WSN Coverage Research Based On Improved Artificial Bee Colony Algorithm

In the development and application of wireless sensor networks(WSN),network coverage rate is one of the important criteria to measure the performance of wireless sensor networks.Based on this,this paper research the coverage of two-dimensional wireless sensor network and three-dimensional video sensor network.Because both of them are used in the coverage application of WSN,they are collectively called the coverage of WSN.The research contents of this paper mainly include the following aspects:1.Firstly,the research purpose and significance are introduced,and the state of art of WSN is briefly described.Secondly,the basic coverage problem of WSN is introduced.In addition,the coverage problem for different targets and different sensor node models are described,and the model used in this paper is explained.Finally,it introduces the literature about WSN coverage,analyzes and compares the different literature algorithms.2.Then,the basic knowledge,principle and thought of artificial bee colony optimization algorithm(ABC)are introduced.After that,some problems in the optimization process of ABC are analyzed.Aiming at the problem that the ABC is easy to fall into the local optimum in the process of searching for honey source,an improved artificial bee colony algorithm(IABC)is proposed.On the basis of IABC,a hybrid artificial bee colony optimization algorithm was proposed to solve the problem of missing the optimal nectar source in the process of local optimization.Then the advantages of the hybrid artificial bee swarm optimization algorithm are verified by the classical test function.3.Aiming at the N-P problem of node coverage in the wireless sensor network,the two-dimensional target area is divided into grids,and then a WSN coverage method based on artificial bee swarm optimization algorithm is designed to solve the N-P problem of network coverage.The experiment shows that the coverage of IABC algorithm is better than the standard particle swarm optimization algorithm and the standard artificial bee swarm optimization algorithm under the condition of the same sensing radius of sensor nodes,and the sensor nodes in the target area are relatively more evenly distributed.In order to further verify the superiority of the algorithm,experiments were carried out under the conditions of different number of nodes,different number of nodes and perceived radius respectively,which all showed that the algorithm performed well indeed.Aiming at the problem of video sensor network coverage on 3d curved surface,the video sensor node model is first introduced,and then the hybrid artificial swarm optimization algorithm is applied to the concrete 3D curved surface to cover the video sensor network.Finally,according to the hybrid artificial bee colony optimization algorithm,the video sensor nodes on the surface of the 3D surface to adjust the tilt Angle and deflection Angle.Experimental results show that the proposed hybrid algorithm is superior to other algorithms in terms of video sensor network coverage on 3D surface.