一种基于模糊推理的自组网成簇控制策略

Clustering control strategy based on fuzzy reasoning in MANET

研究了模糊控制技术的使用.对于每种度量,定义了相应的模糊隶属度函数用于预测一个更稳定的链路,实现了一个模糊推理规则库以产生每种链路的模糊代价,并提出一种基于移动预测机制的δ-度约束的分布式成簇策略.成簇问题可归结为寻找一个极大独立集问题,给出了算法及其正确性证明.仿真结果表明,该方法的稳定性优于HD算法和LCC算法.

The use of fuzzy controlling techniques is investigated. For each metric, a fuzzy membership function is defined to predict a more stable link. A fuzzy-inference rule base is implemented to generate the fuzzy cost of each link. A δ-degree clustering algorithm based on a mobility prediction scheme is proposed in a distributed manner. The clustering can be reduced to finding a maximal independent set (MIS) problem. An algorithm is proposed, and the correctness of the algorithm is proved. Simulation results show that the proposed scheme outperforms LCC and HD clustering algorithms.