scholarly journals Research and Design of Adaptive Networking Method Based on LoRa

2021 ◽  
Vol 2078 (1) ◽  
pp. 012010
Author(s):  
JianMin Zhang ◽  
YaWen Dai

Abstract An adaptive networking method based on LoRa(Long Range) technology is proposed. The data transmission of wireless sensor networks widely used in the Internet of things is studied. A star network composed of Lora wireless transmission technology is designed to build an adaptive data transmission network. The design process of network topology, hardware and adaptive networking method of adaptive networking are introduced. Aiming at solving the problems of limited node capacity, adjacent frequency interference, and unreasonable channel resource allocation in the LoRa network, an adaptive frequency hopping mechanism is used for networking. The system uses I. MX6ULL as the main control and integrates 8 LoRa modules at the same time, which greatly improves the node capacity of the gateway. The server can realize real-time viewing and monitoring of node equipment, and real-time evaluation of channel communication quality.

2014 ◽  
Vol 13 (9) ◽  
pp. 1662-1667
Author(s):  
Wei Wei ◽  
Xiang Li ◽  
Bin Zhou ◽  
Hongfang Zhou ◽  
Peiyi Shen ◽  
...  

2013 ◽  
Vol 341-342 ◽  
pp. 773-776
Author(s):  
Wen Dong ◽  
Chong Xin Liu

The paper propose a design of the local data transmission between human body physiological parameters acquisition terminal and local intelligent monitoring terminal based on the wireless transmission technique of Zigbee and Bluetooth. In order to realize the remote transmission between Local medical monitoring terminal and remote intelligent monitoring terminal, the paper give network solutions for distal doctors to provide remote treatment. The program of monitoring terminal introduces the data processing mechanism Handler and class AsyncTask to ensure the reliability and accuracy of the data, and this can also reduce the complexity of algorithm.


Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4205
Author(s):  
Jiuyun Xu ◽  
Shuang Liu ◽  
Xiaoxuan Lu ◽  
Li Li ◽  
Hongliang Liang ◽  
...  

Data fusion in the Internet of Things (IoT) environment demands collecting and processing a wide variety of data with mixed time characteristics, both real-time and non-real-time data. Most of the previous research on data fusion was about the data processing aspect; however, successful data transmission is a prerequisite for high-performance data fusion in IoT. On the other hand, research on data transmissions in IoT mainly focuses on networking without sufficiently considering the special requirements of the upper-layer applications, such as the data fusion process, that are consuming the transmitted data. In this paper, we tackle the problem of data transmission for data fusion in an IoT environment by proposing a distributed scheduling mechanism VD-CSMA in wireless sensor networks, which considers the values for data fusion, as well as the delay constraints of packets when determining their priority levels for transmission. Simulation results have shown that VD-CSMA may enhance both throughput and delay performance of data transmission as compared to the typical scheduling schemes used for data fusion in IoT.


2021 ◽  
Vol 2094 (5) ◽  
pp. 052059
Author(s):  
A L Zolkin ◽  
V D Munister ◽  
E A Lavrov ◽  
K G Aygumov ◽  
V Saradzheva

Abstract Some aspects of the functioning of modern microcontrollers of the Internet of Things in conditions that are close to real-time systems are reviewed in the article. Attention is paid to the aspects of the theory of physical data transmission, the significance of the delay metrics in the data transmission path is substantiated and emphasized. These delays (in view of the generalization of measurement results) determine the control accuracy and controllability of the data processing system as a whole, and also affect the reliability of the results. The process of formalization of the architectural template of a data collecting and accounting system for a control device (which is widespread in intelligent transport systems and the Internet of things) is described. The practical application of the approach in synchronous control through the implementation of a web interface and a control language in a microprocessor system (which can be possible at low traffic transmission rates) is substantiated. In conclusion, a generalization of the scope of application of the developed specialized computer system in transport field is given.


Author(s):  
Sergey I. Saitov ◽  
◽  
Viktor Yu. Budkov ◽  
Dmitrii K. Levonevsky ◽  
Alexandr V. Denisov ◽  
...  

Approaches to modeling a data transmission network in a remotely controlled system for distributed critical state facilities are considered in the article. To solve the problem of increasing the efficiency of channel resource costs, a new analytical model of the information distribution system from the standpoint of teletraffic theory is proposed. The model describes the service of extraordinary calls with absolute priorities, failures and gradient reservation of the channel resource for messages of modalities with the characteristics of operators in the data transmission network of critical facilities.


2020 ◽  
Vol 10 (7) ◽  
pp. 2334
Author(s):  
Jieun Kang ◽  
Svetlana Kim ◽  
Jaeho Kim ◽  
NakMyoung Sung ◽  
YongIk Yoon

With the development of the Internet of Things (IoT), the amount of data is growing and becoming more diverse. There are several problems when transferring data to the cloud, such as limitations on network bandwidth and latency. That has generated considerable interest in the study of edge computing, which processes and analyzes data near the network terminals where data is causing. The edge computing can extract insight data from a large number of data and provide fast essential services through simple analysis. The edge computing has a real-time advantage, but also has disadvantages, such as limited edge node capacity. The edge node for edge computing causes overload and delays in completing the task. In this paper, we proposes an efficient offloading model through collaboration between edge nodes for the prevention of overload and response to potential danger quickly in emergencies. In the proposed offloading model, the functions of edge computing are divided into data-centric and task-centric offloading. The offloading model can reduce the edge node overload based on a centralized, inefficient distribution and trade-off occurring in the edge node. That is the leading cause of edge node overload. So, this paper shows a collaborative offloading model in edge computing that guarantees real-time and prevention overload prevention based on data-centric offloading and task-centric offloading. Also, we present an intelligent offloading model based on several scenarios of forest fire ignition.


Sign in / Sign up

Export Citation Format

Share Document