BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20240310T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:PDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20241103T010000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:PST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20240403T174627Z
UID:9977ABB8-369B-4AD1-BAEC-B32A6777827D
DTSTART;TZID=America/Los_Angeles:20240402T173000
DTEND;TZID=America/Los_Angeles:20240402T190000
DESCRIPTION:[]\n\nAbstract: In this presentation\, we delve into the transf
 ormative effects of cutting-edge technologies on the efficiency of wireles
 s networks that underpin the Internet of Things (IoT)\, with a focus on ec
 o-friendly wireless networks. We will unveil the latest developments in wa
 ke-up radio technologies equipped with semantic addressing\, showcasing th
 eir ability to drastically reduce packet delivery times and achieve signif
 icant energy savings—by up to five orders of magnitude. Furthermore\, we
 &#39;ll demonstrate how integrating energy harvesting techniques\, such as sol
 ar and wind\, with wake-up radios can lead to sustainable networked system
 s that rival the performance of traditional battery-powered nodes. Lastly\
 , we&#39;ll explore the advantages of employing intelligent forwarding methods
  based on optimized learning algorithms. While acknowledging the noticeabl
 e costs associated with such methods\, we&#39;ll also make a case for employin
 g more cost-effective heuristic approaches derived from learning-based mod
 els.\n\nBio: Stefano Basagni holds a Ph.D. in electrical engineering from 
 the University of Texas at Dallas (December 2001) and a Ph.D. in computer 
 science from the University of Milano\, Italy (May 1998). He received his 
 B.Sc. degree in computer science from the University of Pisa\, Italy\, in 
 1991. He is currently a professor in the Department of Electrical and Comp
 uter Engineering at Northeastern University\, in Boston\, MA. He is also a
  core faculty of Northeastern&#39;s Institute for the Wireless Internet of Thi
 ngs.\n\nDr. Basagni&#39;s current research interests concern research and impl
 ementation aspects of mobile networks and wireless communications systems\
 , wireless sensor networking for IoT (aerial\, underwater and terrestrial)
 \, definition and performance evaluation of network protocols and theoreti
 cal and practical aspects of distributed algorithms.\n\nDr. Basagni has pu
 blished over twelve dozens of highly cited\, refereed technical papers and
  book chapters. His h-index is currently 52. He is also co-editor of three
  books. Dr. Basagni served as a guest editor of multiple international ACM
 /IEEE\, Wiley and Elsevier journals. He has been the TPC co-chair of inter
 national conferences such as ACM Dial M for Mobility (2004)\, Med Hoc Net 
 (2006)\, IEEE SECON (2010)\, IEEE Globecom (AHSN Symposium\, 2012)\, IEEE 
 MASS (2012)\, IEEE WiMob 2013\, IEEE ICNC (NAPE Symposium\, 2015)\, IFIP W
 ireless Days 2016\, ACM WUWNet (2017)\, IEEE ICNC (WAHS Symposium\, 2018)\
 , Med Hoc Net (2018)\, IEEE ICNC (NAPE Symposium\, 2019)\, IEEE DCOSS 2021
 \, ACM WUWNet 2022\, IFIP WONS 2023\, and IEEE PIMRC 2023. He was the gene
 ral co-chair of IEEE SECON 2019 and of ACM WiNTECH 2020.\n\nDr. Basagni se
 rves as a member of the editorial board\, the organizing committee and of 
 the technical program committee of ACM and IEEE journals and international
  conferences. He is a distinguished scientist of the ACM\, a senior member
  of the IEEE\, a member of ASEE (American Society for Engineering Educatio
 n) and of CUR (Council for Undergraduate Education).\n\nCo-sponsored by: C
 edric Westphal\n\nRoom: Mills Hall 132\, 5000 MacArthur Boulevard\, Mills 
 College at Northeastern University\, Oakland\, California\, United States\
 , 94613\, Virtual: https://events.vtools.ieee.org/m/414392
LOCATION:Room: Mills Hall 132\, 5000 MacArthur Boulevard\, Mills College at
  Northeastern University\, Oakland\, California\, United States\, 94613\, 
