Research Of The Key Parameter Optimization Of Underwater Acoustic Communication In Underwater Sensor Networks

Underwater Sensor Networks (UWSNs) is an underwater network monitoringsystem, which is composed of acoustic communication and computing power sensornode. And recently, it has become the research focus, due to its widely applicationin the field of marine resource exploration, pollution monitoring, assistednavigation and tactical surveillance. Currently, underwater sensor nodes use soundwaves to achieve communication, and energy consumption and delay are the keyindicators. In order to complete the target of short delay and low energyconsumption, this article takes two key parameters into account, which is packetlength and transmit power. We achieve the optimal combination of packet lengthand transmit power offline in a variety of environments and conditions bydesigning an optimization algorithm to guide the actual online applicationparameters, which has theoretical significance and practical value.The main innovations are as follows:(1)We construct the ECTD model, which is a model of underwater acousticcommunication energy consumption and time delay. We take MAC protocol andchannel encoding into consideration to reveal the relationship between underwateracoustic communication energy consumption and time delay and packet length,transmit power, wireless transceivers, communication protocol and channelencoding.(2)We propose an optimization algorithm based on Quantum Immune CloneAlgorithm (QICA). We design an optimization algorithm by using QICA’sadvantage of high accuracy of solution and global optimization ability to achievethe optimal combination of packet length and transmit power offline in a variety ofenvironments and conditions. Meanwhile, we define an indicator of accuracy ofsolution to show the performance of the algorithm. In the simulation, high accuracyof solution and high success rate are proved by numerous experiment results.