A LoRa Buoy Network Coverage Optimization Algorithm Based on Virtual Force

Abstract

The wireless sensor network (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. A virtual force is proposed. Oriented omnidirectional perceptual coverage algorithm (VFOPCA). Based on the traditional virtual force algorithm, the algorithm proposes the force model between hotspots and nodes, and adopts 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 the traditional virtual force algorithm, the algorithm has better coverage effect, higher convergence speed and lower energy consumption.