Ad Hoc网络中基于上下文认知机制的策略管理模型

针对Ad Hoc网络自我感知与自适应调整不够迅速和准确的问题,在构建节点上下文知识层次结构的基础上,通过建立分布式策略库,将负载均衡到网络的各个节点中,保持管理策略的一致性和维持较低的开销.将上下文认知模块划分为上下文知识库CKR、上下文智能管理工具CIMT、上下文知识决策点CKDP和上下文知识收集点CKCP等四个层次并与分布式策略管理模块进行有机整合,提出了一种基于分层协同上下文认知机制的分布式策略管理模型.该模型能为Ad Hoc网络动态自适应分簇组网算法的设计提供参考和支撑.

Policy Management Model for Ad Hoc Network Based on Context Aware Mechanisms

In Ad Hoc networks, the self- aware and adaptive capacities are not quick and accurate enough. To tackle this problem, the author intends to construct the hierarchy of the nodes＇ context knowledge, balance the loads in various nodes through the establishment of a distributed policy repository, maintaining the consistency of management strategies with low overhead. Divide the cognitive module of context into four levels as CKR, CIMT, CKDP and CKCP, integrating with the distributed policy management module as well. The author presents a hierarchical distribute policy management model based on collaborative context of cognitive mechanisms, which can provide reference and support for the dynamic adaptive clustering algorithm design of Ad Hoc Networks.