物联网技术在地灾防治及应急救灾中的应用探讨

通过对国土地质灾害防治背景、业务场景与需求的深入分析,综合应用NFC、物联网专网、通信模组、开放云平台、无人机等物联网领域技术,结合大数据智能分析决策技术、地理信息技术提供了一套标准化、智能化地质灾害防治及应急救灾解决方案,以实现地质灾害从调查、勘查、防治、监测预警到应急指挥救援等全业务流程管理,为物联网技术应用于国土地质灾害防治及应急救灾提供了新思路.     

基于SMIoT的软件定义移动自组织物联网组网机制研究

文章充分结合SDN集中管控、MANET分布灵活和IoT智能感知的优势,采用SDN+MANET+IoT的思路实现异构网络融合组网,满足智能巡检的需求。利用可编程性高的树莓派智能小车作为IoT硬件平台,并在此基础上搭建分布式MANET网络,实现智能小车集群的自组织组网。同时,为实现智能巡检和相互协作,将OVS交换机移植到树莓派平台,利用扩展的OpenFlow协议,对分布式智能小车集群实施基于SDN技术的集中管控,统一管理集群的物理感知能力、移动监控能力和数据转发能力,进而搭建SMIoT。     

面向智能电网双向互动信息服务的通信组网方案设计

以建设智能电网对于智能用电的需求为出发点,研究了智能用电的关键技术以及智能用电新型服务,针对不同的用户设计了面向智能电网的双向互动信息服务系统以及通信组网方案。采用先进的双向互动通信技术、智能交互终端技术以及智能表计技术,为电网和用户之间的互动提供可靠的信息通道和网络支撑,并对应用层信息互动平台提出建设方案,构建了电网...     

Human machine interactive system on smart home of IoT

Along with the development of human-computer interaction technology and improvement of people's living standards, study of Internet of things (IoT) has become the focus for years. Meanwhile, smart home system has drawn more and more attention in IoT. In correlative research, artificial psychology theory and the harmony of human-computer interaction play an important role in smart home of IoT. In this study, software platform of the management system in smart home is designed, and users are Chinese. So the language in the system is Chinese. To analyze the basic interaction between users and computer, calendar, weather forecast, internet browsing, several electrical models are designed. To deal with the humanized interaction between human and computers, some features are implemented such as: analysis of emotional models, creation of the emotional models, text emotion recognition, and other basic functions in human-computer interaction.     

基于云服务实现智能家居应用控制的方案

智能家居设备如何接入网络,智能控制终端如何控制智能家居设备,智能家居设备及应用管理平台如何对用户和设备进行管理,这些问题的解决方案伴随着智能家居应用的快速发展不断变化。首先讨论了智能家居业务的应用控制方式,然后引出应用控制的关键逻辑分层结构,在关键逻辑分层结构的基础上,讨论基于云服务的应用控制方案,最后给出总结。     

Reliable and secure data transfer in IoT networks

With the rapid technological improvements in mobile devices and their inclusion in Internet of Things (IoT), secure key management becomes mandatory to ensure security of information exchange. For instance, IoT applications, such as smart health-care and smart homes, provide automated services to the users with less or no user intervention. As these application use user-sensitive data, ensuring their security and privacy should be paramount, especially during the key management process. However, traditional approaches for key management will not suit well in IoT environment because of the inherent resource constraint property of IoT devices. In this paper, we propose a novel distributed key management scheme for IoT ecosystem. The proposed scheme efficiently provides security to IoT devices by delegating most of the resource consuming cryptographic processing to a local entity. This entity coordinates with other peer entities to provide a distributed key as well as an authentication mechanism to network devices. In particular, the proposed scheme exploits the advantages of mobile agents by deploying them in different subnetworks as and when required: (1) to process the cryptography work for the IoT devices, and (2) to act as an local authenticated entity to perform fast authentication process. To verify the effectiveness and correctness of our proposed scheme, we have simulated it in a large IoT scenario and evaluated against relevant metrics that includes user mobility, certification generation time, and communication overhead.

