Abstract
ABSTRACTIn this paper, an underwater implementation of incremental networks based on visible light communication technology is described and analysed. The underwater distance between transmitter and receiver nodes and the salinity and temperature levels of the water yield stochastic properties of the link that can be modelled with the Log-normal distribution. The incremental network performance can be expressed using excess mean square error and Mean square deviation metrics. Our findings showed that the distance between nodes must not exceed 10 metres; if it does, the network performance will diverge from its estimation goal. The performance is analysed through multiple link distances and results are presented for simulations. The impacts of various salinity and temperature levels are analysed simultaneously.
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