scholarly journals Pengaruh Native VLAN terhadap Overhead Trafik Data pada Jaringan LAN

2021 ◽  
Vol 9 (2) ◽  
pp. 404
Author(s):  
KUKUH NUGROHO
Keyword(s):  
Traffic Load ◽  
Data Traffic ◽  
Network Overhead ◽  
Test Result

ABSTRAKPenggunaan switch pada jaringan yang sudah menerapkan teknologi VLAN dapat membagi jaringan menjadi beberapa wilayah jaringan yang berbeda dimana proses ini sebelumnya hanya bisa dilakukan oleh router. Data yang dipertukarkan antar wilayah jaringan yang berbeda akan melewati jalur trunk yang menghubungkan antar perangkat switch. Proses penambahan header ke dalam data dilakukan perangkat switch sebelum diteruskan melewati jalur trunk. Namun proses tersebut akan menambah overhead (beban trafik tambahan) dari setiap data yang dilewatkan pada jalur trunk. Produk switch dari Cisco memiliki fasilitas yang dinamakan sebagai native VLAN. Apabila asal wilayah VLAN dari data yang dilewatkan pada jalur trunk sama dengan informasi native VLAN yang tersimpan pada perangkat switch, maka data tersebut tidak perlu ditambahkan header disaat ingin dilewatkan jalur trunk. Penelitian ini bertujuan untuk menguji pengaruh penggunaan native VLAN dalam mengurangi beban trafik jaringan pada jalur trunk. Hasil pengujian memperlihatkan penggunaan native VLAN dapat mengurangi beban overhead trafik data sebesar 4,77%.Kata kunci: VLAN, Native VLAN, Trunk, Jaringan LAN, Overhead Trafik ABSTRACTThe use of switches in the switch network with implementing VLAN technology can divide a network into several different networks that previously just be done with a router. The data that is exchanged among different networks will pass the trunk link that connects between switches. The process of adding a header within data is done by a switch before entering that data into the trunk link. However, that process will increase overhead traffic (additional traffic load) within each data that passed on the trunk link. Cisco's switches have a facility known as native VLAN. If the origin of the data's VLAN area that will be passed on the trunk link is the same as native VLAN information, then the data will not add with a header when will pass on the trunk link. This research will analyze the effect of using native VLAN in reducing overload data traffic on the trunk link. The test result shows that the use of native VLAN can reduce data traffic overhead by 4.77%.Keywords: VLANs, Native VLANs, Trunk Link, Switch Network, Overhead Traffic

scholarly journals SIMULASI BEBAN LALU LINTAS JEMBATAN BENTANG 40 M DENGAN MENGGUNAKAN DATA WEIGH IN MOTION (WIM)

2020 ◽  
Vol 4 (2) ◽  
pp. 237
Author(s):  
Mahathir Mahathir ◽  
Made Suangga
Keyword(s):  
Shear Force ◽  
Bending Moment ◽  
Traffic Load ◽  
Measurement Technology ◽  
3D Analysis ◽  
Data Traffic ◽  
Load Measurement ◽  
Vehicle Load ◽  
Weigh In Motion ◽  
Actual Load

