Delay of intrusion detection in wireless sensor networks
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Efficient In-Network Moving Object Tracking in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Probabilistic detection of mobile targets in heterogeneous sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
IEEE Transactions on Parallel and Distributed Systems
Intrusion Detection in Homogeneous and Heterogeneous Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Dispersion-based prediction framework for estimating missing values in wireless sensor networks
International Journal of Sensor Networks
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Intrusion detection is one of the fundamental applications in wireless sensor networks (WSNs). Some applications require different detection capabilities at different areas in the deployment field. Gaussian distributed WSNs can fulfill such requirements and are widely deployed in practice. In addition, the presence of some high capability sensors leads to performance enhancement in term of intrusion detection probability. This makes it imperative to explore the intrusion detection problem in heterogeneous WSNs. This work is to examine the intrusion detection problem in a heterogeneous Gaussian distributed WSN theoretically and experimentally. A heterogeneous WSN model with distinct types of Gaussian distributed sensors is proposed, where both single-sensing detection and k-sensing detection models are employed. Based on this network model, the intrusion detection probabilities under various application scenarios are theoretically derived and experimentally validated by extensive simulations. This work is to provide guidelines in designing heterogeneous WSNs for intrusion detection.