scholarly journals Design dan Penerapan SD WAN Pada PT Rafalsindo menggunakan Metode Dynamic Multi-Path optimization (DMPO)

2020 ◽  
Vol 5 ◽  
pp. 116-123
Author(s):  
Ahmad Rais Ruli ◽  
Rio Wirawan
Keyword(s):  
Real Time ◽  
Path Optimization ◽  
4G Lte

SD-WAN ialah jaringan yang ditentukan perangkat lunak dalam jaringan area luas (WAN). SD-WAN menyederhanakan pengelolaan dan pengoperasian WAN dengan memisahkan perangkat keras jaringan dari prosedur kontrolnya. Konsep ini mirip dengan bagaimana jaringan yang ditentukan perangkat lunak menerapkan teknologi virtualisasi buat meningkatkan pengelolaan dan operasi pusat data , Aplikasi utama SD-WAN ialah buat memungkinkan perusahaan membangun WAN berkinerja lebih tinggi menggunakan akses Internet berbiaya rendah dan tersedia secara komersial, memungkinkan bisnis buat sebagian atau seluruhnya menggantikan teknologi koneksi WAN pribadi yang lebih mahal seperti MPLS . Sekedar informasi sebelum nya PT Rafalsindo memnggunakan MPLS (Multi Protocol Cap Switching) dimana sekarang terlihat jpath sewa yang mahal secara jpath sewa dimana PT Rafalsindo memiliki bebapa Site di Pulau Jawa, dengan dipilih SD-WAN ini memanfaatkan Keterampilan program yang Luwes jaringan yang ditentukan perangkat lunak buat menyediakan jpath jpath perutean dan melakukan kontrol lalu lintas buat mengurangi biaya jaringan dengan pembongkaran lalu lintas dari spathan sewa mahal ke internet publik , dalam Inplementasi ini penulis menggunakan metode Dynamic Multi-Path Optimization (DMPO), dimana Dynamic Multi-Path Optimization (DMPO) ialah Gabungan jaringan internet khusus, Internet broadband, 4G-LTE, dan MPLS dengan pengarah tautan per Antaran yang sadar aplikasi dan remediasi sesuai permintaan buat menantaranai kinerja yang terbaik buat permintaan suara dan video real-time melalui transportasi apa pun, Adapun tujuan dari penelitian ini adalah Gabungan jaringan internet khusus, Internet broadband, 4G-LTE, dan MPLS dengan pengarah tautan per paket yang sadar aplikasi dan remediasi sesuai permintaan untuk mencapai kinerja yang optimal.

scholarly journals ENHANCED VANET ROUTING PROTOCOLS FOR DYNAMIC MAPPING IN REAL TIME TRAFFIC

2019 ◽  
Vol 01 (03) ◽  
pp. 139-147
Author(s):  
Wang Haoxiang ◽  
Smys S
Keyword(s):  
Real Time ◽  
Routing Protocols ◽  
Traffic Management ◽  
Path Optimization ◽  
Delivery Ratio ◽  
Digital Map ◽  
Real Time Traffic ◽  
Dynamic Mapping ◽  
Adhoc Network ◽  
Frame Work

The developments in the means of transportation along with the communication advancements has made the automotives to step into its next level of innovation by providing a safe, convenient and well-timed transportation. This is made possible by the introduction of the frame work that is particularly designed to establish connectivity between vehicles on road without any previous structure to support with. This paradigm formed particularly in organizing communication between vehicles is the vehicular Adhoc network (VANET) that causes a vehicles to vehicle connection for proper managing of the traffic flow to make the travel more safe and comfortable. The paper proposes a dynamic mapping of real time traffic with the acquisition of digital map by crowd mapping with clustering to offer path optimization to minimize the delay in the responses, for having an efficient traffic managing. The evaluation of the proposed methodology ensures the minimization of the delay in the communication and the improved delivery ratio incurred, when compared with the carry-forward based routings methods that cause more delay resulting in imperfect traffic management.

Enhancing Modeling for Network Selection Using Graph Theory in Beyond 4G Networks

2020 ◽  
Vol 16 (1) ◽  
pp. 48-69
Author(s):  
Mohamed Lahby
Keyword(s):  
Graph Theory ◽  
Real Time ◽  
Access Network ◽  
Network Selection ◽  
Multiple Interfaces ◽  
4G Networks ◽  
Significant Performance ◽  
Selection Decision ◽  
Major Trend ◽  
4G Lte

In recent years, the development and the deployment of different generation systems such as 3G (UMTS, Wi-Fi), 4G (LTE, WIMAX), and 5G have become a reality for different telecommunication operators. At the same time, the development of new mobile devices with multiple interfaces have shifted the behavior of users concerning the utilization of the internet. Additionally, several streaming servers are available to provide real time applications such as e-commerce transactions, video streaming, online gaming, etc. As a result, the users have the privilege to use different multimedia applications at anytime and anywhere. The major trend in Beyond 4G networks is determining the best access network for the end user in terms of quality of service (QoS) during the network selection decision. Thus, in this article, the authors investigate graph theory and the AHP approach to deal with the network selection issue. The experimental results show that the proposed policy can achieve a significant performance in terms of QoS metrics for real-time streaming than conventional algorithms.

scholarly journals Analyzing Reliability of the Communication for Secure and Highly Available GOOSE-Based Logic Selectivity

