Mobility improves coverage of sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Barrier coverage with wireless sensors
Proceedings of the 11th annual international conference on Mobile computing and networking
Analytic modeling of detection latency in mobile sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Designing localized algorithms for barrier coverage
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Strong barrier coverage of wireless sensor networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Measuring and guaranteeing quality of barrier-coverage in wireless sensor networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Barrier Coverage with Mobile Sensors
ISPAN '08 Proceedings of the The International Symposium on Parallel Architectures, Algorithms, and Networks
Optimal Movement of Mobile Sensors for Barrier Coverage of a Planar Region
COCOA 2008 Proceedings of the 2nd international conference on Combinatorial Optimization and Applications
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Intrusion detection is an important problem in sensor networks. Prior works in static sensor environments show that constructing sensor barriers with random sensor deployment can be effective for intrusion detection. In response to the recent surge of interest in mobile sensor applications, this paper studies the intrusion detection problem in a mobile sensor network, where it is believed that mobile sensors can improve barrier coverage. Specifically, we focus on providing k-barrier coverage against moving intruders. This problem becomes particularly challenging given that the trajectories of sensors and intruders need to be captured. We first demonstrate that this problem is similar to the classical kinetic theory of gas molecules in physics. We then derive the inherent relationship between barrier coverage performance and a set of crucial system parameters including sensor density, sensing range, and sensor and intruder mobility. We examine the correlations and sensitivity from the system parameters, and we derive the minimum number of mobile sensors that needs to be deployed in order to maintain the k-barrier coverage for a mobile sensor network. Finally, we show that the coverage performance can be improved by an order of magnitude with the same number of sensors when compared to that of the static sensor environment.