI:https://events.vtools.ieee.org/m/342521
X-ALT-DESC:Description: <br /><p>By enabling large-scale in-situ environmen
 tal monitoring of remote areas\, the Internet-of-Things (IoT) &nbsp\;can p
 lay a crucial role in quantifying and responding to climate change. &nbsp\
 ;Sensing of uninhabited and many rural regions creates a need for inexpens
 ive battery-powered IoT systems that can be deployed across large areas. T
 oday\, such systems are woefully unavailable. &nbsp\;We present a scalable
  IoT architecture for low-cost and low-power in-situ environmental sensing
 . The architecture is anchored by self-organizing LoRa mesh networks that 
 can be scaled to a hundred nodes\, covering a hundred or more square kilom
 eters\, at a unit cost of &nbsp\;less than US-$ 15. A low-power design ena
 bles nodes to operate for years on two AA batteries in many sensing applic
 ations. LoRa mesh networks connect to a cloud-based IoT backend via a batt
 ery-powered modular gateway\, which supports Internet access over a WiFi n
 etwork\, a cellular network\, and a low-earth orbit satellite system.<br /
 ><br />The talk presents joint work with Dixin Wu and Alexandru Bogdan.</p
 >
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