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SUMMARY:Minimizing the total energy consumption in wireless sensor network
 s
DTSTART:20110622T100000
DTSTAMP:20260509T103430Z
UID:fcc41f18da3797484dc73bcbec87fc1e7bb46d8e090656aa302515ff
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Heinrich Meyr\, Aachen\nOne of the most compelling chall
 enges of the next decade is expanding the data networks into the end-user
 ´s data collection and monitoring devices. A typical wireless sensor netw
 ork (WSN) consists of a sensor\, a digital controller\, an information pro
 cessing unit and a wireless transceiver. The energy consumption of the sen
 sor node must be minimized since the node frequently sustains itself on en
 ergy harvested from the environment. In case of battery powered devices on
 e must eliminate frequent battery replacement. The energy equation of a WS
 N contains various terms. Energy is consumed by the sensor\, information c
 ompressing in the sensor and communication of data in the network. Minimiz
 ation of the total energy to transmit information from source to destinati
 on is a trade-off between the conflicting goals of communication performan
 ce and energy consumption of the various contributors to the energy equati
 on. For example\, minimizing the computation energy for information compre
 ssing at the node requires a larger data rate resulting in a larger energy
  per transmitted information bit. Traditionally\, the communication engine
 er is concerned with the tradeoff between transmit energy efficiency measu
 red by the signal-to- noise ratio and spectral efficiency measured in bit/
 sHz to achieve a specified communication performance. Processing energy of
  the transceiver is neglected in the classical communication theory. This 
 view is too restrictive for our purposes. The metric to be minimized in a 
 WSN is the energy per information bit (pJ/bit) required to transmit an inf
 ormation bit from source to destination. This metric is independent of the
  architecture of the network\, of its protocol\, transmission methods and 
 transceiver implementation and\, thus\, allows comparing competing designs
 . In this lecture we will first introduce the design space of a WSN. We wi
 ll then focus on the communication aspects and discuss in some detail the 
 trade-offs between communication performance\, spectral efficiency and the
  efficiency of the combined processing and transmit energy. We will discus
 s transceiver concepts and their practical implementations taking into acc
 ount issue such as synchronization\, wake-up protocols etc.
LOCATION:SG 0211 https://plan.epfl.ch/?room==SG%0200211
STATUS:CONFIRMED
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