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

This paper proposes a CCI-Based (Chip Correlation Indicator) link quality estimation mechanism for wireless sensor networks, which is used under the case of perceive packet loss. This mechanism studies on the relationship model between CCI and PRR (Packet Receive Rate) under the case of perceive packet loss, which is carried out on the foundation of doing analysis of the sending and receiving process of data frame and the factors which affect link quality. The building of the CCI-PRR relationship model is divided into two parts: the first is the building of CCI-SER (Symbol Error Rate) relationship model, and the second is the building of SER-PRR relationship model. During estimation period, nodes continuously track the CCI, and Kalman Filter is used to do denoising of CCI due to the large fluctuating range of the raw CCI. Then the denoised CCI is mapped into a local CCI-PRR mapping model to get the corresponding PRR. Experiment results have validated the correctness of the CCI-PRR mapping model, and the results also show that compared with counting-based PRR estimation mechanism, the mechanism proposed in this paper can use fewer probe packets to get a relatively accurate estimation value, it has the advantage of decreasing extra energy consumption caused by sending large number of probe packets.