传感器网络中基于移动代理的数据融合框架设计

使用移动代理进行数据融合相比于传统的数据融合方法拥有诸多优势.设计了一种基于移动代理的数据融合框架;通过定义目标函数,采用遗传算法求解框架中移动代理的最优路由策略;提出了一种基于分辨率的并行量化交叠的数据融合算法RPQO作为框架中的融合策略.仿真结果表明基于移动代理的数据融合框架能够有效地将融合策略和基于移动代理的路由策略整合起来,取得比传统数据融合算法更好的性能,其优势随着网络节点规模的增长更为明显.

Framework for Mobile Agent-based Data Fusion in Sensor Network

Mobile agent based method for data fusion has the advantage over the traditional fusion method in sensor network. This paper derelops a framework for mobile agent-based data fusion, whose routing strategy is implemented by using genetic algorithm. Also a resolution based parallel quantifying overlapping algorithm named RPQO is proposed for the fusion strategy. The simulation results show that the framework integrates the route strategy with the fusion strategy well and its advantage over the existing algorithms becomes more evident as the node size increases.