scholarly journals ANALISIS PENGUJIAN KECEPATAN AKSES DATA PROVIDER GSM PADA PENGGUNA SMARTPHONE ANDROID DI KOTA BATAM

2020 ◽  
Author(s):  
Flora Novalina S
Keyword(s):  
Packet Loss ◽  
Signal Delay ◽  
Data Provider

Inovasi telekomunikasi saat ini berkembang dengan pesat. Hal ini terjadi karena adanya tuntutan zaman yang mengharuskan informasi ditransfer secara cepat. Smartphone merupakan ponsel yang dibekali dengan berbagai macam feature serta spesifikasi. Kemunculan smartphone bisa dibilang seperti sebuah komputer kecil dengan berbagai macam feature yang dapat membantu setiap orang dalam bekerja. Untuk mengetahui kualitas jaringan GSM harus dilakukan analisis parameter jaringan tersebut. Di lakukan pengukuran berdasarkan parameter kualitas jaringan pada infrastruktur jaringan seperti kecepatan akses dan kapasitas transmisi, dari titik pengirim ke titik penerima yang menjadi tujuan, parameter yang digunakan bandwidth, kuat signal, delay, packet loss, dan throughput. Dari hasil pengujian kecepatan akses data ketiga operator seluler masuk dalam kategori baik menurut standar TIPHON. Baik Telkomsel,Indosat, dan XL sangat bisa diandalkan. Berdasarkan hasil pengukuran Telkomsel lebih unggul dengan kecepatan akses download rata-rata 44,78 Mbps, kemudian disusul oleh Indosat 15,86 Mbps dan XL 9,92 Mbps. Tetapi pada kecepatan akses upload XL lebih unggul dengan kecepatan upload 43,5 Mbps, kemudian Indosat 23,55 Mbps, dan Telkomsel 7,2 Mbps.

Performance Comparison of MANET, VANET and FANET

2018 ◽  
Vol 8 (5) ◽  
pp. 132
Author(s):  
Aarti Sahu ◽  
Laxmi Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Wireless Network ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Fuzzy Logic Controller ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Comparison ◽  
Fuzzy Rules ◽  
Mobile Ad Hoc

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.

A Groundwork Based Novel Routing Protocol for Vehicular Ad hoc Networks

2017 ◽  
Vol 7 (11) ◽  
pp. 121
Author(s):  
Amolkirat Singh ◽  
Guneet Saini
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Traditional Approach ◽  
Unexpected Events ◽  
The Road ◽  
On The Road

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing algorithms can be developed which can provide reliable and secure communication among the mobile nodes.In this paper, we propose a Groundwork Based Ad hoc On Demand Distance Vector Routing Protocol (GAODV) focus on how the Road Side Units (RSU’s) utilized in the architecture plays an important role for making the communication reliable. In the interval of finding the suitable path from source to destination the packet loss may occur and the delay also is counted if the required packet does not reach the specified destination on time. So to overcome delay, packet loss and to increase throughput GAODV approach is followed. The performance parameters in the GAODV comes out to be much better than computed in the traditional approach.

Virtualized Fog Network with Load Balancing for IoT based Fog-to-Cloud

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Istabraq M. Al-Joboury ◽  
Emad H. Al-Hemiary
Keyword(s):  
Load Balancing ◽  
Packet Loss ◽  
Fog Computing ◽  
Transport Protocol ◽  
Network Simulator ◽  
Huge Number ◽  
Message Queue ◽  
Limited Bandwidth ◽  
Cloud Architecture ◽  
Fog Network

Fog Computing is a new concept made by Cisco to provide same functionalities of Cloud Computing but near to Things to enhance performance such as reduce delay and response time. Packet loss may occur on single Fog server over a huge number of messages from Things because of several factors like limited bandwidth and capacity of queues in server. In this paper, Internet of Things based Fog-to-Cloud architecture is proposed to solve the problem of packet loss on Fog server using Load Balancing and virtualization. The architecture consists of 5 layers, namely: Things, gateway, Fog, Cloud, and application. Fog layer is virtualized to specified number of Fog servers using Graphical Network Simulator-3 and VirtualBox on local physical server. Server Load Balancing router is configured to distribute the huge traffic in Weighted Round Robin technique using Message Queue Telemetry Transport protocol. Then, maximum message from Fog layer are selected and sent to Cloud layer and the rest of messages are deleted within 1 hour using our proposed Data-in-Motion technique for storage, processing, and monitoring of messages. Thus, improving the performance of the Fog layer for storage and processing of messages, as well as reducing the packet loss to half and increasing throughput to 4 times than using single Fog server.

