Identification System Model for Energy-Efficient Long Range Mesh Network Based on Digital Object Architecture

2020 ◽  
pp. 497-509
Author(s):  
Dmitriy Sazonov ◽  
Ruslan Kirichek
Keyword(s):  
Long Range ◽  
Energy Efficient ◽  
Mesh Network ◽  
System Model ◽  
Identification System ◽  
Digital Object

scholarly journals DOA- A New Approach to Identify IoT Devices

2021 ◽  
pp. 66-76
Author(s):  
MAHMOOD AL-BAHRI ◽  
WASIN ALKISHRI
Keyword(s):  
Object Identification ◽  
Queuing System ◽  
System Model ◽  
The Internet ◽  
Identification System ◽  
Digital Object ◽  
New Approach ◽  
Resolution System ◽  
Iot Devices ◽  
The Internet Of Things

The analysis of the possibility of building a system for identifying devices of the Internet of Things based on the Digital Object Architecture has been carried out. A model of the system of resolution handle system of Digital Object Identification as a queuing system is proposed. The analysis of the existing handle system. Is proposed an identification system model based on digital object architecture. Based on the developed model of the queuing system, an optimization experiment was performed, and the configuration of the resolution system was obtained, allowing to reduce the time for resolving the device identifier. The software of the existing handle system resolution was analyzed and ways of improving the algorithms with the aim of reducing the time for identifier resolution were proposed.

MODEL OF ENERGY-EFFICIENT LONG-RANGE MESH NETWORK

2020 ◽  
Author(s):  
В.Д. Фам ◽  
Д.А. Галлямов ◽  
О.И. Ворожейкина ◽  
Р.В. Киричек
Keyword(s):  
Long Range ◽  
Energy Efficient ◽  
Communication Channels ◽  
Computer Experiments ◽  
Mesh Network ◽  
Delivery Ratio ◽  
Sustainable Cities ◽  
Delivery Time ◽  
Packet Delivery ◽  
Simulation Results

Представлена имитационная модель энергоэффективной ячеистой сети дальнего радиуса действия на базе техно- логии передачи данных LoRa. Модель учитывает различные параметры узлов и каналов связи технологии LoRa. Серия компьютерных экспериментов позволила проанализировать время доставки и коэффициент доставленных пакетов. По результатам моделирования сделаны выводы о возможности использования ячеистой сети для приложений умных устойчивых городов . The article presents a simulation model of energyefficient long-range mesh network based on LoRa technology. The model takes into account various parameters of nodes and communication channels of LoRa technology. A series of computer experiments allowed analyzing the delivery time and packet delivery ratio. Based on the simulation results, conclusions are drawn about the ability to use the mesh network for the application of Smart Sustainable Cities.

IMPLEMENTATION OF AN IDENTIFICATION SYSTEM FOR LORA TERMINAL DEVICES IN MESH NETWORKS BASED ON THE DIGITAL OBJECTS ARCHITECTURE

2021 ◽  
Author(s):  
Д.Д. САЗОНОВ ◽  
Р.В. КИРИЧЕК
Keyword(s):  
Energy Efficient ◽  
Mesh Networks ◽  
Identification System ◽  
Practical Application ◽  
Digital Object ◽  
Digital Objects ◽  
Test Scenarios ◽  
Metadata Format

Рассмотрено практическое применение архитектуры цифровых объектов (Digital Object Architecture - DOAtв качестве системы идентификации для энергоэффективных ячеистых сетей на базе технологии LoRa. Представлены тестовые сценарии взаимодействия оконечных устройств с сервером обработки и идентификации при помощи системы Handle System, развернутой в формате локального реестра LHS (Local Handle Service). Описанные подходы и архитектура взаимодействия могут быть перенесены на любые системы интернета вещей, так как технология DOA позволяет описывать любые реальные или виртуальные сущности вещей в формате метаданных с присвоением уникальных неизменяемых идентификаторов. The article describes the practical application of Digital Objects Architecture (DOA) as an identification system for energy-efficient mesh networks based on LoRa technology. Test scenarios for the interaction of edge devices with the processing and identification server using the Handle System deployed in the form of the local registry LHS (Local Handle Service) are presented. The described approaches for implementation of identification system based on Handle System and DOA can be used in different IoT systems since DOA technology allows you to describe any real or virtual entities of things in metadata format with the assignment of unique immutable identifiers.

Data Reception Analysis of the AIS on board the TianTuo-3 Satellite

2017 ◽  
Vol 70 (4) ◽  
pp. 761-774 ◽  
Author(s):  
Shiyou Li ◽  
Xiaoqian Chen ◽  
Lihu Chen ◽  
Yong Zhao ◽  
Tao Sheng ◽  
...  
Keyword(s):  
Detailed Analysis ◽  
Real Time ◽  
Long Range ◽  
Automatic Identification ◽  
Identification System ◽  
Detection Ability ◽  
Class A ◽  
Frequency Detection ◽  
Real Time Tracking ◽  
New Generation

The Automatic Identification System (AIS) receiver on board the main satellite of the TianTuo-3 constellation, LvLiang-1, is a new generation of AIS receiver. Having partly solved the signal conflict problems and with larger coverage over the ground, the AIS receiver on board TianTuo-3 greatly improves the signal detection ability. The data received by the AIS receiver during the TianTuo-3 debugging stage is employed for detailed analysis in this paper. Results include: TianTuo-3 implements four-frequency detection at the same time, and a time-flag is inserted into the received AIS data, a small portion of Class A vessels (at least 1480) have been equipped with AIS sending the long range AIS broadcast message with two new frequency channels and the hourly averaged count of the message received by TianTuo-3’s AIS is between 1500 ~ 2500. This AIS receiver is capable of real-time tracking a single vessel. In conclusion, the TianTuo-3 space-based AIS receiver is capable of continuously receiving AIS messages sent by global maritime vessels.

Sign in / Sign up

Export Citation Format

Share Document