A Coverage and Connectivity of WSN in 3D Surface Using Sailfish Optimizer

Abstract

Coverage and connectivity in the 3D surface of sensor nodes as the mountain is a critical problem in a wireless sensor network (WSN). This paper suggests a solution to multi-connectivity deployment WSN coverage based on combining Sailfish optimizer (SFO) with the characteristic of 3D surface topography. The target area divided into mesh grids of a size to establish the multiconnectivity of every grid. The cover set constructed through the direction gradient probabilistic model and connected graph and the joint points to graph within the grid by optimizing SFO. A large number of simulation experiments show that the proposed method can cover the target region and guarantee the connectivity and robustness of the network．