Vehicle load measurement technology continues to develop and one of them is the weigh in motion (WIM) load measurement technology. Weigh in motion (WIM) technology allow the measurement of vehicle load when vehicles moving, which is the actual load of traffic received by road and bridge. This study aims to compare the response of the bridge to the actual load of traffic from the WIM data with the standard load of SNI 1725:2016. This study using a composite steel girder bridge span 40 m, with WIM data of the Kaligawe Bridge in Semarang. Based on the characteristic of the vehicle axle load, class 40 namely the type of two-axle truck, has the largest axle load value 18 tons with an overload percentage 80%. Whereas based on the characteristic of the vehicle amount, class 30 namely the type of two-axle car, has the largest vehicle amount of 2296. The result of the 3D analysis of the bridge structure can be concluded that the WIM traffic data at Kaligawe Bridge Semarang obtained bending moment and shear force lower than the standard load of SNI 1725:2016. The ratio value of the maximum bending moment and shear force of WIM data traffic load to standard load of SNI 1725:2016 on 40 m span bridge are 0.93 and 0.96. This shows that the actual load of WIM data traffic has a load that is smaller than the standard load of SNI 1725: 2016. Keywords: bridge; design vehicle load; Monte Carlo simulation; weight in motion ABSTRAKTeknologi pengukuran beban kendaraan terus berkembang dan salah satunya adalah teknologi pengukuran beban kendaraan bergerak weigh in motion (WIM). Teknologi weigh in motion (WIM) memungkinkan pengukuran beban kendaraan dilakukan saat kendaraan melintas, yang merupakan beban aktual lalu lintas yang diterima oleh jalan dan jembatan. Penelitian ini bertujuan membandingkan respons jembatan terhadap beban aktual lalu lintas dari data WIM dengan beban rencana Standar SNI 1725:2016. Jembatan yang diteliti adalah jembatan gelagar baja komposit bentang 40 m, dengan menggunakan data WIM Jembatan Kaligawe Semarang. Berdasarkan karakteristik beban sumbu kendaraan, golongan 40 yaitu jenis kendaraan truk dua sumbu memiliki nilai beban sumbu terbesar 18 ton dengan persentase overload sebesar 80%. Sedangkan berdasarkan karakteristik jumlah kendaraan, golongan 30 yaitu jenis kendaraan mobil dua sumbu memiliki jumlah kendaraan sebesar 2296. Hasil analisis 3D struktur jembatan dapat disimpulkan bahwa beban aktual lalu lintas data WIM Jembatan Kaligawe Semarang menghasilkan momen lentur dan gaya geser yang lebih rendah dari beban standar SNI 1725:2016. Nilai rasio momen lentur dan gaya geser maksimum beban aktual lalu lintas data WIM terhadap beban standar SNI 1725:2016 pada jembatan bentang 40 m berturut-turut adalah 0.93 dan 0.96. Hal ini menunjukan bahwa beban aktual lalu lintas data WIM memiliki beban yang lebih kecil dari beban standar SNI 1725:2016.

scholarly journals ANALISIS KEBUTUHAN BANDWIDTH DENGAN MODEL SHARING SYSTEM PADA MIKROTIK ROUTERBOARD 450G DI JARINGAN OFFICE STTA

Compiler ◽  
2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Mardiana Irawaty ◽  
Ferry Mulyawan ◽  
Yenni Astuti
Keyword(s):  
Transmission Control Protocol ◽  
Measured Data ◽  
Traffic Load ◽  
System Model ◽  
The Internet ◽  
Traffic Data ◽  
Data Traffic ◽  
Transmission Control ◽  
Data Graph ◽  
Internet Network

The limitations between the amount of bandwidth and users can make the internet slow. Observing the flow of data on the internet network is one way to identify the  bandwidth requirements which used on the STTA office network. This thesis analyzes the data traffic with sharing system model. The observed data is in the category of elastic flow rate, i.e: TCP (Transmission Control Protocol). The traffic data is converted to a measured data graph and then  analyzed  by  traffic  load,  throughput,  and  flow  of  loss  parameters.  The  highest observation value of traffic load is 0.37, Throughput of 9.3 Mbps (93%), and the flow of loss of 23%. From the results of the research, it can be concluded that in general internet network at STTA office is in good category.

scholarly journals A Novel WLAN Roaming Decision and Selection Scheme for Mobile Data Offloading

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Nam Nguyen ◽  
Mohammad Arifuzzaman ◽  
Takuro Sato
Keyword(s):  
Traffic Load ◽  
Data Traffic ◽  
Mobile Nodes ◽  
Network Resource ◽  
Selection Scheme ◽  
Mobile Data ◽  
Access Points ◽  
The Right ◽  
Mobile Data Offloading ◽  
Point Of Service

The existing IEEE and 3GPP standards have laid the foundation for integrating cellular and WiFi network to deliver a seamless experience for the end-users when roaming across multiple access networks. However, in recent studies, the issue of making roaming decision and intelligently selecting the most preferable Point of Service to optimize network resource and improve end user’s experience has not been considered properly. In this paper, we propose a novel cellular and WiFi roaming decision and AP selection scheme based on state of the art, 3GPP TS24.312 and IEEE 802.11u, k standards. Our proposed scheme assists the mobile nodes to decide the right timing to make roaming decision and select preferable point of service based on the operator’s policies and real-time network condition. We also introduce our simulation model of a heterogeneous network with cellular and WiFi interworking as well as 3GPP ANDSF, TS24.312. It is a complete end-to-end system model from application to physical layer with considering user’s mobility and realistic traffic model. The proposed scheme outperformed the conventional WiFi selection scheme in terms of dynamically steering mobile node’s data traffic from macrocell to available Access Points. The proposed scheme increased the utilization and balanced the traffic load of access points and improved user’s experienced throughput.

