Abstract
In large-scale and dense wireless sensor networks, sensor observations often are correlated and the correlation impacts overall network performance. Another performance limiting factor comes from the non-ideal nature of the wireless links between network nodes. In this paper, we study the detection performance for a distributed detection system with dependent observations under noisy communication channels. In particular, by adopting a novel unified hierarchical independence fusion framework, we derive asymptotic performance limits in terms of error exponents by taking into account the impact of dependent observations and non-ideal channels. The error exponents are investigated under both the Bayesian and the Neyman-Person criteria. Moreover, conditions under which the detection system will result in zero error exponents are also presented in terms of channel capacity requirements.
Original language | English |
---|---|
DOIs | |
State | Published - 2012 |
Event | 2012 19th IEEE Symposium on Communications and Vehicular Technology in the Benelux, SCVT 2012 - Eindhoven, Netherlands Duration: 16 Nov 2012 → 16 Nov 2012 |
Conference
Conference | 2012 19th IEEE Symposium on Communications and Vehicular Technology in the Benelux, SCVT 2012 |
---|---|
Country/Territory | Netherlands |
City | Eindhoven |
Period | 16/11/12 → 16/11/12 |
Keywords
- correlated sensor observations
- data fusion
- distributed detection
- error exponent
- non-ideal channel
- Wireless sensor networks