Age-Driven Joint Sampling and Non-Slot Based Scheduling for Industrial Internet of Things

Effective control of time-sensitive industrial applications depends on the real-time transmission of data from underlying sensors.Quantifying the data freshness through age of information(AoI),in this paper,we jointly design sampling and non-slot based scheduling policies to minimize the maximum time-average age of information(MAoI)among sensors with the constraints of average energy cost and finite queue stability.To overcome the intractability involving high couplings of such a complex stochastic process,we first focus on the single-sensor time-average AoI optimization problem and convert the constrained Markov decision process(CMDP)into an unconstrained Markov decision process(MDP)by the Lagrangian method.With the infinite-time average energy and AoI expression expended as the Bellman equation,the singlesensor time-average AoI optimization problem can be approached through the steady-state distribution probability.Further,we propose a low-complexity sub-optimal sampling and semi-distributed scheduling scheme for the multi-sensor scenario.The simulation results show that the proposed scheme reduces the MAoI significantly while achieving a balance between the sampling rate and service rate for multiple sensors.

Deep Learning-Based Secure Transmission Strategy with Sensor-Transmission-Computing Linkage for Power Internet of Things

The automatic collection of power grid situation information, along with real-time multimedia interaction between the front and back ends during the accident handling process, has generated a massive amount of power grid data. While wireless communication offers a convenient channel for grid terminal access and data transmission, it is important to note that the bandwidth of wireless communication is limited. Additionally, the broadcast nature of wireless transmission raises concerns about the potential for unauthorized eavesdropping during data transmission. To address these challenges and achieve reliable, secure, and real-time transmission of power grid data, an intelligent security transmission strategy with sensor-transmission-computing linkage is proposed in this paper. The primary objective of this strategy is to maximize the confidentiality capacity of the system. To tackle this, an optimization problem is formulated, taking into consideration interruption probability and interception probability as constraints. To efficiently solve this optimization problem, a low-complexity algorithm rooted in deep reinforcement learning is designed, which aims to derive a suboptimal solution for the problem at hand. Ultimately, through simulation results, the validity of the proposed strategy in guaranteed communication security, stability, and timeliness is substantiated. The results confirm that the proposed intelligent security transmission strategy significantly contributes to the safeguarding of communication integrity, system stability, and timely data delivery.

Blockchain-Based Message Authentication Scheme for Internet of Vehicles in an Edge Computing Environment

As an important application of intelligent transportation system,Internet of Vehicles(IoV)provides great convenience for users.Users can obtain real-time traffic conditions through the IoV’s services,plan users’travel routes,and improve travel efficiency.However,in the IoV system,there are always malicious vehicle nodes publishing false information.Therefore,it is essential to ensure the legitimacy of the source.In addition,during the peak period of vehicle travel,the vehicle releases a large number of messages,and IoV authentication efficiency is prone to performance bottlenecks.Most existing authentication schemes have the problem of low authentication efficiency in the scenario.To address the above problems,this paper designs a novel reliable anonymous authentication scheme in IoV for Rush-hour Traffic.Here,our scheme uses blockchain and elliptic curve cryptography(ECC)to design authentication algorithms for message authentication between vehicles and roadside units(RSU).Additionally,we introduce the idea of edge computing into the scheme,RSU will select themost suitable vehicle as the edge computing node for message authentication.In addition,we used the ProVerif tool for Internet security protocols and applications to test its security,ensuring that it is secure under different network attacks.In the simulation experiment,we compare our scheme with other existing works.Our scheme has a significant improvement in computational overhead,authentication efficiency and packet loss rate,and is suitable for traffic scenarios with large message volume.

Multi-source heterogeneous data access management framework and key technologies for electric power Internet of Things

The power Internet of Things(IoT)is a significant trend in technology and a requirement for national strategic development.With the deepening digital transformation of the power grid,China’s power system has initially built a power IoT architecture comprising a perception,network,and platform application layer.However,owing to the structural complexity of the power system,the construction of the power IoT continues to face problems such as complex access management of massive heterogeneous equipment,diverse IoT protocol access methods,high concurrency of network communications,and weak data security protection.To address these issues,this study optimizes the existing architecture of the power IoT and designs an integrated management framework for the access of multi-source heterogeneous data in the power IoT,comprising cloud,pipe,edge,and terminal parts.It further reviews and analyzes the key technologies involved in the power IoT,such as the unified management of the physical model,high concurrent access,multi-protocol access,multi-source heterogeneous data storage management,and data security control,to provide a more flexible,efficient,secure,and easy-to-use solution for multi-source heterogeneous data access in the power IoT.