     

A systematic literature review of machine learning applications in IoT

The Internet of Things (IoT) is a network of interconnected smart objects having capabilities that collectively form an ecosystem and enable the delivery of smart services to users. The IoT is providing several benefits into people's lives through the environment. The various applications that are run in the IoT environment offer facilities and services. The most crucial services provided by IoT applications are quick decision for efficient management. Recently, machine learning (ML) techniques have been successfully used to maximize the potential of IoT systems. This paper presents a systematic review of the literature on the integration of ML methods in the IoT. The challenges of IoT systems are split into two categories: fundamental operation and performance. We also look at how ML is assisting in the resolution of fundamental system operation challenges such as security, big data, clustering, routing, and data aggregation.     

A review on smart home present state and challenges: linked to context-awareness internet of things (IoT)

The smart home is considered as an essential domain in Internet of Things (IoT) applications, it is an interconnected home where all types of things interact with each other via the Internet. This helps to automate the home by making it smart and interconnected. However, at the same time, it raises a great concern of the privacy and security for the users due to its capability to be controlled remotely. Hence, the rapid technologically growth of IoT raises abundant challenges such as how to provide the home users with safe and secure services keeping privacy in the account and how to manage the smart home successfully under the controlled condition to avoid any further secrecy or theft of personal data. A number of the research papers are available to address these critical issues, researchers presented different approaches to overcome these stated issues. This research review will analyze smart home approaches, challenges and will suggest possible solutions for them and illustrate open issues that still need to be addressed.

     

Smart integrated IoT healthcare system for cancer care

The emergence of the internet of things (IoT) has drastically influenced and shaped the world of technology in the contexts of connectivity, interconnectivity, and interoperability with smart connected sensors, objects, devices, data, and applications. In fact, IoT has brought notable impacts on the global economy and human experience that span from industry to industry in a variety of application domains, including healthcare. With IoT, it is expected to facilitate a seamless interaction and communication of objects (devices) with humans in the environment. Therefore, it is imperative to embrace the potentials and benefits of IoT technology in healthcare delivery to ensure saving lives and to improve the quality of life using smart connected devices. In this paper, we focus on the IoT based healthcare system for cancer care services and business analytics/cloud services and also propose the adoption and implementation of IoT/WSN technology to augment the existing treatment options to deliver healthcare solution. Here, the business analytics/cloud services constitute the enablers for actionable insights, decision making, data transmission and reporting for enhancing cancer treatments. Furthermore, we propose a variety of frameworks and architectures to illustrate and support the functional IoT-based solution that is being considered or utilized in our proposed smart healthcare solution for cancer care services. Finally, it will be important to understand and discuss some security issues and operational challenges that have characterized the IoT-enabled healthcare system.

     

基于MicroPython和CC3200的智能家居数据采集与控制系统设计

为了解决多种网络通信协议共存给智能家居应用开发带来的不便,更好地实现家居的智能化,基于MicroPython和CC3200设计了一种智能家居数据采集与控制系统。该系统采用CC3200作为工作节点,通过微信公众号和OneNet平台获取系统采集的数据,并在云服务器中进行判断和相应处理,较好地解决了多种网络通信协议共存的问题,实现了智能家居数据采集与控制功能。实验测试结果表明:系统运行稳定,有较好的人机交互体验,具有较高的实际应用价值。     

An Agent-Based Smart Home System and Its Service-Scheduling Mechanism: Design and Implementation

This investigation presents an agent-based smart (ABS) home system that automates home-service operations. The ABS home system comprises three subsystems, namely user interface, home gateway, and home functionality. ABS home users can request services with handheld devices through an ABS user interface, and receive them through an agent cooperation mechanism. This investigation has designed three agents and implemented them in the agent platform: the manager agent schedules the service processes; the service agent manages service requests, and the task agent executes service operations. With home-functionality subsystems including location servers, message centers, and multimedia centers in ABS homes, services are conveniently provided, efficient, and comfortably manipulated. The Universal Plug and Play feature adopts IP network technology to control, manage, and transfer data among functionality devices in ABS homes. The proposed service-scheduling mechanism provides services that are conveniently provided, efficient, and comfortably manipulated. This study presents an implementation of the ABS home system to illustrate the feasibility of the proposed architecture. The study also presents a performance evaluation to demonstrate the effectiveness of the proposed mechanism.     

