论文标题
使用遗传算法的水下声传感器网络的节能路由
Energy Efficient Routing For Underwater Acoustic Sensor Network Using Genetic Algorithm
论文作者
论文摘要
在水下声学传感器网络（UWASN）中，可靠的数据传输是一项具有挑战性的任务。这是由于噪声过多，较长的传播延迟，高级错误率，有限的带宽能力和干扰引起的声传播干扰引起的。 UWASN最重要的研究之一是如何延长数据传输的寿命。对于研究人员来说，从源节点到UWASN中的目标节点是一个复杂的主题。在过去的几年中，已经开发了许多路由算法，例如向量基础转发和深度基础路由。我们提出了一种基于遗传算法的优化方法，用于提高从源节点到目标节点的路由路径中数据传输的能效。
In underwater acoustic sensor networks (UWASN), energy-reliable data transmission is a challenging task. This is due to acoustic transmission disturbances caused by excessive noise, exceptionally long propagation delays, a high bit error rate, limited bandwidth capability, and interference. One of the most important issues of UWASN for research is how to extend the life span of data transmission. Data transfer from a source node to a destination node in UWASN is a complicated topic for researchers. Many routing algorithms, such as vector base forwarding and depth base routing, have been developed in past years. We propose a genetic algorithm-based optimization method for improving the energy efficiency of data transmission in the routing path from a source node to a destination node.
