Success Rate Of Data Transmission Research Articles

The communication and measurement architecture of BDS-3 global operations and services

This study introduces the third-generation BeiDou Navigation Satellite System (BDS-3) system’s creative global operation and service architecture based on regional stations and Ka-band inter-satellite links (ISLs). The architecture’s contributions to BDS-3 include not only combined orbit determination and time synchronization but also autonomous orbit determination and time synchronization, global operations and services. The BDS-3 on-orbit operation results are being presented in the paper to verify the designed capabilities. Compared with BDS-2, the orbit determination accuracy is improving from 0.6 m to 0.15 m, and the time synchronization accuracy is improving from 6.67 ns to 1.16 ns. Under autonomous orbit determination and time synchronization, the 30-day orbit maintenance accuracy reaches 16 m, and the time synchronization accuracy reaches 3.74 ns. The success rate of data transmission reaches 99%, and the delay is better than 12.9 s. In the future, laser ISLs will be used to enhance the system structure and further improve global operation and service capabilities.

Analysis of multimedia network data security based on routing algorithm

In today’s society, the application of multimedia data is increasing, and the accompanying data security is also an important issue. This paper will analyze the data security of multimedia network based on routing algorithm. The advantages of wireless local area networks (WLAN) and ad hoc networks are combined in wireless mesh networks (WMNs), which have steadily grown to be a reliable method of wireless broadband access. The application of multi RF and multi-channel technology improves the performance of WMN. However, the limitation that includes the number of wireless network interface cards and channels in the network, results in the great challenges ofrouting and channel allocation in multi RF and multi-channel WMN. Based on AODV algorithm, this paper proposes a new cross layer routing algorithm which is JRCA-AODV algorithm. The simulation results demonstrate that the JRCA-AODValgorithm can successfully increase multiRF multi-channel WMN throughput while lowering packet loss rate and network delay. Take the packet rate of 8 Mbps as an example, the network throughput based on JRCA-AODV algorithm is 1.14 times that of MRMC-AODV algorithm, the packet loss rate based on JRCA-AODV algorithm is 14.06% lower than that of MRMC-AODV algorithm, and the network time delay based on JRCA-AODV algorithm is 14.27% lower than that of MRMC-AODV algorithm. At the same time, JRCA-AODV algorithm can effectively reduce the probability of data loss caused by the competitive and shared access mechanism of the channel, improve the success rate of data transmission, thus reduce the probability of data eavesdropping and tampering in the process of repeated transmission, and improve the security of multimedia network data.This will provide a new direction for promoting the idea of multimedia data security.

Laser communications system with drones as relay medium for healthcare applications.

This article introduces a prototype laser communication system integrated with uncrewed aerial vehicles (UAVs), aimed at enhancing data connectivity in remote healthcare applications. Traditional radio frequency systems are limited by their range and reliability, particularly in challenging environments. By leveraging UAVs as relay points, the proposed system seeks to address these limitations, offering a novel solution for real-time, high-speed data transmission. The system has been empirically tested, showcasing its ability to maintain data transmission integrity under various conditions. Results indicate a substantial improvement in connectivity, with high data transmission success rate (DTSR) scores, even amidst environmental disturbances. This study underscores the system's potential for critical applications such as emergency response, public health monitoring, and extending services to remote or underserved areas.

Development and Verification of an IoT-enabled Air Quality Monitoring System Based on Petri Nets

An internet of things (IoT) system for monitoring environmental parameters on campus has been successfully developed in this study. Various sensors are adopted in front of the IoT system for detecting air pollutants. The architecture of LongRange in Class C uses low-power and long-distance transmission technologies, which has been set up on the large campus so that the terminal equipment can reach a balance between downlink latency and battery life, making it the best communication protocol. In addition, this monitoring system uses the Petri net software tool to build a correct IoT platform based on the fundamental design process and to demonstrate the feasibility of the IoT system through simulation-based verification. Finally, the experimental results indicate that the IoT system for monitoring the environmental parameters on campus achieves the goal of an acceptable data transmission success rate of more than 95%. Thus, it can facilitate the air quality trends for policy making as well as the hazardous prediction and prevention.

