基于人工势场的水下传感器网络部署优化策略

Deployment Optimization Strategy for Underwater Sensor Networks Based on Artificial Potential Field

对水下传感器网络移动节点的位置进行调整以提高传感器网络的有效覆盖率具有重要现实意义.根据水下传感器网络的特点,提出基于人工势场的分布式水下传感器网络部署优化算法UPFA(Underwater deployment based on Potential Field Approach).混合传感器网络部署优化问题可以转化为漏洞修复问题,覆盖的漏洞会对移动节点产生虚拟吸引力.仿真结果表明,UPFA算法能够引导水下的移动节点修复水下传感器网络的覆盖漏洞,显著提高水下传感器网络的有效覆盖率.

It is of realistic significance to adjust the position of the mobile nodes in the underwater sensor network to improve the effective coverage rate.According to the characteristics of underwater sensor networks,a distributed deploymnt algorithm based on artificial potential field UPFA（underwater deployment based on potential field approach）was proposed.The deployment optimization problem of hybrid sensor network can be converted into the problem of loopholes fixing.The covering loopholes produce a virtual attraction force on the mobile nodes.Simulation results show that the UPFA algorithm can optimize the position of mobile nodes in three-dimensional underwater space,guide the mobile nodes to repair the coverage holes and significantly improve the effective coverage rate of the underwater sensor network.