基于虚拟力的LoRa浮标网络覆盖优化算法

无线传感网络（WSN）节点部署问题是目前无线传感网络应用研究的关键点。针对传统网络节点部署存在收敛速度慢、全局优化性能不强、感知角度受限的问题，提出一种虚拟力导向的全向感知覆盖算法（VFOPCA）。该算法在传统虚拟力算法的基础上提出热点区域与节点间的受力模型，并采用0/1圆盘覆盖模型，对网络节点部署进一步优化。实验仿真表明，虚拟力导向的全向感知覆盖算法能快速有效地实现网络节点全局优化部署，与VFA、DACQPSO等全向感知模型算法相比，该算法覆盖程度更好、收敛速度更快、能耗程度更低。

LoRa buoy network coverage optimization algorithm based on virtual force

The WSN node deployment problem is the key point of current wireless sensor network application research. For the traditional network node deployment, the convergence speed is slow, the global optimization performance is not strong, and the perception angle is limited, this paper proposed a virtual force-oriented omnidirectional perceptual coverage algorithm(VFOPCA). Based on the traditional virtual force algorithm, the algorithm proposed the force model between hotspot region and node, and adopted the 0/1 disc cover model to further optimize the network node deployment. The experimental simulation shows that the virtual force-oriented omnidirectional perceptual coverage algorithm can quickly and effectively realize the global optimization of network nodes. Compared with omnidirectional perceptual model algorithms such as VFA and DACQPSO, the algorithm has better coverage, faster convergence and lower energy consumption.