Real-time packet loss prediction based on end-to-end delay variation

2005 ◽  
Vol 2 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Lopamudra Roychoudhuri ◽  
Ehab S. Al-Shaer
Keyword(s):  
Real Time ◽  
Packet Loss ◽  
End To End Delay ◽  
Loss Prediction ◽  
End To End ◽  
Delay Variation

Evaluating The Performance for DCF Protocol and EDCA Protocol

2015 ◽  
Vol 72 (5) ◽  
Author(s):  
Ahmed Abu-Khadrah ◽  
Zahriladha Zakaria ◽  
Mohdazlishah Othman
Keyword(s):  
Real Time ◽  
Packet Loss ◽  
Area Network ◽  
Distributed Coordination ◽  
Data Types ◽  
End To End Delay ◽  
Main Challenge ◽  
Qos Parameters ◽  
End To End ◽  
Coordination Function

Nowadays supporting quality of service (QOS) for real time application is the main challenge of the wireless area network. 802.11standards use distributed Coordination Function (DCF) protocol and Enhanced Distributed Channel Access (EDCA) protocol in the MAC layer. DCF protocol has only one queue for different data types, it deals with data depending on the arriving time. There is no priority to serve real time applications faster. However EDCA protocol has four queues and each queue works with specific data type. Voice, video, best effort and background are the different queues in the EDCA protocol. Different parameters and priorities are defined for each queue. The voice queue reserves the highest priority and serves its data first. In this paper QOS parameters are measured for both DCF and EDCA protocol by using OPNET simulation. The QOS parameters must reach the requirements to support QOS. The results show how QOS parameters do not reach the requirements when using DCF protocol. The values of the end to end delay and the packet loss percentage are 0.514second, 19.04% respectively. But, when using EDCA protocol the end to end delay becomes 0.0624 second and the percentage of the packet loss decreases until reach 0.00617%. So the QOS parameters achieve requirements with EDCA protocol and support QOS.

MQTT based QoS Model for IoT - M2M Critical Applications

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
Information Technology ◽  
Energy Consumption ◽  
Real Time ◽  
Packet Loss ◽  
Critical Systems ◽  
Iot Applications ◽  
M2m Communications ◽  
End To End Delay ◽  
End To End ◽  
Prioritization Scheme

The expeditious development of information technology provides opportunities for new remote and monitoring critical systems to be performed based on IoT technologies and M2M communications. This paper discusses important QoS issues in IoT systems and suggests a new QoS model for critical IoT applications, where each information must be delivered only once and in real-time. The proposal is based on the MQTT protocol with dynamic QoS handling, accordingly to the information importance. A prioritization scheme is adopted using different traffic classes, considering specific requirements for real-time communications and reliable operations while reducing end-to-end delay, packet loss, bandwidth, and energy consumption.

scholarly journals Simulasi Dan Analisis QoS Video Conference Melalui Jaringan Interworking IMS – UMTS Menggunakan Opnet

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Dadiek Pranindito
Keyword(s):  
Real Time ◽  
Packet Loss ◽  
Video Conference ◽  
Ip Multimedia Subsystem ◽  
Next Generation Network ◽  
Differentiated Service ◽  
End To End Delay ◽  
Generation Network ◽  
End To End ◽  
Voice Data

