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UID:www.tcs.tifr.res.in/event/1016
DTSTAMP:20230914T125947Z
SUMMARY:Collision-Resolution via Leaning Algorithm in an Age-sensitive  Inf
 ormation System
DESCRIPTION:Speaker: Kumar Saurav\n\nAbstract: \nAbstract: In distributed 
 IoT paradigm\, we often have cases where multiple nodes need to keep a co
 mmon server updated with their status information. However\, status being
  dependent on time\, it requires a periodic flow of data-packets (contain
 ing fresh status information) from nodes to the server. But due to the de
 centralized nature of the system\, nodes lack de nite information about 
 the network and are unable to coordinate with each other. This results in
  multiple nodes transmitting data-packets simultaneously\, which leads to
  data-packet collision\, thereby incurring unnecessary transmission cost 
 and disrupting timely status updates. In this paper\, we consider Age of 
 Information (AoI) as the metric for timeliness of status updates\, and pr
 opose a learning algorithm based transmission policy for each node to avo
 id data-packet collision and achieve low time-averaged AoI and average tr
 ansmission cost. The learning algorithm works at each node independently 
 and assumes no network information\, except that upon each transmission\,
  a node gets to know if its data-packet is received by the server or dro
 pped due to collision. Based on the history of transmissions and their co
 rresponding result (transmission success/collision)\, the learning algori
 thm suggests a transmission probability to the node for the next time-slo
 t. We prove that the transmission probability so obtained\, converges to 
 a unique fixed point\, and further analyse its properties using numerical
  simulations.\nThe work has been jointly done with Rahul Vaze\, TIFR.\n
URL:https://www.tcs.tifr.res.in/web/events/1016
DTSTART;TZID=Asia/Kolkata:20191122T171500
DTEND;TZID=Asia/Kolkata:20191122T181500
LOCATION:A-201 (STCS Seminar Room)
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