 Virtual: https://events.vtools.ieee.org/m/414392
ORGANIZER:westphal@ieee.org
SEQUENCE:16
SUMMARY:Revolutionizing IoT: The Synergy of Wake-Up Radio Technologies and 
 Energy Harvesting in Green Wireless Networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/414392
X-ALT-DESC:Description: &lt;br /&gt;&lt;p style=&quot;text-align: center\;&quot;&gt;&lt;strong&gt;&lt;img 
 src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/b98a37fc-7e3b-
 4126-ab4b-f1f57f73c97d&quot; alt=&quot;&quot; width=&quot;700&quot; height=&quot;366&quot;&gt;&amp;nbsp\;&lt;/strong&gt;&lt;/
 p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;&lt;strong&gt;Abstract:&amp;nbsp\;&lt;/strong&gt;In t
 his presentation\, we delve into the transformative effects of cutting-edg
 e technologies on the efficiency of wireless networks that underpin the In
 ternet of Things (IoT)\, with a focus on eco-friendly wireless networks. W
 e will unveil the latest developments in wake-up radio technologies equipp
 ed with semantic addressing\, showcasing their ability to drastically redu
 ce packet delivery times and achieve significant energy savings&amp;mdash\;by 
 up to five orders of magnitude. Furthermore\, we&#39;ll demonstrate how integr
 ating energy harvesting techniques\, such as solar and wind\, with wake-up
  radios can lead to sustainable networked systems that rival the performan
 ce of traditional battery-powered nodes. Lastly\, we&#39;ll explore the advant
 ages of employing intelligent forwarding methods based on optimized learni
 ng algorithms. While acknowledging the noticeable costs associated with su
 ch methods\, we&#39;ll also make a case for employing more cost-effective heur
 istic approaches derived from learning-based models.&lt;/p&gt;\n&lt;p style=&quot;text-a
 lign: justify\;&quot;&gt;&lt;strong&gt;Bio: &lt;/strong&gt;Stefano Basagni holds a Ph.D. in el
 ectrical engineering from the University of Texas at Dallas (December 2001
 ) and a Ph.D. in computer science from the University of Milano\, Italy (M
 ay 1998). He received his B.Sc. degree in computer science from the Univer
 sity of Pisa\, Italy\, in 1991. He is currently a professor in the Departm
 ent of Electrical and Computer Engineering at Northeastern University\, in
  Boston\, MA. He is also a core faculty of Northeastern&#39;s Institute for th
 e Wireless Internet of Things.&lt;/p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;Dr. B
 asagni&#39;s current research interests concern research and implementation as
 pects of mobile networks and wireless communications systems\, wireless se
 nsor networking for IoT (aerial\, underwater and terrestrial)\, definition
  and performance evaluation of network protocols and theoretical and pract
 ical aspects of distributed algorithms.&lt;/p&gt;\n&lt;p&gt;Dr. Basagni has published 
 over twelve dozens of highly cited\, refereed technical papers and book ch
 apters. His h-index is currently 52. He is also co-editor of three books. 
 Dr. Basagni served as a guest editor of multiple international ACM/IEEE\, 
 Wiley and Elsevier journals. He has been the TPC co-chair of international
  conferences such as ACM Dial M for Mobility (2004)\, Med Hoc Net (2006)\,
  IEEE SECON (2010)\, IEEE Globecom (AHSN Symposium\, 2012)\, IEEE MASS (20
 12)\, IEEE WiMob 2013\, IEEE ICNC (NAPE Symposium\, 2015)\, IFIP Wireless 
 Days 2016\, ACM WUWNet (2017)\, IEEE ICNC (WAHS Symposium\, 2018)\, Med Ho
 c Net (2018)\, IEEE ICNC (NAPE Symposium\, 2019)\, IEEE DCOSS 2021\, ACM W
 UWNet 2022\, IFIP WONS 2023\, and IEEE PIMRC 2023. He was the general co-c
 hair of IEEE SECON 2019 and of ACM WiNTECH 2020.&lt;/p&gt;\n&lt;p&gt;Dr. Basagni serve
 s as a member of the editorial board\, the organizing committee and of the
  technical program committee of ACM and IEEE journals and international co
 nferences. He is a distinguished scientist of the ACM\, a senior member of
  the IEEE\, a member of ASEE (American Society for Engineering Education) 
 and of CUR (Council for Undergraduate Education).&lt;/p&gt;
END:VEVENT
END:VCALENDAR

