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The Intrusion Detection in Mobile Sensor Network
Abstract
Intrusion detection is an important problem in sensor networks. Prior works
in static sensor environments show that constructing sensor barriers with random
sensor deployment can be effective for intrusion detection. In response to the
recent surge of interest in mobile sensor applications, this paper studies the
intrusion detection problem in a mobile sensor network, where it is believed that
mobile sensors can improve barrier coverage. Specifically, we focus on providing
$k$-barrier coverage against moving intruders. This problem becomes particularly
challenging given that the trajectories of sensors and intruders need to be captured.
We first demonstrate that this problem is similar to the classical kinetic theory of
gas molecules in physics. We then derive the inherent relationship between barrier
coverage performance and a set of crucial system parameters including sensor
density, sensing range, and sensor and intruder mobility. We examine the
correlations and sensitivity from the system parameters, and we derive the
minimum number of mobile sensors that needs to be deployed in order to maintain
the $k$ -barrier coverage for a mobile sensor network. Finally, we show that the
coverage performance can be improved by an order of magnitude with the same
number of sensors when compared to that of the static sensor environment.
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