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.
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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 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.
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.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783639182576
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