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Wireless Personal Communications
Published in: Wireless Personal Communications 2/2015

01-09-2015

Probabilistic Intrusion Detection in Randomly Deployed Wireless Sensor Networks

Authors: Anil Kumar Sagar, D. K. Lobiyal

Published in: Wireless Personal Communications | Issue 2/2015

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Abstract

Wireless sensor networks (WSNs) are commonly used in surveillance to sense the event of interest in the monitoring field and report it to the sink in a timely manner. In Area coverage, network monitors the Area of interest and recognizes any intruder attempting to cross the monitoring Area. In this paper, we have analyzed the intruder detection probability with respect to network parameters such as sensing radius, node density. We also investigated the detection probability related to speed of intruder, availability of sensor nodes along with the time frame required to identify the intruder. In addition, we also discussed the k-detection probability to make the system more reliable. Furthermore in this paper we have also developed the analytical framework for the expected hop count in multi-hop WSN .
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Metadata
Title
Probabilistic Intrusion Detection in Randomly Deployed Wireless Sensor Networks
Authors
Anil Kumar Sagar
D. K. Lobiyal
Publication date
01-09-2015
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2015
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-015-2673-y

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