k-Barrier Coverage-Based Intrusion Detection for Wireless Sensor Networks

Wireless sensor networks (WSNs) is an egressing technology having various applications such as in military for surveillance and reconnaissance, in health care for patient monitoring, environmental monitoring, weather monitoring, etc. These networks are vulnerable to different types of security threats such as intrusion. Therefore, intrusion detection is the main issue in sensor networks. It is assumed that mobility of sensors can be advantageous to get improved coverage performance. In this work, we discuss an intrusion detection technique in mobile sensor networks. The performance of the network is analyzed in terms of probability, such as k-barrier coverage probability versus moving intruders. Then, the effect of number of sensors, sensing range of sensors, and the speed of sensors and intruder on the probability of k-barrier coverage is analyzed. Finally, this work proves that the performance of the network can be improved up to a significant order with mobile sensors as compared to that of static sensors.

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