Low power optimization method for contactless micro intelligent voltage sensor communication network

Aiming at the problems of high power consumption and low success rate in contactless micro voltage sensor communication network, a low power consumption optimization method of contactless micro voltage sensor communication network is proposed. By calculating the average power consumption of micro voltage sensor nodes in the communication network area, the energy balance degree of micro voltage sensor nodes is obtained. When the micro voltage sensor nodes meet the sleep probability of communication network area coverage factor, the power consumption of voltage sensor communication network is calculated. By defining the information entropy of communication network data set, the conditional entropy of data feature classification of communication network is obtained, and the high-power data is eliminated by using the validity kernel function of data features. Combined with the low-power optimization algorithm of micro voltage sensor communication network, the low-power optimization of micro voltage sensor communication network is realized. The experimental results show that the optimization method in this paper can not only reduce the power consumption of data transmission in contactless micro voltage sensor communication network, but also improve the success rate of data transmission, and has better optimization effect.

Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks

Autonomous driving and intelligent transportation demand ultra-low latency and high reliability communication in future vehicular networks. Proactive wireless communication can facilitate minimal latency by open-loop communication, which discards traditional feedback control mechanisms. However, appropriate radio resource allocation in such proactive mobile networks has not been fully studied due to lacking channel state information (CSI) and the alleviation of multiple access interference (MAI) in multiple virtual cells. This paper aims to ensure the reliability of downlink communication by a novel radio resource allocation scheme in proactive vehicular networks with ultra-low latency. We regard data transmission success rate as the reliability indicator and propose a joint radio resource allocation model based on the “generalized closed-loop”, where anchor node (AN) uses the radio resource utilization information (RRUI) from the vehicle in the immediate past uplink as a guide to assist resource allocation. Subsequently, we study the radio resource allocation model solution on the vehicle side and the network side respectively. On the vehicle side, vehicles use the local or global data transmission experience to select the radio resource with the best quality as the RRUI. On the network side, according to the latest RRUI of vehicle and resource occupancy information, deep reinforcement learning is proposed to make appropriate radio resource allocation decisions. Simulations demonstrate the effectiveness of the intelligent joint radio resource allocation scheme under the cooperation between vehicles and AN. When the resource load rate reaches 40%, the joint radio resource allocation scheme can achieve a data transmission success rate of more than 98%.

PORTABLE AVIATION NAVIGATION CALIBRATION SYSTEM BASED ON RASPBERRY PI, HACK RF ONE, AND SOFTWARE DEFINED RADIO COMMUNICATION SYSTEM

Calibration procedures for the aviation navigation system which involve full size aircraft and its crew may be considered risky and high cost . This paper introduces the state of the art communication system to provide lower cost and flexible solutions based on Raspberry Pi, and SDR device Hack RF One, equipped with proper and aviation-related sensors, which later may be treated as unmanned aerial vehicle payload to replace flying aircraft aviation instruments. Design principles which mainly consist of both flexible communication and operating feasibility are explained in early of this paper. As a preliminary method, simple FSK modulation coupled with data integrity mechanisms are implemented to realize reliable but fast sensor data transmission. Data communication rate under a single board computer environment may achieve 40 kbps. Proposed system achieved a data transmission success rate as high as 88% in reasonable condition. In addition, the discussion of further system development is presented.

Quality of Service Comparison of LOS and NLOS Propagation in a LoRaWAN-Based Remote Monitoring System

Indonesia is an agricultural country with a wealth of natural resources. The agricultural sector is one of the natural resources with great potential. The processing and monitoring of very large agricultural land is currently a problem that must be resolved as soon as possible. The use of a remote monitoring system is the solution to this problem. The LoRa protocol is one of the communication protocols that can be used on large farms. This communication system is part of the low-power wide-area network communication system. The LoRaWAN communication system was implemented on agricultural soil moisture monitoring devices in this study. Based on the findings, it is possible to conclude that the propagation used at the time of transmission influences the success rate of data transmission via LoRaWAN communication. Line of Sight (LOS) propagation has a higher success rate than Non Line of Sight (NLOS) propagation. The LOS value is 17% greater than the NLOS at a distance of 100 meters. The LOS value is 24% greater than the NLOS at a distance of 150 meters. The LOS value is 3% greater than the NLOS value at a distance of 200 meters. LOS propagation measurement throughput is higher than NLOS propagation measurement throughput Keywords: LoRa, LoRaWAN, Wireless, Internet Of Things