Analysis of Mobile and Internet Network Coverage: Propagation of Electromagnetic Waves and Concept of Digital Divide in Burundi

Mobile and Internet network coverage plays an important role in digital transformation and the exploitation of new services. The evolution of mobile networks from the first generation (1G) to the 5th generation is still a long process. 2G networks have developed the messaging service, which complements the already operational voice service. 2G technology has rapidly progressed to the third generation (3G), incorporating multimedia data transmission techniques. It then progressed to fourth generation (4G) and LTE (Long Term Evolution), increasing the transmission speed to improve 3G. Currently, developed countries have already moved to 5G. In developing countries, including Burundi, a member of the East African Community (ECA) where more than 80% are connected to 2G technologies, 40% are connected to the 3G network and 25% to the 4G network and are not yet connected to the 5G network and then still a process. The objective of this article is to analyze the coverage of 2G, 3G and 4G networks in Burundi. This analysis will make it possible to identify possible deficits in order to reduce the digital divide between connected urban areas and remote rural areas. Furthermore, this analysis will draw the attention of decision-makers to the need to deploy networks and coverage to allow the population to access mobile and Internet services and thus enable the digitalization of the population. Finally, this article shows the level of coverage, the digital divide and an overview of the deployment of base stations (BTS) throughout the country to promote the transformation and digital inclusion of services.

Management and Construction of University Books and Materials Under the Background of the Internet

The rapid development and popularization of Internet technology has provided important support for the informatization reform of various industries.University books and materials have the characteristics of large quantities and difficult storage and management.Its digital storage and management platform construction can effectively realize the digital storage and real-time retrieval of books and materials,and help students and teachers to find and use books and materials more quickly.Especially in recent years,with the update of intelligent platforms and other technologies,the resource-sharing platform of university books and materials can realize more convenient book information retrieval without the limitation of time and space.This paper mainly explores the optimization path and platform construction scheme of university libraries and information management under the background of the Internet,hoping to provide some theoretical references for university library managers.

Gut microbiota-astrocyte axis: new insights into age-related cognitive decline

With the rapidly aging human population,age-related cognitive decline and dementia are becoming increasingly prevalent worldwide.Aging is considered the main risk factor for cognitive decline and acts through alterations in the composition of the gut microbiota,microbial metabolites,and the functions of astrocytes.The microbiota–gut–brain axis has been the focus of multiple studies and is closely associated with cognitive function.This article provides a comprehensive review of the specific changes that occur in the composition of the gut microbiota and microbial metabolites in older individuals and discusses how the aging of astrocytes and reactive astrocytosis are closely related to age-related cognitive decline and neurodegenerative diseases.This article also summarizes the gut microbiota components that affect astrocyte function,mainly through the vagus nerve,immune responses,circadian rhythms,and microbial metabolites.Finally,this article summarizes the mechanism by which the gut microbiota–astrocyte axis plays a role in Alzheimer’s and Parkinson’s diseases.Our findings have revealed the critical role of the microbiota–astrocyte axis in age-related cognitive decline,aiding in a deeper understanding of potential gut microbiome-based adjuvant therapy strategies for this condition.

基于Agent的面向Internet的信息检索系统的设计和实现

根据面向Internet的信息检索系统的特点 ,文中阐述了一个基于Agent的面向Internet的信息检索系统(AIRS)的设计和实现 ,着重介绍了该系统的系统模型及各组成部分的设计思想。与目前流行的搜索引擎相比 ,本系统不仅具有良好的用户界面和多样的检索方式 ,而且提高了检索的精度、覆盖面和响应速度。

基于Internet的课件信息发现和收集Agent的研究

文中介绍一个基于Ｉｎｔｅｒｎｅｔ的信息检索系统：ＤＯＬＴＲＩ－Ａｇｅｎｔ．ＤＯＬＴＲＩ－Ａｇｅｎｔ用于从Ｉｎｔｅｒｎｅｔ上发现和收集用于远程开放教学（ｄｉｓｔａｎｃｅａｎｄｏｐｅｎｌｅａｒｎｉｎｇ，ＤＯＬ）中进行课件设计的教材信息．ＤＯＬＴＲＩ－Ａｇｅｎｔ采用多Ａ－ｇｅｎｔ（ｍｕｌｔｉ－ａｇｅｎｔ）体系结构，能够根据用户的需要主动、智能和协作地从Ｉｎｔｅｒｎｅｔ上各种信息资源（如数据库，ＷＷＷ服务器等）处发现和收集教材信息，并对搜集到的教材信息进行管理和维护．文中主要针对Ａｇｅｎｔ的协作性、互操作性和运行环境讨论ＤＯＬＴＲＩ－Ａｇｅｎｔ提出的解决方案．

基于Multi-agent技术的Internet信息挖掘研究

介绍了Multi-Agent系统的概念，提出了具有Control-agent的Multi-agent系统，在此基础上分析了一种基于Multi-agent技术进行Internet信息下载和信息挖掘的模型及具体实现方法，并结合实际应用，介绍了可实现比较购物功能的WebDruid系统。

