基于多智能体的无线传感器网络仿真平台的研究

Research on Simulation Platform of Wireless Sensor Network Based on Multi-Agent

超大规模的无线传感器网络系统通过个体协同表现出群体智能行为特性,其理论分析和物理实验系统构建的困难使得仿真成为目前的主要研究手段。因此,采用基于角色的面向Agent程序设计方法,从体系结构、角色类划分、角色间关系、角色绑定以及Agent类设计等方面论述了无线传感器网络仿真平台的设计与实现。该平台不仅能模拟无线传感器网络系统的功能执行,而且能体现其群体智能行为特征。

The super large-scale WSN （Wireless Sensor Network） system demonstrates swarm-intelligent behavior characteristics through collaboration among nodes, Its theory analysis and physics experimental system build-up are difficult so that simulation becomes an important means for WSN R＆D work. Therefore, using role-based Agent-oriented programming methodology, a complicated WSN simulation platform was designed and implemented, And main thought and processes of design and development were described, such as role class division, relation among role classes, role banding, Agent class design and so on. Results show that this platform not only can emulate function perform of WSN but also can exhibit its feature of swarm-intelligent behavior.