A Multi-Hop Clustering Fusion Routing on Water Environment Wireless Sensor Network

Sensor technology has been used in water environment, which comes into being a water environment wireless sensor monitoring network. Monitoring data in the network slowly change, so we propose a geographical energy-efficient multi-hop clustering fusion routing algorithm based on multilayer perceptron (MLP-GEEMHCFR) in this paper to reduce transmittingdata and save the network energy.The algorithm is implemented by initialization phase, stabilization phase and data fusion phase. A multilayer perceptron (MLP) neuronal function model is designed in the data fusion stage using the MLP, and effect of neuron thresholds on the algorithm fusion efficiency is analyzed in detail. The simulation results show that the performance of the MLP-GEEMHCFR is better than a geographical energy-efficient multi-hop clustering routing (GEEMHCR) algorithm without fusion. The data fusion efficiency increases with the neuron threshold.But when the neuron threshold is up to 1 or more, the increasing trend becomesslowly.