Probabilistic Intrusion Detection in Randomly Deployed Wireless Sensor Networks
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 .
wireless sensor networks detection probability sensing radius hop count detection latency