水下传感器网络部署优化研究

水下传感器网络具有广阔的应用前景,但也存在能量有限、延迟较长、部署区域不连通和通信能耗大等问题,理论和实践证明传感器节点的优化部署是解决已上问题的有效方法。为此综合考虑水下传感器网络的工作环境及传感器特性,建立了提高网络可靠性的网络部署模型,给出了网络部署的成本函数及约束条件,并使用遗传算法对传感器节点和中转节点的部署成本及网络生命周期内的能量消耗进行优化。通过仿真实验表明,该模型收敛速度快,部署节点结果合理,达到了较好的优化网络的目的。

Optimal Deployment of Underwater Sensor Network

Underwater Sensor Network(USN) has a wide application in many areas,but it has the problem including energy constraint,long delay,separated sensor areas and great communication cost.It has been proven that suitable deployment of under water sensors for efficient monitoring can improve the performance of USN effectively.A network deployment model for improving the network reliability has been proposed by comprehensive considering the underwater geographical environment and the sense properties.In order to solve the model,cost function with the constraint conditions has been given.Based on the genetic algorithm,the cost and the energy consumption of the deployment method have been computed.The simulation of a typical case shows that the proposed method could optimize the deployment of underwater sensors in a fast convergence speed.