The Method of Allocating Resources for Ideological and Political Education in Universities Based on IoT Technology

Weixia Han, Sun Li
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引用次数: 1

Abstract

The traditional resource sharing method allocates resources according to their importance and node weight ranking, which leads to uneven distribution of node loads and resource allocation with less efficiency and high energy consumption. In order to solve the above problems, the method of resource allocation of college ideological and political education based on Internet of Things (IoT) technology is studied. The IoT technology is used for establishing the communication Internet of Things or for sharing college ideological and political education resources, and the MCTS algorithm is used to search for college ideological and political education resources. For the case of education resources in colleges and universities, according to the simple semantic reasoning for establishing the mapping relationship between education resources and distribution of nodes, we realise the allocation of resources for education. The test experiment results show that the researched resource allocation method has low allocation delay and reduces at least about 23.7% of energy consumption, which is more effective.
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基于物联网技术的高校思想政治教育资源配置方法
传统的资源共享方法根据资源的重要性和节点权重排序来分配资源,导致节点负载分布不均匀,资源分配效率低,能耗高。为解决上述问题,研究了基于物联网技术的高校思想政治教育资源配置方法。利用物联网技术建立通信物联网或共享高校思想政治教育资源,利用MCTS算法搜索高校思想政治教育资源。以高校教育资源为例,根据建立教育资源与节点分布映射关系的简单语义推理,实现教育资源的配置。测试实验结果表明,所研究的资源分配方法具有较低的分配延迟,至少可降低约23.7%的能耗,是一种更为有效的资源分配方法。
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