Design of Visibility Forecasting System on Freeways Based on the Internet of Things

This paper aims at designing a visibility forecasting system on freeways based on the Internet of Things. Physical processes of fog formation on freeways are explored by the related real data and circulation background fields, and then some characteristics are presented through the forecasting model. The paper introduces the Zigbee protocol into the hardware design of the system, in which the epigenous machines can analyze the received data dynamically.

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A bio-inspired adaptive model for search and selection in the Internet of Things environment

PeerJ Computer Science ◽

10.7717/peerj-cs.762 ◽

2021 ◽

Vol 7 ◽

pp. e762

Author(s):

Soukaina Bouarourou ◽

Abdelhak Boulaalam ◽

El Habib Nfaoui

Keyword(s):

Internet Of Things ◽

Real Data ◽

Distributed Model ◽

The Internet ◽

Data Sets ◽

Semantic Categories ◽

Internet Of Things Environment ◽

Search And Selection ◽

Sensor Clustering ◽

The Internet Of Things

The Internet of Things (IoT) is a paradigm that can connect an enormous number of intelligent objects, share large amounts of data, and produce new services. However, it is a challenge to select the proper sensors for a given request due to the number of devices in use, the available resources, the restrictions on resource utilization, the nature of IoT networks, and the number of similar services. Previous studies have suggested how to best address this challenge, but suffer from low accuracy and high execution times. We propose a new distributed model to efficiently deal with heterogeneous sensors and select accurate ones in a dynamic IoT environment. The model’s server uses and manages multiple gateways to respond to the request requirements. First, sensors were grouped into three semantic categories and several semantic sensor network types in order to define the space of interest. Second, each type’s sensors were clustered using the Whale-based Sensor Clustering (WhaleCLUST) algorithm according to the context properties. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was improved to search and select the most adequate sensor matching users’ requirements. Experimental results from real data sets demonstrate that our proposal outperforms state-of-the-art approaches in terms of accuracy (96%), execution time, quality of clustering, and scalability of clustering.

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Complexity Neural Networks for Estimating Flood Process in Internet-of-Things Empowered Smart City

International Journal of Engineering and Management Research ◽

10.31033/ijemr.10.6.16 ◽

2020 ◽

Vol 10 (6) ◽

pp. 118-129

Author(s):

Mustafa Ahmed Othman Abo Mhara

Keyword(s):

Neural Network ◽

Neural Networks ◽

Deep Learning ◽

Internet Of Things ◽

Water Conservation ◽

Forecasting Model ◽

The Internet ◽

Hydrological Data ◽

Complex Features ◽

The Internet Of Things

With the advancement of the Internet of Things (IoT)-based water conservation computerization, hydrological data is increasingly enriched. Considering the ability of deep learning on complex features extraction, we proposed a flood process forecasting model based on Convolution Neural Network(CNN) with two-dimension(2D) convolutional operation. At first, we imported the spatial-temporal rainfall features of the Xixian basin. Subsequently, extensive experiments were carried out to determine the optimal hyper parameters of the proposed CNN flood forecasting model.

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Design and Implementation of ZigBee Protocol Analyzer

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.543-547.3476 ◽

2014 ◽

Vol 543-547 ◽

pp. 3476-3481

Author(s):

Hong Tang ◽

Long Jia Yu

Keyword(s):

Internet Of Things ◽

The Internet ◽

Test Results ◽

Data Packets ◽

Specific Field ◽

Design And Implementation ◽

Zigbee Protocol ◽

Equipment Development ◽

Protocol Analyzer ◽

The Internet Of Things

ZigBee protocol is widely used in the internet of things. In process of related equipment development, the ZigBee protocol debugging is an important part, and ZigBee protocol analyzer is a vital tool for debugging. For the existing protocol analyzer cannot deal with the wrong frame well and cannot locate a specific field quickly, this paper designs a ZigBee protocol analyzer and implement it by using the technology of quick rollback and partial repainting, the main features of this system are as follows: lower computer supports a variety of ways to connect to superior computer; it can collect data packets for 16 channels of 2.4GHz band; it can significantly identify the wrong frame; also, it can present a specific field which debugger are interested. Test results show that this system is better able to deal with the wrong frame and locate the specific field quickly.

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Compressed RSS Measurement for Communication and Sensing in the Internet of Things

Wireless Communications and Mobile Computing ◽

10.1155/2017/6345316 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Yanchao Zhao ◽

Wenzhong Li ◽

Jie Wu ◽

Sanglu Lu ◽

Bing Chen

Keyword(s):

Internet Of Things ◽

Compressive Sensing ◽

State Of The Art ◽

Interference Management ◽

Real Data ◽

Network Size ◽

The Internet ◽

Art Works ◽

Communication Resource ◽

The Internet Of Things

The receiving signal strength (RSS) is crucial for the Internet of Things (IoT), as it is the key foundation for communication resource allocation, localization, interference management, sensing, and so on. Aside from its significance, the measurement process could be tedious, time consuming, inaccurate, and involving human operations. The state-of-the-art works usually applied the fashion of “measure a few, predict many,” which use measurement calibrated models to generate the RSS for the whole networks. However, this kind of methods still cannot provide accurate results in a short duration with low measurement cost. In addition, they also require careful scheduling of the measurement which is vulnerable to measurement conflict. In this paper, we propose a compressive sensing- (CS-) based RSS measurement solution, which is conflict-tolerant, time-efficient, and accuracy-guaranteed without any model-calibrate operation. The CS-based solution takes advantage of compressive sensing theory to enable simultaneous measurement in the same channel, which reduces the time cost to the level of O(log⁡N) (where N is the network size) and works well for sparse networks. Extensive experiments based on real data trace are conducted to show the efficiency of the proposed solutions.

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RFID Protocol Design, Optimization, and Security for the Internet of Things

10.1049/pbce112e ◽

2017 ◽

Author(s):

Alex X. Liu ◽

Muhammad Shahzad ◽

Xiulong Liu ◽

Keqiu Li

Keyword(s):

Internet Of Things ◽

Design Optimization ◽

Protocol Design ◽

The Internet ◽

The Internet Of Things ◽

Rfid Protocol

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Multimedia system and database simulation based on internet of things and cloud service platform

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189253 ◽

2020 ◽

pp. 1-12

Author(s):

Zhang Caiqian ◽

Zhang Xincheng

Keyword(s):

Internet Of Things ◽

Cloud Service ◽

Multimedia System ◽

The Internet ◽

Multimedia Database ◽

Cloud Platform ◽

Service Platform ◽

Device Management ◽

Cloud Service Platform ◽

The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

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Review of the Current State and Future Development in Standardising Artificial Lighting

Light & Engineering ◽

10.33383/2019-011 ◽

2019 ◽

pp. 4-44 ◽

Cited By ~ 1

Author(s):

Peter Thorns

Keyword(s):

Internet Of Things ◽

Future Development ◽

Best Practice ◽

The Internet ◽

Artificial Lighting ◽

Current State ◽

Internal Structures ◽

European Regulations ◽

The Internet Of Things

This paper discusses the organisations involved in the development of application standards, European regulations and best practice guides, their scope of work and internal structures. It considers their respective visions for the requirements for future standardisation work and considers in more detail those areas where these overlap, namely human centric or integrative lighting, connectivity and the Internet of Things, inclusivity and sustainability.

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