TelG Mote: A Green Wireless Sensor Node Platform for Smart Home and Ambient Assisted Living

The wireless sensor network (WSN) consists of sensor nodes that interact with each other to collectively monitor environmental or physical conditions at different locations for the intended users. One of its potential deployments is in the form of smart home and ambient assisted living (SHAAL) to measure patients or elderly physiological signals, control home appliances, and monitor home. This paper focuses on the development of a wireless sensor node platform for SHAAL application over WSN which complies with the IEEE 802.15.4 standard and operates in 2.4 GHz ISM (industrial, scientific, and medical) band. The initial stage of SHAAL application development is the design of the wireless sensor node named TelG mote. The main features of TelG mote contributing to the green communications include low power consumption, wearable, flexible, user-friendly, and small sizes. It is then embedded with a self-built operating system named WiseOS to support customized operation. The node can achieve a packet reception rate (PRR) above 80% for a distance of up to 8 m. The designed TelG mote is also comparable with the existing wireless sensor nodes available in the market.     

Real Time Scheduling in TSCH for IoT Using Neurogenetic Algorithm

Internet of Things (IoT) is a widely adoptable technology in industrial, smart home, smart grid, smart city and smart healthcare applications. The real world objects are remotely connected through internet and it provides services with the help of friendly devices. Currently IEEE 802.15.4e Time Slotted Channel Hopping (TSCH) standard is gaining a part of consideration among the IoT research community because of its effectiveness to improvise the reliability of communication which is orchestrated by the scheduling. As TSCH is an emerging Medium Access Control (MAC) protocol, it is used in the proposed work to enhance the network scheduling by throughput maximization and delay minimization. The paper focuses on proper utilization of the channel through node scheduling. NeuroGenetic Algorithm (NGA) has been proposed for TSCH scheduling and its performance is evaluated with respect to time delay and throughput. The system is implemented in real time IoT devices and results are perceived and analyzed. The proposed algorithm is compared with existing TSCH scheduling algorithms.

     

一种基于可视化界面和物联网技术的智能用能需求侧管理平台

文章提出了一种智能的基于可视化和物联网技术的用能需求侧管理平台。平台在探索物联网在用能需求侧管理中的具体应用,搭建基于物联网与可视化界面的用能智能分析及控制环境,采集智能终端及传感器传导的用能信息的基础上,通过各种实时网络分析等高级应用软件对采集数据进行分析和处理,实现了重点耗能设备与客户或电网企业间进行实时高效的信息交互,可为客户提供全面、多维的用能管理辅助决策支持,也可为变频设备、同步调相机、无功补偿装置等设备的一体化运行提供数据支持和接入策略等优化方案。     

Essentiality of managing the resource information in the coordinated fog‐to‐cloud paradigm

Fog‐to‐cloud (F2C) computing is an emerging computational platform. By combing the cloud, fog, and IoT, it provides an excellent framework for managing and coordinating the resources in any smart computing domain. Efficient management of these kinds of diverse resources is one of the critical tasks in the F2C system. Also, it must be considered that different types of services are offered by any smart system. So, before managing these resources and enabling the various types of services, it is essential to have some comprehensive informational catalogue of resources and services. Hence, after identifying the resource and service‐task taxonomy, our main aim in this paper is finding out a solution for properly organizing this information over the F2C system. For that purpose, we are proposing a modified F2C framework where all the information is distributively stored near to the edge of the network. Finally, by presenting some experimental results, we evaluate and validate the performance of our proposing framework.     

