Abstract
In this paper, we consider the distributed classification problem in wireless sensor networks. The DCFECC-SD approach employing the binary code matrix has recently been proposed to cope with the errors caused by both sensor faults and the effect of fading channels. The DCFECC-SD approach extends the DCFECC approach by using soft decision decoding to combat channel fading. However, the performance of the system employing the binary code matrix could be degraded if the distance between different hypotheses can not be kept large. This situation could happen when the number of sensor is small or the number of hypotheses is large. In this paper, we design the DCFECC-SD approach employing the D-ary code matrix, where D > 2. Simulation results show that the performance of the DCFECC-SD approach employing the D-ary code matrix is better than that of the DCFECC-SD approach employing the binary code matrix. Performance evaluation of DCFECC-SD using different number of bits of local decision information is also provided when the total channel energy output from each sensor node is fixed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 49-58 |
| Number of pages | 10 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5434 |
| DOIs | |
| State | Published - 2004 |
| Event | Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004 - Orlando, FL, United States Duration: Apr 14 2004 → Apr 15 2004 |
Keywords
- Coding
- Decision fusion
- Distributed classification
- Fading channel
- Multisensor fusion
- Soft-decision decoding
- Wireless sensor networks
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering