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Sistemi riconfigurabili a basso consumo per applicazioni di monitoraggio distribuito

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  • معلومة اضافية
    • Contributors:
      Benini, Luca
    • بيانات النشر:
      Alma Mater Studiorum - Università di Bologna
    • الموضوع:
      2010
    • Collection:
      Università di Bologna: AMS Tesi di Dottorato (Alm@DL)
    • نبذة مختصرة :
      The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems ...
    • File Description:
      application/pdf
    • Relation:
      http://amsdottorato.unibo.it/2980/1/Magno_Michele_tesi.pdf; urn:nbn:it:unibo-2216; Magno, Michele (2010) Sistemi riconfigurabili a basso consumo per applicazioni di monitoraggio distribuito, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Ingegneria elettronica, informatica e delle telecomunicazioni , 22 Ciclo. DOI 10.6092/unibo/amsdottorato/2980.
    • الدخول الالكتروني :
      http://amsdottorato.unibo.it/2980/
      http://amsdottorato.unibo.it/2980/1/Magno_Michele_tesi.pdf
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.5BBE209