Internet环境中的软件Agent

1 引言 Internet已经成为最重要的信息来源,由于In-ternet中的信息没有中心的控制点,多为半结构化和无结构的信息,信息格式可以互不相同,信息服务形形色色,用户的需求也不象数据库的数据操作那样明确和直接对应于某种操作语言,Internet环境中的信息处理比起传统的数据库技术来说要复杂得多,需要新的软件技术提供支持。目前Agent(Agent)技术在Internet上的应用迅速增加,在增加服务质量,提高易用性,信息发现和过滤,信息用户化和任务自动执行方面表现出很大的应用潜力。

Internet网上智能检索Agent的信息检索方法

文章介绍了一种Ｉｎｔｅｒｎｅｔ 网上智能检索Ａｇｅｎｔ 的取词方法，并且把机器学习技术应用到这种取词方法中。Ａｇｅｎｔ 通过对样本文档标题关键短语的提取，产生决策树，然后生成布尔查询串，自主地在Ｉｎｔｅｒｎｅｔ 网上进行信息检索。

基于多Agent的Internet信息涉密检查系统

该文给出了基于多Agent的Internet信息涉密检查系统(IISIS)的设计方案,详细论述了IISIS体系结构、Agent角色分配、能力结构以及IISIS中多Agent协作协调算法。该系统可以有力配合保密部门针对Internet信息服务器进行高效快速的涉密检查,其实用性已得到实践验证。

Internet上的移动Agent技术

移动 Ａｇｅｎｔ技术已成为计算机网络和分布式系统最具活力的发展方向，文中对移动Ａｇｅｎｔ概念、移动Ａｇｅｎｔ的特点、移动Ａｇｅｎｔ与传统技术的比较、实现移动Ａｇｅｎｔ面临的技术障碍及移动Ａｇｅｎｔ的应用等方面内容进行了讨论。

一种Internet环境下移动Agent通信机制

移动Agent间的通信机制是开发移动Agent系统的基础,但以前的通信机制均无法适用于目前规模庞大的Internet环境,本文提出了一种新颖的Internet环境下的移动Agent的通信机制ASRP。该机制包括移动Agent的创建、寻址、通信模型以及对通信失效问题的解决等,具有简单,高效,可靠等优点。

基于Internet的DOL教材信息发现和收集Agent

介绍一个基于多Ａｇｅｎｔ（ｍｕｌｔｉ－ａｇｅｎｔ）体系结构的信息检索系统：ＤＯＬＴＲＩ－Ａｇｅｎｔ．ＤＯＬＴＲＩ－Ａｇｅｎｔ用于从Ｉｎｔｅｒｎｅｔ上发现和收集用于远程开放教学（ＤｉｓｔａｎｃｅａｎｄＯｐｅｎＬｅａｒｎｉｎｇ，简称ＤＯＬ）中进行教材设计的教材信息．ＤＯＬＴＲＩ－Ａｇｅｎｔ根据用户需要和任务模型主动、智能和协作地搜索Ｉｎｔｅｒｎｅｔ上的各种信息资源（如数据库，ＷＷＷ服务器等），对搜集到的教材信息归类存储，实时地更新本地教材信息库以与外部信息源保持动态一致．它还接收Ｉｎｔｅｒｎｅｔ信息空间中其他教材信息搜集Ａｇｅｎｔ和其他类型Ａｇｅｎｔ的服务请求，开放地与其他Ａｇｅｎｔ进行互操作。

基于Internet的多Agent群决策支持系统的实现

结合Agent技术和Internet网络平台 ,提出了一种新的决策支持系统———基于Internet的多Agent群体决策支持系统。介绍了该系统流程及组织结构 ,并着重阐述了该系统的技术实现 ,包括专家Agent、决策管理Agent、各Agent之间的协同、模型库和模型库管理Agent。

Internet网络上的智能检索Agent体系结构及其学习方法

介绍了当前 Ｉｎｔｅｒｎｅｔ 网的现状及智能检索 Ａｇｅｎｔ 的发展状况．结合实际情况，提出了一种新的智能检索 Ａｇｅｎｔ 的体系结构，并着重阐述了其集成机器学习模型．

Internet上的软件Agent

本文首先介绍Agent的基本概念及其相关理论、体系结构和语言。然后较详细地介绍软件Agent方面的典型工作。最后,阐释Internet软件Agent有关思想,并给出一些相应的研究结果。

基于Internet的多Agent群体决策支持系统研究

在总结了传统群体决策支持系统的框架的基础上 ,结合 Agent技术和 Internet网络平台 ,提出了一种基于Internet的多 Agent群体决策支持系统框架。重点介绍了框架的系统流程和结构 ,并对其结构功能进行了详细叙述。