It is an effective method to observe the disaster areas using wireless sensor networks (WSNs) to enhance the effect of the disaster prevention and assistance. The link quality of a wireless link under a disaster monitoring scenario is strongly uncertain. This uncertainty leads to characteristics of intermittent or regional connection and may further result in unstable or failed transmission of data. A clustering routing algorithm based on link quality is proposed to resolve this problem. Firstly, a link quality estimation model based on GBDT (Gradient Boosting Decision Tree) algorithm is constructed to determine the PRR (Packet Reception Rate) based on RSSI (Received Signal Strength Indication), LQI (Link Quality Indicator) and SNR (Signal to Noise Rate). *This is an abstract only. No full paper was prepared for this abstract.*
CITATION: Hu, Q S, Luo, D W, Zhang, M X and Li, S Y, 2019. Clustering routing based on link quality estimation for disaster monitoring sensor network, in Proceedings Future Mining 2019, p 130 (The Australasian Institute of Mining and Metallurgy: Melbourne).