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Daniel Bonilla Licea presents On Trajectory Design for Intruder Detection in Wireless Mobile Sensor Networks

On 2021-06-03 11:00 at online seminar
In the talk, we will present and discuss our preliminary results in the context
of the European Union's Horizon 2020 Research and Innovation Programme
AERIAL-CORE.

Project website: https://aerial-core.eu

MRS website: http://mrs.felk.cvut.cz/projects/aerial-core

Standard seminar length ~ 40 min talk, 20 min discussion

ABSTRACT:

We address the problem of detecting the invasion of an intruder into a region
of
interest (ROI) which is monitored by a distributed bandwidth-constrained
wireless mobile sensor network (WMSN). We design periodic trajectories for the
mobile sensor nodes (MSNs) such that high detection probabilities are obtained
while maintaining the MSNs’ energy consumption low. To reduce the
transmission
and processing burden on the MSNs, we propose an operation algorithm based on
two modes, surveyingmode and confirmationmode . In the former, to efficiently
detect the intruder while using little mechanical energy, we optimize the
surveying path such that the sensed area is maximized. During this mode, each
MSN performs local detection and switches to the confirmation mode if and only
if the intruder is suspected to be present. In the confirmation mode, each MSN
collects further measurements over a predefined duration to reduce the
detection
uncertainly. A binary local hypothesis testing is performed at each MSN and
only
positive test statistics are transmitted to the FC where the ultimate decision
is taken. Simulations results show the merits of the proposed two-mode
operation
algorithm in terms of detection performance and energy efficiency.

PAPER:

E. Nurellari, D. Bonilla Licea, M. Ghogho and M. E. Rivero-Angeles, "On
Trajectory Design for Intruder Detection in Wireless Mobile Sensor Networks,"
in
IEEE Transactions on Signal and Information Processing over Networks, vol. 7,
pp. 236-248, 2021, doi: 10.1109/TSIPN.2021.3067305

PREPRINT:
https://www.researchgate.net/publication/350102708_On_Trajectory_Design_for_Intruder_Detection_in_Wireless_Mobile_Sensor_Networks

LINK TO ATTEND THE MEETING:

The seminar will be via Meet:
meet.google.com/cyg-nwbv-odt
Dial-in: (US) +1 650-530-7003
PIN: 872 463 995#

Za obsah zodpovídá: Petr Pošík