scholarly journals Quantitative Comparison of the Efficiency and Scalability of the Current and Future LTE Network Architectures

2017 ◽  
Vol 2017 ◽  
pp. 1-20 ◽  
Author(s):  
Morteza Karimzadeh ◽  
Hans van den Berg ◽  
Ricardo de O. Schmidt ◽  
Aiko Pras
Keyword(s):  
Mobile Networks ◽  
Network Architecture ◽  
Performance Metrics ◽  
Data Packet ◽  
Traffic Load ◽  
Network Architectures ◽  
Data Traffic ◽  
Packet Delivery ◽  
Lte Network ◽  
Network Routers

The core architecture of current mobile networks does not scale well to cope with future traffic demands owing to its highly centralized composition. Typically, it is believed that decentralization of the network architecture would be a sustainable approach to deal with ever growing amount of mobile data traffic. Nevertheless, the decentralization strategy of network architecture has not been properly examined through quantitative performance studies. Given that LTE will be the leading mobile networking technology in the coming 5–10 years, we conduct a hybrid study model to compare performance of current and future (decentralized) LTE network architectures. Particularly, our analysis presents numerical results quantifying impact of the number of attached nodes on the load at network routers and links, on the latency, and on the processing cost of the user’s data and control planes. Analytical results demonstrate that decentralization of the LTE network architecture achieves higher performance compared to the current architecture and improves the latency and cost of data packet delivery more than 10 and 6 times, respectively. Furthermore, it is also observed that GTP outperforms PMIP for all studied performance metrics in the decentralized architecture and provides about twofold better latency and cost for data packet delivery and roughly 6 times lower data traffic load on the network routers.

scholarly journals Deterministic Directed Flooding Scheme (D2FS) for Inter-Cluster Flooding in Mobile Adhoc Networks

2019 ◽  
Vol 8 (6S2) ◽  
pp. 1051-1057
Keyword(s):  
Ad Hoc Networks ◽  
Network Performance ◽  
Ad Hoc ◽  
Traffic Load ◽  
Communication Overhead ◽  
Delivery Ratio ◽  
Data Traffic ◽  
Mobile Nodes ◽  
Hoc Networks ◽  
Forwarding Set

Mobile Ad hoc Networks (MANET) comprises a collection of numerous mobile nodes that communicates with one other with no dependence on any predefined infrastructure in the network. The characteristics of MANET such as independent, wireless, and self-configuration of MANETs allows the suitability of various application scenarios. Cluster based Flooding is an important issue in the design of MANET where it is an order to manage data traffic as it utilizes a set of chosen nodes to transmit data between two nodes. MANET networks frequently structured with mobile devices for enabling data transmission. An essential process of selecting forwarding set in the inter-cluster flooding. The routing protocol employ in the network often defines the energy efficiency and network performance in ad hoc networks. This paper presents a new deterministic directed flooding scheme (D2FS) for effectively choose the forwarding set for effective inter-cluster flooding. In addition, a Cluster Based Flooding utilizing Fuzzy Logic Scheme (CBF2S) to effectively transmit data is also presented. The devised D2FS model is tested using NS2 tool with respect to the existence of diverse hop counts. An extensive experimentation takes place to prove the superiority of the D2FS with respect to overhead, communication overhead, traffic load, packet delivery ratio and end to end delay.

scholarly journals UAV Positioning for Throughput Maximization Using Deep Learning Approaches

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2775 ◽  
Author(s):  
Yayeh Munaye ◽  
Lin ◽  
Adege ◽  
Tarekegn
Keyword(s):  
System Performance ◽  
Short Term Memory ◽  
Grid Point ◽  
Practical Importance ◽  
Traffic Load ◽  
Throughput Maximization ◽  
Learning Approaches ◽  
Data Traffic ◽  
Maximum Throughput ◽  
User Throughput

