CCI-Based Link Quality Estimation Mechanism for Wireless Sensor Networks under Perceive Packet Loss

摘要

This paper proposes a CCI-Based (ChipCorrelation Indicator) link quality estimation mechanismfor wireless sensor networks, which is used under the caseof perceive packet loss. This mechanism studies on therelationship model between CCI and PRR (Packet ReceiveRate) under the case of perceive packet loss, which iscarried out on the foundation of doing analysis of thesending and receiving process of data frame and the factorswhich affect link quality. The building of the CCI-PRRrelationship model is divided into two parts: the first is thebuilding of CCI-SER (Symbol Error Rate) relationshipmodel, and the second is the building of SER-PRRrelationship model. During estimation period, nodescontinuously track the CCI, and Kalman Filter is used to dodenoising of CCI due to the large fluctuating range of theraw CCI. Then the denoised CCI is mapped into a localCCI-PRR mapping model to get the corresponding PRR.Experiment results have validated the correctness of theCCI-PRR mapping model, and the results also show thatcompared with counting-based PRR estimation mechanism,the mechanism proposed in this paper can use fewer probepackets to get a relatively accurate estimation value, it hasthe advantage of decreasing extra energy consumptioncaused by sending large number of probe packets.