Simulation of optimal selection algorithm for wireless sensor cluster head node Bayesian statistical network

This paper proposes a routing algorithm of cluster tree network and further combines the hierarchical structure of clustering with that of neural network, and designs a data fusion algorithm based on clustering routing protocol. Then, aiming at the difficulty in selecting the weights of neural network, a weight optimization neural network based on particle swarm optimization algorithm is proposed and applied to multi-sensor fusion. The simulation results show that the number of cluster heads of ACEC protocol is more concentrated on the expected value and has good stability. The algorithm selects cluster head nodes by non-uniform clustering and dynamic threshold, which ensures the balanced distribution of cluster head nodes in the network, reduces the network energy consumption and prolongs the service life of the network. The success rate of ancec protocol is similar to debug protocol, but with the increase of transmission time, LEACH protocol and debug protocol do not consider the link quality factor when forwarding data, so the communication link quality is uneven when selecting the next hop relay point in each round, so the data transmission success rate has a relatively obvious downward trend. The fusion result is clearly better than the poor two sensors, but inferior to the best sensor. This is due to the low SNR of sensors SNL and SN2, so their recognition effect is relatively poor, which also conforms to the rule of multi-sensor fusion. The results show that the method based on qdpso-bp network fusion is feasible.

Application of Artificial Intelligence Technology in Electronic Information Engineering

In the development process of artificial intelligence, electronic information engineering technology is indispensable. Electronic information engineering technology support is extremely important for the development of artificial application. This paper describes the related concepts of artificial intelligence and electronic information engineering, and researches and designs the application of artificial intelligence technology in the electronic information engineering platform. Through the analysis, we can see that the system is not There are fatal loopholes, the success rate of data transmission basically meets the demand of more than 80%, and the response time is within 3S, which can also meet the set requirements.

An Application of CHNN for FANETs Routing Optimization

Routing algorithm has a decisive influence on routing quality, and routing quality has a direct impact on network performance. For FANETs, the highly dynamically changing topology poses a challenge to the design of routing algorithms. The paper studies the characteristics of FANETs, and uses a CHNN to search for FANETs routing to form CHNNR. Using NS3 as a simulation tool, a highly dynamic simulation scheme in the background of the network topology of the air flight platform was designed, making the simulation scene closer to the dynamic performance of the FANETs highly dynamic mobile node. By comparing parameters such as network delay, normalized network throughput, routing load and data transmission success rate, the performance of CHNNR and passive routing algorithms is analyzed and compared. The simulation results show that the comprehensive performance of CHNNR is better than other passive routing algorithms, and it is more suitable for FANETs networks where nodes move at a high speed and the network topology changes frequently, and lay the foundation for the next research.

AI Empowered Communication Systems for Intelligent Transportation Systems

Intelligent control of traffic has significant influence on the scheduling efficiency of urban traffic flow. Therefore, in order to improve the efficiency of vehicles at intersections, first, the Back Propagation (BP) neural network is used to propose a vehicle passing model at the intersection, and based on the intelligent traffic control system model, the Earliest Deadline First (EDF) dynamic scheduling algorithm is used to improve the Controller Area Network (CAN) communication network. Finally, the simulation test is used to evaluate the effectiveness of the proposed model and the improved CAN bus communication network. The results show that the neural network model can be used to predict the passage time of vehicles queuing at intersections with an error of less than 10%. The improved CAN bus communication can improve the data transmission rate, and the success rate of data transmission under different load rates is above 95%. In conclusion, the application of artificial intelligence technology in intelligent traffic system can improve the efficiency of vehicle scheduling and the efficiency of communication system. This research is of great significance to improve the communication performance of the transportation system and scheduling efficiency.

