CAJ | 학술논문

为有效指导三维环境中的移动自组织无线网络(MAWN)的部署,并提高网络感知能力,受鱼群启发,构建了一种新型三维节点半随机移动模型(3D_NMM)。本文在三维高斯半马尔科夫移动模型(3D-SGM)上增加节点排斥运动状态,设计了新的节点状态转换方式；在随机路点移动模型上构建虚拟边界,提出了一种新的边界处理方法。仿真实验表明,3D_NMM较3D-SGM在空间探测率、实时覆盖率及初始探测花费上具有优势,其中实时覆盖率提高了62.2%,初始探测95%区域的时间花费降低了77%,有效提升了移动无线自组织网络的应用效能。
위유효지도삼유배경중적이동자조직무선망락(MAWN)적부서,병제고망락감지능력,수어군계발,구건료일충신형삼유절점반수궤이동모형(3D_NMM)。본문재삼유고사반마이과부이동모형(3D-SGM)상증가절점배척운동상태,설계료신적절점상태전환방식；재수궤로점이동모형상구건허의변계,제출료일충신적변계처리방법。방진실험표명,3D_NMM교3D-SGM재공간탐측솔、실시복개솔급초시탐측화비상구유우세,기중실시복개솔제고료62.2%,초시탐측95%구역적시간화비강저료77%,유효제승료이동무선자조직망락적응용효능。
In order to deploy mobile Ad-Hoc wireless networks (MAWN) effectively in 3D environment and improve its detection capability, inspired by the fish swarm, a new three-dimensional semi-random node mobility model (3D_NMM) is proposed. In this paper, a new node state of exclusive motion is added in 3D smooth Gauss Semi-Markov mobility model (3D-SGM), and a new way of node state transition is also presented. The virtual boundary is built in random waypoint mobility model (RWP), and a new boundary treatment method is presented. The simulation experiments show that the 3D_NMM has superior performance in space detection rate, real-time coverage rate and the time cost of the initial detection compared with 3D-SGM. The real-time coverage rate increases by 62.2%, and the time cost for initial detection area of 95% reduces by 77%, and 3D_NMM can improve the application efficiency of mobile wireless self-organized network effectively.