berry tugas jarkom

2020 ◽  
Author(s):  
berry clember
Keyword(s):  
Packet Loss ◽  
Packet Tracer

Koneksi jaringan komputer merupakan suatu hal yang mendasar dalam suatu jaringan karena bila koneksi bermasalah, maka semua jenis aplikasi yang dijalankan melalui jaringan komputer tidak dapat digunakan. Cisco Packet Tracer dapat digunakan untuk simulasi yang mencerminkan gambaran dari koneksi jaringan komputer pada sistem jaringan yang digunakan. Paper ini merancang dua buah perancangan, yakni perancangan dengan topologi mesh dan ring dari empat buah gedung dengan menggunakan software Cisco Packet Tracer dan menghubungkan jaringan antar gedung tersebut dengan perangkat berupa router, serta membandingkan hasil kinerja dari kedua perancangan tersebut. Parameter yang menjadi acuan dalam membandingkan kinerjanya adalah berupa delay, packet loss dan throughput. Dari analisis kinerja jaringan kedua perancangan tersebut untuk Perancangan I dari A ke B, A ke C dan A ke D didapat delay berturut-turut sebesar 114 ms, 110 ms dan 113 ms serta throughput sebesar 0,917 kbps, 1,258 kbps dan 1,638 kbps. Sedangkan untuk perancangan II dari A ke B, A ke C dan A ke D didapat delay berturut-turut sebesar 116 ms, 112 ms dan 140 ms serta throughput sebesar 1,252 kbps, 0,962 kbps dan 0,792 kbps. Sementara packet loss pada kedua perancangan tersebut adalah sama yaitu sebesar 2,5% .

An Experimental Exploration of the Impact of Network-Level Packet Loss on Network Intrusion Detection

2015 ◽  
Author(s):  
Sidney C. Smith ◽  
Kin W. Wong ◽  
II Hammell ◽  
Mateo Robert J. ◽  
Carlos J.
Keyword(s):  
Intrusion Detection ◽  
Packet Loss ◽  
Network Intrusion Detection ◽  
Network Intrusion ◽  
The Impact

ICMA: AN EFFICIENT INTEGRATED CONGESTION CONTROL APPROACH

2019 ◽  
Vol 14 ◽  
Author(s):  
Tayyab Khan ◽  
Karan Singh ◽  
Kamlesh C. Purohit
Keyword(s):  
Congestion Control ◽  
Packet Loss ◽  
Control Method ◽  
Multicast Communication ◽  
Bandwidth Utilization ◽  
File Transfer ◽  
Control Approach ◽  
Communication Technique ◽  
Control Scheme ◽  
Multiparty Video Conferencing

Background: With the growing popularity of various group communication applications such as file transfer, multimedia events, distance learning, email distribution, multiparty video conferencing and teleconferencing, multicasting seems to be a useful tool for efficient multipoint data distribution. An efficient communication technique depends on the various parameters like processing speed, buffer storage, and amount of data flow between the nodes. If data exceeds beyond the capacity of a link or node, then it introduces congestion in the network. A series of multicast congestion control algorithms have been developed, but due to the heterogeneous network environment, these approaches do not respond nor reduce congestion quickly whenever network behavior changes. Objective: Multicasting is a robust and efficient one-to-many (1: M) group transmission (communication) technique to reduced communication cost, bandwidth consumption, processing time and delays with similar reliability (dependability) as of regular unicast. This patent presents a novel and comprehensive congestion control method known as integrated multicast congestion control approach (ICMA) to reduce packet loss. Methods: The proposed mechanism is based on leave-join and flow control mechanism along with proportional integrated and derivate (PID) controller to reduce packet loss, depending on the congestion status. In the proposed approach, Proportional integrated and derivate controller computes expected incoming rate at each router and feedback this rate to upstream routers of the multicast network to stabilize their local buffer occupancy. Results: Simulation results on NS-2 exhibit the immense performance of the proposed approach in terms of delay, throughput, bandwidth utilization, and packet loss than other existing methods. Conclusion: The proposed congestion control scheme provides better bandwidth utilization and throughput than other existing approaches. Moreover, we have discussed existing congestion control schemes with their research gaps. In the future, we are planning to explore the fairness and quality of service issue in multicast communication.

ANALISIS DE CALIDAD DE SERVICIO EN REDES IPv6

2016 ◽  
Vol 26 (1) ◽  
pp. 7
Author(s):  
Jose Carlos Tavara Carbajal
Keyword(s):  
Quality Of Service ◽  
Packet Loss ◽  
Traffic Control ◽  
Video Traffic ◽  
Control Software ◽  
Delay Jitter ◽  
End To End Delay ◽  
Analysis Of Results ◽  
Ipv6 Protocol

RESUMENEste documento tiene como objetivo analizar el comportamiento de la calidad del servicio del protocolo IPv6 sobre el tráfico de video, para esto se realizó sobre un entorno real y se llevó acabo el análisis de resultados a través de un software estadístico de control del tráfico.Palabras Clave.-  Calidad de Servicio, Ancho de Banda, Retardo, Fluctuación de Retardo, Pérdidas de Paquetes.ABSTRACTThis paper has aimed to analyze of the service quality of the IPv6 protocol on video traffic, this was about a real environment and was conducted analysis of results through statistical traffic control software. Key words- Quality of Service, Bandwidth, End to end delay, Jitter, Packet loss.

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