Proceedings of the 6th international conference on Information processing in sensor networks
Channel aware target localization with quantized data in wireless sensor networks
IEEE Transactions on Signal Processing
Tracking in wireless sensor networks using particle filtering: physical layer considerations
IEEE Transactions on Signal Processing
Serial distributed detection performance analysis in wireless sensor networks under noisy channel
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Channel-aware decision fusion with unknown local sensor detection probability
IEEE Transactions on Signal Processing
| Hi-index | 0.02 |
Existing studies on the classical distributed detection problem typically assume idealized transmissions between local sensors and a fusion center. This is not guaranteed in the emerging wireless sensor networks with low-cost sensors and stringent power/delay constraints. By focusing on discrete transmission channels, we study the performance limits, in both asymptotic and non-asymptotic regimes, of a distributed detection system as a function of channel characteristics. For asymptotic analysis, we compute the error exponents of the underlying hypothesis testing problem; while for cases with a finite number of sensors, we determine channel conditions under which the distributed detection systems become useless - observing the channel outputs cannot help reduce the error probability at the fusion center. We demonstrate that as the number of sensors or the quantization levels at local sensors increase, the requirements on channel quality can be relaxed