PAC vs. MAC for decentralized detection using noncoherent modulation
IEEE Transactions on Signal Processing
Multiple-symbol differential decision fusion for mobile wireless sensor networks
IEEE Transactions on Wireless Communications
On learning for fusion over fading channels in wireless sensor networks
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
| Hi-index | 35.69 |
The problem of communicating sensor readings over a multiaccess channel for detecting a target using type-based multiple access (TBMA) is considered. TBMA is analyzed in a general framework by considering non-i.i.d. data and nonidentical channel gains. An asymptotically optimal detector is proposed and its error-exponents for detection probabilities are characterized using tools from large deviations theory (LDT). In case of i.i.d. channel gains, it is shown that the performance of TBMA presents two distinct behaviors depending on whether the channel gains have zero mean. Numerical simulations are used to demonstrate that the error exponents provide reasonably accurate estimates of the performance of TBMA