S³LQA: A Link Quality Assessment Metric for WSNs Based on Symbol Error and Received Signal Strength

Lin-Lan Liu^1,2, Chao Zang^1,2, Jian Shu^1,3, Lin-Xin Zeng^1,3, Sarah Morrison⁴ª¤

(1. Internet of Things Technology Institute, Nanchang Hangkong University, Nanchang 330063, China;2. School of Information Engineering, ª¤Nanchang Hangkong University,Nanchang 330063, China;3. School of Software, Nanchang Hangkong University, Nanchang 330063, China;ª¤4. Wheaton College, Traverse 56296, America)ª¤ª¤ª¤



Abstract:

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 improving link quality assessment methods on physical layer is still open to research. To tackle this issue, a 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 better real-timing performance than traditional counting-based (PRR) link quality assessment metric.ª¤

Key words:  wireless sensor networks  link quality assessment  symbol error  received signal strengthª¤

DOI£º10.11916/j.issn.1005-9113.2013.02.007

Clc Number:TN91

Fund: