On Trajectory Design for Intruder Detection in Wireless Mobile Sensor Networks

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, surveying mode and conf irmation mode. 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.

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“…In addition, the authors have also analysed the influence of the number of sensors, intruder speed on the probability of detection, detection accuracy, and false alarm rate and found that the proposed algorithm outperforms the other fusion algorithms. Another work presented in [ 14 ] proposed optimal trajectories for mobile sensors employed for intrusion detection in a given RoI. The proposed trajectories for mobile sensors will maximise the coverage area and reduce energy consumption, which would increase the lifetime of the sensor network, thus providing improved intrusion detection performance.…”

“…It is pivotal to mention that the above-discussed works [ 13 , 14 , 15 , 16 , 17 , 18 , 19 ] contribute significantly in the research domain. However, their models are validated through Monte Carlo simulation, which requires very high computation cost and time.…”