基于模糊集理论的Ad Hoc网络优化的研究

为了提高Ad Hoc网络的综合性能,满足不同领域对Hd Hoc网络的应用需求,基于模糊集理论（FST）提出了一种对Ad Hoc网络的优化的方法,构建了包含新增覆盖网络节点数量相对度和剩余能量相对度的评价指标集合、等级标准集合,并定义了评价指标相关的权重. 利用模糊集理论的关系合成运算法则,对Ad Hoc网络重播分组时进行优化,达到了对Ad Hoc网络优化的目的. 基于网络模拟器NS-3对FSTA和BCAST进行了仿真实验测试,通过对网络生命周期、丢包率和网络吞吐率3个性能指标的对比分析和评估,结果表明FSTA优于BCAST,验证了FSTA对Ad Hoc网络优化的有效性,改善了Ad Hoc网络的性能. 

Research on Ad Hoc Network Optimization Based on Fuzzy Sets Theory

In order to improve the comprehensive performance of Ad Hoc network and satisfy the application the need to Hd Hoc network in different fields, a Ad Hoc network optimization method was proposed based on fuzzy set theory (FST). And an evaluation index set and degree standard set were also constructed, which contain the relative degree of new overlay network node number and the relative degree of residual energy, and the relative weight to evaluation index was defined. The relation synthesis algorithm rules of fuzzy set theory were applied to optimize the replay packet for Ad Hoc network. Based on network simulator NS-3, a simulation test of FSTA and BCAST was conducted. Comparing and evaluating the capability about network lifetime, packet loss and network throughput, results show that FSTA is more excellent than BCAST, verify the FSTA validity on Ad Hoc network optimization and improvement performance of Ad Hoc network.