Human‐Centric IoT Networks

Publikation: Forskning - peer reviewBidrag til bog/antologi

Abstrakt

The current Internet of things (IoT) concept is characterized with billions
and billions of devices interworking through a myriad of technologies for the
delivery of smart personalized services and applications. At the center of these
is the human user who drives his/her own interconnected cluster. It can be
expected in the future that the number of such clusters will grow exponentially,
leading to an ultradense environment of interconnected devices belonging to
the same or different clusters with the human user as the center point for the
information being sensed, gathered, and processed. This concept has also been
introduced elsewhere as “human center sensing (HCS).” The vision pushed by
the authors of this chapter for the IoT beyond 2050 is one of the large‐scale and
dense HCS connectivities, the complexity of which can be used to extract new
IoT value proposition.
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Detaljer

The current Internet of things (IoT) concept is characterized with billions
and billions of devices interworking through a myriad of technologies for the
delivery of smart personalized services and applications. At the center of these
is the human user who drives his/her own interconnected cluster. It can be
expected in the future that the number of such clusters will grow exponentially,
leading to an ultradense environment of interconnected devices belonging to
the same or different clusters with the human user as the center point for the
information being sensed, gathered, and processed. This concept has also been
introduced elsewhere as “human center sensing (HCS).” The vision pushed by
the authors of this chapter for the IoT beyond 2050 is one of the large‐scale and
dense HCS connectivities, the complexity of which can be used to extract new
IoT value proposition.
OriginalsprogEngelsk
TitelHuman-Bond Communications
RedaktørerSudhir Dixit
Antal sider15
UdgiverWiley
Publikationsdato2017
Sider71
Artikelnummer0002906860.INDD
Kapitel86
StatusE-pub ahead of print - 2017
ID: 249237094