Design of BeiDou-based data acquisition system for oil and gas wells in remote areas

The real-time operation status monitoring of natural gas wells in the wilderness area has problem such as construction suffering, high maintenance cost, and high data transmission cost. In view of the above problems, this paper studies the design of a multi-node data transmission system using Beidou satellite short message as the data transmission means. Firstly, analysed the advantages and disadvantages of several common data transmission methods and introduced the Beidou short message; Secondly, introduced the main working parameters of the oil and gas well; Thirdly, The data acquisition and transmission system was designed in detail and the prototype system was developed. The experimental results show that the data transmission success rate of the system can reach more than 98%. This system solution can provide a useful reference for engineering with similar requirements.

Study on the routing algorithm of airport navigation lighting system based on mobile wireless ad hoc network

Currently, the performance of the conventional airport navigation lighting system can’t meet the functional requirements of an airport under combat readiness or emergency state. A new type of airport navigation lighting system in mobile wireless ad hoc network is proposed in this paper. The system consists of a monitoring center, a coordinator and a number of terminal nodes. It can be flexibly transferred, concealed in time, remotely controlled, quickly started and networked on demand. According to the functions and the distribution characteristics of the navigation luminaries in the airfields, the terminal nodes are grouped according to regions. The cluster heads are selected in each group according to the energy of nodes and the distribution distance between nodes. By comparing the advantages and the disadvantages between the Cluster-Tree protocol and the AODVjr protocol, an optimized routing algorithm is proposed. In order to reduce the number of hops of RREQ broadcast packets and prevent the invalid RREQ flooding, this algorithm adopts the neighbor table algorithm of ZigBee protocol and regional grouping method. The results of the simulations and the test of small-scale hardware show that this optimization algorithm can effectively reduce the number of routing hops, shorten the transmission delay, reduce the number of dead nodes and improve the success rate of data transmission.

Data Fast Transmission Method in Wireless Vehicle Ad-hoc Network

In vehicular ad hoc networks, the current method does not consider the delay of data transmission, resulting in slower vehicle data transmission speed. A vehicle data transmission method based on backbone network is proposed in this paper. Firstly, the characteristics of vehicle ad hoc network are analyzed. Based on the statistics of the road, the vehicle cluster is composed of the vehicles parking on the roadside and no roadside according to the different directions of the vehicle driving. The backbone network is constructed on the basis of the cluster of vehicles, and the data transmission between the vehicles is implemented by the data transmission method of overlay network. This method can overcome the disadvantages of traditional data transmission methods, improve the efficiency of on-board data transmission, and complete the research on fast data transmission method in wireless vehicle ad hoc network. The experimental results show that the proposed method can achieve higher data transmission success rate with lower data transmission overhead and smaller transmission delay.

Data Acquisition and Transmission Scheme for Large Projects Based on LoRa Internet of Things Using Improved Linear Integer Programming Model

Aiming at the problem that some security factors in large scale construction projects are difficult to be discovered in time and easily cause accidents, a low-power long-distance data acquisition and transmission scheme using LoRa wireless sensor network is proposed. Firstly, the improved linear integer programming (IILP) model is used to deploy sensor nodes, which is used to collect security risk data. Then, an ARM processor with a high-performance Cortex-M3 architecture is used by the LoRa node to interconnect the LoRa module via the SPI bus for data communication. Finally, the LoRa node sends the data collected by the sensor to the LoRa gateway through the wireless signal, and the data is stored in the cloud database through the TCP/IP protocol. Experimental tests are carried out in actual subway construction projects. The temperature and humidity sensors, deep horizontal displacement sensors, supporting shaft force sensors and groundwater level sensors are installed on the nodes to monitor real-time safety risk factors in the construction process. It is found that under the premise of ensuring more than 90% of the data transmission success rate, the proposed communication distance can be as far as 700 m. Compared with several other schemes, the proposed scheme can show better performance in terms of throughput and network delay. The simulation results of sensor deployment show that the improved ILP model can improve the performance of sensor deployment and save hardware cost to a certain extent. In addition, the proposed scheme combines the advantages of LoRa technology with the characteristics of low maintenance cost and long service life, and has a good reference significance for the application of Internet of Things technology in large-scale construction projects.