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Peyman Jafary ◽  
Antti Supponen ◽  
Mikko Salmenperä ◽  
Sami Repo
Keyword(s):  
Communication Network ◽  
Real Time ◽  
High Reliability ◽  
Transmission Time ◽  
Need To Evaluate ◽  
Protection Devices ◽  
Communication Reliability ◽  
Electrical Distribution Network ◽  
4G Lte ◽  
Secured Communication

In an electrical distribution network, Logic Selectivity significantly reduces both the number and duration of outages. Generic Object-Oriented Substation Events (GOOSE) have a key role in the decision-making process of substation protection devices using GOOSE-based Logic Selectivity. GOOSE messages are exchanged between remote protection devices over the communication network. Secured communication with low latency and high reliability is therefore required in order to ensure reliable operation as well as meeting real-time requirement of the Logic Selectivity application. There is thus a need to evaluate feasibility of the selected communication network technology for Logic Selectivity use cases. This paper analyzes reliability of cellular 4G/LTE Internet for GOOSE communication in a Logic Selectivity application. For this purpose, experimental lab set-ups are introduced for different configurations: ordinary GOOSE communication, secured GOOSE communication by IPsec in Transport mode, and redundant GOOSE communication using the IEC 62439-3 Parallel Redundancy Protocol. In each configuration, the GOOSE retransmissions are recorded for a period of three days and the average GOOSE transmission time is measured. Furthermore, the measured data is classified into histograms and a probability value for communication reliability, based on the transmission time, is calculated. The statistical analysis shows that 4G Internet satisfies the real-time and reliability requirements for secure and highly available GOOSE-based Logic Selectivity.

scholarly journals SAGE: A S plit- A rchitecture Methodolo g y for E fficient End-to-End Autonomous Vehicle Control

2021 ◽  
Vol 20 (5s) ◽  
pp. 1-22
Author(s):  
Arnav Malawade ◽  
Mohanad Odema ◽  
Sebastien Lajeunesse-degroot ◽  
Mohammad Abdullah Al Faruque
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Industry Standard ◽  
Wide Range ◽  
Energy Consuming ◽  
Time Latency ◽  
4G Lte ◽  
Hardware Platforms

Autonomous vehicles (AV) are expected to revolutionize transportation and improve road safety significantly. However, these benefits do not come without cost; AVs require large Deep-Learning (DL) models and powerful hardware platforms to operate reliably in real-time, requiring between several hundred watts to one kilowatt of power. This power consumption can dramatically reduce vehicles’ driving range and affect emissions. To address this problem, we propose SAGE: a methodology for selectively offloading the key energy-consuming modules of DL architectures to the cloud to optimize edge, energy usage while meeting real-time latency constraints. Furthermore, we leverage Head Network Distillation (HND) to introduce efficient bottlenecks within the DL architecture in order to minimize the network overhead costs of offloading with almost no degradation in the model’s performance. We evaluate SAGE using an Nvidia Jetson TX2 and an industry-standard Nvidia Drive PX2 as the AV edge, devices and demonstrate that our offloading strategy is practical for a wide range of DL models and internet connection bandwidths on 3G, 4G LTE, and WiFi technologies. Compared to edge-only computation, SAGE reduces energy consumption by an average of 36.13% , 47.07% , and 55.66% for an AV with one low-resolution camera, one high-resolution camera, and three high-resolution cameras, respectively. SAGE also reduces upload data size by up to 98.40% compared to direct camera offloading.

scholarly journals An Empirical Study on Low Emission Taxiing Path Optimization of Aircrafts on Airport Surfaces from the Perspective of Reducing Carbon Emissions

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1649 ◽  
Author(s):  
Nan Li ◽  
Yu Sun ◽  
Jian Yu ◽  
Jian-Cheng Li ◽  
Hong-fei Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
Emission Reduction ◽  
Trajectory Optimization ◽  
Optimization Methods ◽  
Optimization Method ◽  
Path Optimization ◽  
Pollutant Emissions ◽  
Future Research ◽  
Aircraft Emissions ◽  
Fuel Consumption And Emissions

Aircraft emissions are the main cause of airport air pollution. One of the keys to achieving airport energy conservation and emission reduction is to optimize aircraft taxiing paths. The traditional optimization method based on the shortest taxi time is to model the aircraft under the assumption of uniform speed taxiing. Although it is easy to solve, it does not take into account the change of the velocity profile when the aircraft turns. In view of this, this paper comprehensively considered the aircraft’s taxiing distance, the number of large steering times and collision avoidance in the taxi, and established a path optimization model for aircraft taxiing at airport surface with the shortest total taxi time as the target. The genetic algorithm was used to solve the model. The experimental results show that the total fuel consumption and emissions of the aircraft are reduced by 35% and 46%, respectively, before optimization, and the taxi time is greatly reduced, which effectively avoids the taxiing conflict and reduces the pollutant emissions during the taxiing phase. Compared with traditional optimization methods that do not consider turning factors, energy saving and emission reduction effects are more significant. The proposed method is faster than other complex algorithms considering multiple factors, and has higher practical application value. It is expected to be applied in the more accurate airport surface real-time running trajectory optimization in the future. Future research will increase the actual interference factors of the airport, comprehensively analyze the actual situation of the airport’s inbound and outbound flights, dynamically adjust the taxiing path of the aircraft and maintain the real-time performance of the system, and further optimize the algorithm to improve the performance of the algorithm.

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