Next Generation Network (NGN) merupakan salah satu teknologi masa depan yang memberikan layanan berupa voice, data, multimedia, dan internet yang mengacu pada konvergensi layanan berbasis IP. Sebuah teknologi yang mendukung konsep konvergensi berbasis IP adalah IP Multimedia Subsystem (IMS). UMTS merupakan salah satu teknologi bergerak seluler generasi ke tiga (3G) yang sebagian besar masyarakat gunakan karena rata-rata masyarakat sudah menggunakan gadget yang mendukung jaringan 3G. Dengan menggunakan jaringan 3G, masyarakat dapat melakukan komunikasi video conference. Video conference merupakan salah satu komunikasi jarak jauh yang bersifat real time sebagai pengganti tatap muka. Namun, layanan video conference pada jaringan IMS – UMTS perlu diketahui kelayakannya. Video conference merupakan layanan yang sensitif terhadap delay sehingga perlu dilakukan analisis QoS. Pada penelitian ini dilakukan simulasi dan analisis QoS video conference pada jaringan IMS – UMTS. Simulasi ini akan dibuat dengan menggunakan software OPNET modeler 14.5. Skenario yang digunakan adalah skenario Integrated Service (IntServ) untuk mengamati jaringan IMS dan Differentiated Service (DiffServ) untuk mengamati hubungan antara IMS dengan UMTS. Penelitian ini menggunakan jumlah user yang berbeda-beda yaitu 4 user, 8 user, dan 12 user dengan waktu simulasi berbeda juga, yaitu 100 second, 200 second, dan 300 second. Dari hasil penelitian yang didapat, pada skenario Intserv dihasilkan nilai rata-rata terbesar untuk throughput adalah 26.643 Mbit/s, end-to-end delay sebesar 233.069 ms, dan jitter  sebesar 0.073 ms. Untuk skenario Diffserv dihasilkan nilai rata-rata terbesar untuk throughput adalah 8.484 Mbit/s, end-to-end delay sebesar 164.138 ms, dan jitter sebesar 0.488 ms. Untuk nilai packet loss ke dua skenario menghasilkan nilai kurang dari 1%. Jika dilihat dari standar ITU-T G-114, rata-rata nilai parameter pada ke dua skenario termasuk dalam kategori baik.

scholarly journals Mitigation of packet loss with end-to-end delay in wireless body area network applications

2022 ◽  
Vol 12 (1) ◽  
pp. 460
Author(s):  
Suha Sahib Oleiwi ◽  
Ghassan N. Mohammed ◽  
Israa Al_Barazanchi
Keyword(s):  
Network Lifetime ◽  
Routing Protocol ◽  
Packet Loss ◽  
Wireless Body Area Network ◽  
Body Area Network ◽  
Area Network ◽  
Body Area ◽  
Cooperative Routing ◽  
End To End Delay ◽  
End To End

The wireless body area network (WBAN) has been proposed to offer a solution to the problem of population ageing, shortage in medical facilities and different chronic diseases. The development of this technology has been further fueled by the demand for real-time application for monitoring these cases in networks. The integrity of communication is constrained by the loss of packets during communication affecting the reliability of WBAN. Mitigating the loss of packets and ensuring the performance of the network is a challenging task that has sparked numerous studies over the years. The WBAN technology as a problem of reducing network lifetime; thus, in this paper, we utilize cooperative routing protocol (CRP) to improve package delivery via end-to-end latency and increase the length of the network lifetime. The end-to-end latency was used as a metric to determine the significance of CRP in WBAN routing protocols. The CRP increased the rate of transmission of packets to the sink and mitigate packet loss. The proposed solution has shown that the end-to-end delay in the WBAN is considerably reduced by applying the cooperative routing protocol. The CRP technique attained a delivery ratio of 0.8176 compared to 0.8118 when transmitting packets in WBAN.

scholarly journals Impact of Direction Parameter in Performance of Modified AODV in VANET

2020 ◽  
Vol 9 (3) ◽  
pp. 40 ◽  
Author(s):  
Afsana Ahamed ◽  
Hamid Vakilzadian
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Routing Protocols ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
End To End Delay ◽  
Distance Vector ◽  
End To End ◽  
Route Request ◽  
The Impact

A vehicular ad hoc network (VANET) is a technology in which moving cars are used as routers (nodes) to establish a reliable mobile communication network among the vehicles. Some of the drawbacks of the routing protocol, Ad hoc On-Demand Distance Vector (AODV), associated with VANETs are the end-to-end delay and packet loss. We modified the AODV routing protocols to reduce the number of route request (RREQ) and route reply (RREP) messages by adding direction parameters and two-step filtering. The two-step filtering process reduces the number of RREQ and RREP packets, reduces the packet overhead, and helps to select the stable route. In this study, we show the impact of the direction parameter in reducing the end-to-end delay and the packet loss in AODV. The simulation results show a 1.4% reduction in packet loss, an 11% reduction in the end-to-end delay, and an increase in throughput.

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