基于Android平台的智能家居系统设计

针对传统智能家居系统中存在的灵活性差、不易推广、功能单一、维护成本高等缺点,本文采用基于Android平台的智能家居系统设计方案,以Android智能终端作为客户端,以搭建Linux操作系统的ARM9微处理器作为服务器,以Zigbee技术构建内部网络,最终实现远程控制智能家居,并实时显示内部环境信息。     

基于NodeMCU智能语音交互家居系统设计

针对传统家居家电设备很难直接与市场上的语音助手结合,同时高技术产品价格很难惠民,智能家居控制系统因设计成本过高很难实现普及的现象,本文提出将树莓派和NodeMCU开发板联合开发一款性价比极高的智能语音交互家居系统。设计使用树莓派4B+在Linux系统下运行百度云平台提供的SDK加上麦克风阵列和CSI摄像头实现语音识别、语音合成和人脸识别等功能。利用Python serial库实现与Arduino串口通信,树莓派将语音识别到的指令下发至Arduino,从而实现人与硬件设备语音交互。NodeMCU通过内置ESP8266芯片使用Arduino IDE编译将传感器采集到的数据通过TCP协议与物联网云平台连接,实现数据的远程存储,家庭环境信息的远程观测和远程控制。运行结果显示,实现家居环境数据无线传输与语音交互的功能要求,设计成本低廉,功能强大且扩展方便。本系统实现了多平台交互,提高了多任务并行处理能力。     

基于IPv6的无线传感器网络关键技术研究

基于IPv6技术的无线传感器网络是一门新兴的网络技术,人们对它的研究尚处于起步阶段。在此主要论述IPv6技术在无线传感器网组网应用,对使用无线与有线相结合的通信方法,通信协议和算法的研究,使得视频监控系统信号,通信系统信号以及检测系统信号在同一个通信平台上互不干涉的平稳的传输信息。就IPv6无线传感器网络与现有网络的互联互通方式,关键技术和算法等方面进行概述。     

Internet of Things-based wireless sensor networks for monitoring access constraint security measures in liable data aggregation

A wireless sensor network (WSN) is a network of autonomous, small sensors that can detect, collect, and send data about their surrounding environment. In the Internet of Things (IoT) infrastructure, WSNs are the smart devices that provide the platform with resource input. Security breaches and insider attacks are possible due to the WSN's resource-constrained design. However, the IoT platform's intelligence may be extended to WSN nodes for managing device and data-level security. This paper proposes Monitored Access Constraint Security (MACS) to ensure the privacy of data collected via the ubiquitous processing enabled by the Internet of Things. The IoT platform performs frequent checks on the quality of the interactions between the various nodes to ensure that they are functioning properly and that the sensor aggregation instances are accountable. Node liability is considered while adjusting the aggregate level and the continuity. The method guarantees secure information from the environment and the data sources. The quality of the data gathered in the suggested technique is evaluated based on node liability and information extraction feature. Accordingly, security measures are implemented at data gathering and filtering levels and then assessed using a recurrent learning process. Since there are fewer security breaches overall, the rate of aggregation increases. Aggregation loss, delay time, false rate, throughput, and verification time are used to evaluate the performance.     

A lightweight IoT‐based security framework for inventory automation using wireless sensor network

Internet of things (IoT) has evolved as an innovation of next generation in this world of smart devices. IoT tends to provide services for data collection, data management, and data and device security required for application development. Things or devices in IoT communicate and compute to make our lives comfortable and safe. In inventory automation, real‐time check on items, their information management, and status management, monitoring can be carried out using IoT. The huge amount of data that flows among the devices in the network demands for a security framework that ensures authentication, authorization, integrity, and confidentiality of data. The existing security solutions like SIMON or SPECK offer lightweight security solutions but are vulnerable to differential attack because of their simplicity. Moreover, existing solutions do not offer inbuilt authentication. Therefore, this research work contributes a secure and lightweight IoT‐based framework using wireless sensor network (WSN) as a technology. The existing security solutions SPECK and SIMON are compared with the proposed security approach using COOJA simulator. The results show that proposed approach outstands others by 2% reduction in number of CPU cycles, 10% less execution time, 4% less memory requirements of security approach, and with minimum 10% more security impact.