The use of unmanned aerial vehicles (UAVs) as a communication platform has great practical importance for future wireless networks, especially for on-demand deployment for temporary and emergency conditions. The user throughput estimation in a wireless system depends on the data traffic load and the available capacity to support that load. In UAV-assisted communication, the position of the UAV is one major factor that affects the capacity available to the data flows being served. This study applies multi-layer perceptron (MLP) and long short term memory (LSTM) approaches to determine the position of a UAV that maximizes the overall system performance and user throughput. To analyze and evaluate the system performance, we apply the hybrid of MLP-LSTM for classification regression tasks and K-means algorithms for automatic clustering of classes. The implementation of our work is done through TensorFlow packages. The performance of our proposed system is compared with other approaches to give accurate and novel results for both classification and regression tasks of the user throughput maximization and UAV positioning. According to the results, 98% of the user throughput maximization accuracy is correctly classified. Moreover, the UAV positioning provides accuracy levels of 94.73%, 98.33%, and 99.53% for original datasets (scenario 1), reduced features on the estimated values of user throughput at each grid point (scenario 2), and reduced feature datasets collected on different days and grid points achieved maximum throughput (scenario 3), respectively.

Mobility Based Performance Analysis DYMO, STAR and DSR Adhoc Routing Protocols

2011 ◽  
Vol 403-408 ◽  
pp. 3446-3453 ◽  
Author(s):  
Parma Nand ◽  
S.C. Sharma
Keyword(s):  
Routing Protocols ◽  
Performance Metrics ◽  
Dynamic Network ◽  
Traffic Load ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Data Traffic ◽  
Carrier Sense Multiple Access ◽  
Intermediate Hosts ◽  
Demand Routing

The wireless adhoc network is comprised of nodes (it can be static or mobile) with wireless radio interface. Each host is equipped with a CSMA/CA (carrier sense multiple access with collision avoidance) transceiver. These nodes are connected among themselves without central infrastructure and are free to move around. It is a multihop process because of the limited transmission range of energy constrained wireless nodes. This creates the scenario of multihop, where the packets originated from the source host are relayed through several intermediate hosts before reaching the destination. Routing is the process of finding a path from a source to destination among randomly distributed routers in dynamic network. In this paper table driven routing protocol STAR and on demand routing protocols DSR, DYMO based on IEEE 802.11 are surveyed and characteristic summary of these routing protocols is presented. Their performance is also analyzed on performance metrics throughput, jitter, data delivery ratio and end-to-end delay by varying nodes mobility with CBR data traffic load using QualNet 5.0.2 network simulator.

scholarly journals A priority-based congestion-avoidance routing protocol using IoT-based heterogeneous medical sensors for energy efficiency in healthcare wireless body area networks

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985398 ◽  
Author(s):  
Khalid M Awan ◽  
Nadeem Ashraf ◽  
Muhammad Qaiser Saleem ◽  
Osama E Sheta ◽  
Kashif Naseer Qureshi ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Routing Protocol ◽  
Body Area Networks ◽  
Congestion Avoidance ◽  
Sensor Nodes ◽  
Traffic Load ◽  
Data Traffic ◽  
Body Area ◽  
Critical Data

A wireless body area network is a collection of Internet of Things–based wearable heterogeneous computing devices primarily used in healthcare monitoring applications. A lot of research is in process to reduce the cost and increase efficiency in medical industry. Low power sensor nodes are often attached to high-risk patients for real-time remote monitoring. These sensors have limited resources such as storage capacity, battery life, computational power, and channel bandwidth. The current work proposes a multi-hop Priority-based Congestion-avoidance Routing Protocol using IoT based heterogeneous sensors for energy efficiency in wireless body area networks. The objective is to devise a routing protocol among sensor nodes such that it has minimum delay and higher throughput for emergency packets using IoT based sensor nodes, optimal energy consumption for longer network lifetime, and efficient scarce resource utilization. In our proposed work, data traffic is categorized into normal and emergency or life-critical data. For normal data traffic, next-hop selection will be selected based upon three parameters; residual energy, congestion on forwarder node, and signal-to-noise ratio of the path between source and forwarder node. We use the data aggregation and filtration technique to reduce the network traffic load and energy consumption. A priority-based routing scheme is also proposed for life-critical data to have less delay and greater throughput in emergency situations. Performance of the proposed protocol is evaluated with two cutting-edge routing techniques iM-SIMPLE and Optimized Cost Effective and Energy Efficient Routing. The proposed model outperforms in terms of network throughput, traffic load, energy consumption, and lifespan.

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