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DTSTART:20240310T030000
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DTSTART:20231105T010000
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DTSTAMP:20240129T191351Z
UID:E352804A-BB86-4642-A8CF-28520E377C22
DTSTART;TZID=America/New_York:20240129T100000
DTEND;TZID=America/New_York:20240129T110000
DESCRIPTION:Wireless sensor nodes are characterized by limited energy sourc
 es. Although the interests in wireless connectivity is ever-increasing and
  the needs for Internet-of-Things (IoT) applications\, such as\, automated
  remote access\, monitoring\, and control are well-appreciated\, widesprea
 d adoption of networked wireless devices is largely constrained by their a
 ffordable deployment and maintenance costs and convenience of their long-t
 erm usage. To this end\, while energy efficient protocol design is a key f
 or long-lasting network operation\, energy harvesting aware solutions are 
 becoming widely popular as green and affordable approaches towards sustain
 able network operation. Since ambient energy harvesting is not reliable or
  suitable in many field applications\, an interesting approach is charging
  them via wireless energy transfer. In this presentation\, we will discuss
  the limitations of radiative energy transfer\, performance of multihop ra
 dio frequency (RF) energy transfer\, and some of the use cases of RF energ
 y transfer combined with wireless information transfer. In particular\, we
  will discuss the possible ways of improving radiative energy transfer eff
 iciency through passive and active distributed beamforming. Throughout the
  presentation\, we will mutually corroborate our experimental findings and
  analytical intuitions in a few application scenarios.\n\nSpeaker(s): Dr. 
 Swades De\, \n\nVirtual: https://events.vtools.ieee.org/m/401398
LOCATION:Virtual: https://events.vtools.ieee.org/m/401398
ORGANIZER:l5zhao@torontomu.ca
SEQUENCE:17
SUMMARY:On Enhancing Efficiency of Radiative Energy Transfer
URL;VALUE=URI:https://events.vtools.ieee.org/m/401398
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Wireless sensor nodes are characterized by
  limited energy sources. Although the interests in wireless connectivity i
 s ever-increasing and the needs for Internet-of-Things (IoT) applications\
 , such as\, automated remote access\, monitoring\, and control are well-ap
 preciated\, widespread adoption of networked wireless devices is largely c
 onstrained by their affordable deployment and maintenance costs and conven
 ience of their long-term usage. To this end\, while energy efficient proto
 col design is a key for long-lasting network operation\, energy harvesting
  aware solutions are becoming widely popular as green and affordable appro
 aches towards sustainable network operation. Since ambient energy harvesti
 ng is not reliable or suitable in many field applications\, an interesting
  approach is charging them via wireless energy transfer. In this presentat
 ion\, we will discuss the limitations of radiative energy transfer\, perfo
 rmance of multihop radio frequency (RF) energy transfer\, and some of the 
 use cases of RF energy transfer combined with wireless information transfe
 r. In particular\, we will discuss the possible ways of improving radiativ
 e energy transfer efficiency through passive and active distributed beamfo
 rming. Throughout the presentation\, we will mutually corroborate our expe
 rimental findings and analytical intuitions in a few application scenarios
 .&lt;br /&gt;&lt;br /&gt;&lt;/p&gt;
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