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BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Penn Engineering Events - ECPv6.18.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Penn Engineering Events X-ORIGINAL-URL:https://seasevents.nmsdev7.com X-WR-CALDESC:Events for Penn Engineering Events REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20190310T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20191103T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20201013T120000 DTEND;TZID=America/New_York:20201013T130000 DTSTAMP:20200918T005455Z CREATED:20200918T005455Z LAST-MODIFIED:20200918T005455Z UID:3449-1602590400-1602594000@seasevents.nmsdev7.com SUMMARY:ESE Seminar: "Data-driven Decision Making and Estimation in CPS/IoT Networks" DESCRIPTION:The modern instantiation of a sensor network is a cyberphysical (CPS) system where CPS subsystems can be interconnected by a shared communication network of limited bandwidth. A common problem in CPS networks is the sensing and communication of spatio-temporal signals. However\, there are fundamental differences between estimation (sensing) and communication. For example\, the type of signal one would design to optimize sensing is very different from that for optimized communication. In this talk\, we explore some of these differences and discuss how joint communication and sensing should occur in different problem settings. In particular\, we examine problems where multiple sensors make observations and must share the communication medium to transmit these signals to a fusion center that will endeavor to perform remote estimation all of the sensed signals. A new class of remote estimation problems\, where the communication resources are allocated dynamically based on the observations at the sensors\, rather than purely on their statistical description is examined. We address the optimal design of a collision avoidance policy by selecting the most informative sensor to transmit at a time. First\, we will establish person-by-person optimal policies for the scheduling of sensors making Gaussian observations. Then\, we will show how our theoretical results can be applied to design scheduling policies where the joint probability density of the observations is unknown using machine learning techniques. We will extend our results to the case when the scheduler uses an energy harvesting battery as well as to the case of purely decentralized decision making. Time permitting\, applications to the case of microbial decision making in quorum sensing networks will be discussed. \n  URL:https://seasevents.nmsdev7.com/event/ese-seminar-data-driven-decision-making-and-estimation-in-cps-iot-networks/ LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu CATEGORIES:Seminar,Distinguished Lecture,Faculty,Colloquium,Graduate,Undergraduate ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu END:VEVENT END:VCALENDAR