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S^3 LQA: A Link Quality Assessment Metric for WSNs Based on Symbol Error and Received Signal Strength
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作者 Lin-Lan Liu Chao Zang +2 位作者 Jian Shu Lin-Xin Zeng Sarah Morrison 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2013年第2期33-39,共7页
With the rapid evolution of WSNs technology, it is very important to evaluate link quality quickly and accurately, so that the routing protocols can take relevant strategies in time to keep the entire network working ... With the rapid evolution of WSNs technology, it is very important to evaluate link quality quickly and accurately, so that the routing protocols can take relevant strategies in time to keep the entire network working steadily and efficiently. However, the issue of layer is still open to research. To tackle this issue, a improving link quality assessment methods on physical novel link quality assessment metric called S3LQA is proposed, which estimates the link quality of wireless sensor networks by CC2420 wireless radio frequency transceiver principles and free space propagation theory. The metric adopts both complete and incomplete packages to improve the evaluation performance effectively based on IEEE802. 15.4 frame format and DSSS-O- QPSK mechanism. The experimental results show that the proposed method can improve energy cost and achieves hatter real-timin nerformance than traditional counting-based (PRR) link aualitv assessment metric. 展开更多
关键词 wireless sensor networks link quality assessment symbol error received signal strength
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