Differentia-based bit error rate estimation method in wireless sensor network
Pei Xiang-x · Jiguang zazhi · 2014
The performance of interference detection in wireless sensor network depends on the performance of bit error rate(BER) estimation, however, the existed BER estimation methods are either too complicate to implement or with low precision. To solve the problem, differentia error estimation(DEE) method is proposed to enhance the precision of BER. The main idea is to insert multi-level error estimation bits that with different error estimation ability, which are random and uniformly distributed, into the sender's packets. And the receivers estimate the BER by using the relation between the BER and parity check. Meanwhile, DEE optimizes the ability of error estimation bit of each level by making use of BER's feature of non-uniform distribution, to enhance the estimate precision of BER with higher probability and lower the average estimation error. The experiments shows that, compared with the error estimating coding(EEC) method, the average estimation error decreases 44%, and the estimation error decreases as much as 68% when the redundancy is decreased.