Distributed target detection in sensor networks using scan statistics
IEEE Transactions on Signal Processing
Bayesian data fusion for distributed target detection in sensor networks
IEEE Transactions on Signal Processing
Impact of mobile node density on detection performance measures in a hybrid sensor network
IEEE Transactions on Wireless Communications
Distributed node selection for sequential estimation over noisy communication channels
IEEE Transactions on Wireless Communications
Low-complexity algorithms for event detection in wireless sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
Sequential estimation over noisy channels with distributed node selection
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
EURASIP Journal on Advances in Signal Processing
Information Sciences: an International Journal
| Hi-index | 35.69 |
For a wireless sensor network (WSN) with randomly deployed sensors, the performance of the counting rule, where the fusion center employs the total number of detections reported by local sensors for hypothesis testing, is investigated. It is assumed that the signal power decays as a function of the distance from the target. For both the case where the total number of sensors is known and the wireless channels are lossless, and the case where the number of sensors is random and the wireless channels have nonnegligible error rates, the exact system level probability of detection is derived analytically. Some approximation methods are also proposed to attain an accurate estimate of the probability of detection, while at the same time to reduce the computation load significantly. To obtain a better system level detection performance, the local sensor level decision threshold is determined such that it maximizes the system level deflection coefficient.