Type-2 fuzzy logic based energy-efficient transceiver resource schedule in multi-radio WSNs

Inspired by the type-2 fuzzy logic (T2FL), the energy-efficient radio resource schedule mechanism is proposed to deal with the multi-radio resources management problem in MRWSNs. Firstly, three important models, including channel quality estimation (CQE) model, radio energy dissipation model and residual energy model, are established and analysed. Then using the three important factors as the input variables, the selection probability of each transceiver as output variable, the T2FL based energy-efficient radio resource schedule scheme is designed. Moreover, both experimental and simulation results indicate that the proposed schedule mechanism can effectively improve the network performance, such as throughput, energy efficiency, the success rate of data transmission, etc.

A Type of Energy-Balanced Tree Based Data Collection Strategy for Sensor Network With Mobile Sink

In order to improve the sensing efficiency of the sensor network, a type of energy-balanced tree-based data collection strategy with mobile Sink (ETDC) is proposed. Based on the minimum cost data gathering tree, several sub-trees with similar scales and small differences in energy consumption are built for data gathering. Moreover, the roots of these sub-trees are regarded as the traversal points, and the moving trajectory of Sink is obtained with the help of these points. In addition, to further reduce energy consumption on communication and the end-to-end delay, roles of some traversal nodes and relay nodes are exchanged. The experimental results show that, compared with the typical mobile Sink based data collection methods such as VGDD and VGDR, ETDC performs well in reducing path length, enhancing the success rate of data transmission, and prolonging the network lifetime.

Type-2 fuzzy logic based energy-efficient transceiver resource schedule in multi-radio WSNs

Inspired by the type-2 fuzzy logic (T2FL), the energy-efficient radio resource schedule mechanism is proposed to deal with the multi-radio resources management problem in MRWSNs. Firstly, three important models, including channel quality estimation (CQE) model, radio energy dissipation model and residual energy model, are established and analysed. Then using the three important factors as the input variables, the selection probability of each transceiver as output variable, the T2FL based energy-efficient radio resource schedule scheme is designed. Moreover, both experimental and simulation results indicate that the proposed schedule mechanism can effectively improve the network performance, such as throughput, energy efficiency, the success rate of data transmission, etc.

Application of remote monitoring systems for cardiac implantable electronic devices in elderly patients

Objective To investigate the application of remote monitoring systems for cardiac implantable electronic devices (CIED) and its success rate of data transmission in elderly patients. Methods A total of 97 elderly patients who had previously undergone procedures for pacemaker implantation, implantable cardioverter defibrillators (ICD) or cardiac resynchronization therapy (CRT) with remote monitoring capabilities between January 2013 and October 2016 at our hospital were enrolled.We evaluated the effect of the remote monitoring systems for data transmission, compared the outpatient follow-up rates between the groups one year after implantation, and conducted a telephone survey of patients. Results A total of 97 elderly patients, including 70 with pacemakers, 20 with ICD and 7 with CRT, were enrolled in this study.Participants had a mean age of (78.2±6.4) years and 64 were male (66.0%). The Home Monitoring system was used for 85 cases and the Merlin.net remote monitoring system was used for 12 cases.Overall, 95 patients (97.9%) completed the remote monitoring procedure, 68 patients (70.1%) completed the outpatient follow-up, and 90 patients (92.8%) completed the telephone survey during a one-year follow-up period.The satisfaction rate for the remote monitoring systems was 94.4% (85 patients), and 80 patients (90.0%) expressed a willingness to continue to use the remote monitoring system if a replacement was needed. Conclusions For elderly patients with CIED, the remote monitoring systems can improve the follow-up rate with a high degree of satisfaction. Key words: Remote monitoring system; Cardiac implantable electronic device