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Wireless sensor networks have become increasingly pervasive with promises to fulfill many of our critical necessities today. One issue that has permeated sensor networks recently is mobility. Broadly, mobility in sensor networks can be categorized into two classes: Internal mobility and External mobility. Internal mobility is the class where sensors themselves can physically move from one location to another, while external mobility is the class where certain external agents (not sensors) physically move in the network. Both mobility classes have patent and significant impacts to sensor…mehr

Produktbeschreibung
Wireless sensor networks have become increasingly
pervasive with promises to fulfill many of our
critical necessities today. One issue that has
permeated sensor networks recently is mobility.
Broadly, mobility in sensor networks can be
categorized into two classes: Internal mobility and
External mobility. Internal mobility is the class
where sensors themselves can physically move from
one location to another, while external mobility is
the class where certain external agents (not
sensors) physically move in the network. Both
mobility classes have patent and significant impacts
to sensor networks operation. However, being an
emerging topic, a clear understanding of
opportunities and challenges of sensor networks
mobility is lacking today, and hence is an important
need of the hour. In this work, we make
contributions in both classes of sensor networks
mobility from the perspective of designing
algorithms for deployment of sensors capable of
internal mobility; and modeling and analyzing
external mobility driven attacks in wireless sensor
networks.
Autorenporträt
Sriram Chellappan received the Ph.D. degree in Computer
Science and Engineering from The Ohio-State University,
Columbus, USA. Currently, he is a Computer Science faculty
member at Missouri University of Science and Technology, Rolla,
USA. His broad interests are in Networking, Distributed Systems
and Security.