云信任驱动的物联网信息资源分层共享仿真

针对传统的物联网信息资源分层共享方法存在开销大等问题,提出云信任驱动的物联网信息资源分层共享方法。根据物联网中心资源模型,将物联网信息资源分为时间模型、Web负载模型以及信息资源中心传输模型。全面分析物联网信息中心资源对外提供的服务以及各个资源基本模型之间的交互关系,组建物联网信息中心资源分层共享模型,采用自适应粒子群算法优化分层模型的早熟收敛问题,实现云信任驱动的物联网信息资源分层共享。经仿真证明,所提方法具有开销小、检索快速以及资源利用率高的问题。

Simulation of IoT Information Resources Hierarchical Sharing Method Driven by Cloud Trust

In the traditional method,the overhead is high.Therefore,a layered sharing method of IoT information resources based on the cloud trust drive was proposed.According to the center resource model,the IoT information resources were divided into a time model,a Web load model and a data center transmission model.The services provided by the Internet of things information center resources and the interaction between various resource basic models were comprehensively analyzed,and then the layered resource sharing model of the Internet of Things information center was established.Finally,the adaptive particle swarm optimization algorithm was used to optimize the premature convergence problem of layered model.Thus,the layered sharing of IoT information resources based on the cloud trust drive was achieved.Simulation proves that the proposed method has the advantage of low overhead,fast retrieval and high resource utilization.