Traffic Splitting for End-to-End Delay Jitter Control in Uplink Multi-Access Systems

2019 ◽  
Author(s):  
Megha Sahu ◽  
Snigdha Damle ◽  
Arzad A. Kherani
Keyword(s):  
Traffic Splitting ◽  
Delay Jitter ◽  
End To End Delay ◽  
End To End ◽  
Multi Access

Multicast Routing Protocols, Algorithms and its QOS Extensions

2005 ◽  
pp. 2036-2041
Author(s):  
D. Chakraborty ◽  
G. Chakraborty ◽  
N. Shiratori
Keyword(s):  
Data Storage ◽  
High Speed ◽  
Multicast Routing ◽  
Multicast Communication ◽  
Delay Jitter ◽  
End To End Delay ◽  
End To End ◽  
Storage Technologies ◽  
New Applications ◽  
Audio Video

The advancement in optical fiber and switching technologies has resulted in a new generation of high-speed networks that can achieve speeds of up to a few gigabits per second. Also, the progress in audio, video and data storage technologies has given rise to new distributed real-time applications. These applications may involve multimedia, which require low end-to-end delay. The applications’ requirements, such as the end-to-end delay, delay jitter, and loss rate, are expressed as QoS parameters, which must be guaranteed. In addition, many of these new applications involve multiple users, and hence the importance of multicast communication. Multimedia applications are becoming increasingly important, as networks are now capable of carrying continuous media traffic, such as voice and video, to the end user. When there is a lot of information to transmit to a subset of hosts, then multicast is the best possible way to facilitate it. This article addresses different multicast routing algorithms and protocols. We have also discussed about the QoS multicast routing and conclude this article with mobile multicasting.

Quality of Service (QoS) Routing in Mobile Ad Hoc Networks

2010 ◽  
pp. 464-496
Author(s):  
R. Asokan ◽  
A. M. Natarajan
Keyword(s):  
Quality Of Service ◽  
Ad Hoc ◽  
Qos Routing ◽  
Qos Provisioning ◽  
Mobile Nodes ◽  
Delay Jitter ◽  
End To End Delay ◽  
Mobile Ad Hoc ◽  
End To End

A Mobile Ad hoc NETwork (MANET) consists of a collection of mobile nodes. They communicate in a multi-hop way without a formal infrastructure. Owing to the uniqueness such as easy deployment and self-organizing ability, MANET has shown great potential in several civil and military applications. As MANETs are gaining popularity day-by-day, new developments in the area of real time and multimedia applications are increasing as well. Such applications require Quality of Service (QoS) evolving with respect to bandwidth, end-to-end delay, jitter, energy etc. Consequently, it becomes necessary for MANETs to have an efficient routing and a QoS mechanism to support new applications. QoS provisioning for MANET can be achieved over different layers, starting from the physical layer up to the application layer. This chapter mainly concentrates on the problem of QoS provisioning in the perception of network layer. QoS routing aims at finding a feasible path, which satisfies QoS considering bandwidth, end-to-end delay, jitter, energy etc. This chapter provides a detailed survey of major contributions in QoS routing in MANETs. A few proposals on the QoS routing using optimization techniques and inter-layer approaches have also been addressed. Finally, it concludes with a discussion on the future directions and challenges in QoS routing support in MANETs.

Multicast

2002 ◽  
pp. 225-245
Author(s):  
D. Chakraborty ◽  
G. Chakraborty ◽  
N. Shiratori
Keyword(s):  
Data Storage ◽  
High Speed ◽  
Multicast Routing ◽  
Multicast Communication ◽  
Delay Jitter ◽  
End To End Delay ◽  
End To End ◽  
Storage Technologies ◽  
New Applications ◽  
Audio Video

The advancement in optical fiber and switching technologies has resulted in new generation high-speed networks that can achieve speeds of up to a few gigabits per second. Also, the progress in audio, video and data storage technologies has given rise to new distributed real-time applications. These applications may involve multimedia, which require low end-to-end delay. The applications’ requirements, such as the end-to-end delay, delay jitter, and loss rate, are expressed as QoS parameters that must be guaranteed. In addition, many of these new applications may involve multiple users, and hence the importance of multicast communication. In this chapter we discuss the basics of multicasting, its routing protocols and algorithms, along with different QoS-based multicast routing.

Catechize Global Optimization through Leading Edge Firefly Based Zone Routing Protocol

2020 ◽  
Vol 13 (2) ◽  
pp. 147-157 ◽  
Author(s):  
Neha Sharma ◽  
Sherin Zafar ◽  
Usha Batra
Keyword(s):  
Global Optimization ◽  
Routing Protocol ◽  
Firefly Algorithm ◽  
Leading Edge ◽  
Packet Delivery Ratio ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
Zone Routing Protocol ◽  
End To End Delay ◽  
End To End

Background: Zone Routing Protocol is evolving as an efficient hybrid routing protocol with an extremely high potentiality owing to the integration of two radically different schemes, proactive and reactive in such a way that a balance between control overhead and latency is achieved. Its performance is impacted by various network conditions such as zone radius, network size, mobility, etc. Objective: The research work described in this paper focuses on improving the performance of zone routing protocol by reducing the amount of reactive traffic which is primarily responsible for degraded network performance in case of large networks. The usage of route aggregation approach helps in reducing the routing overhead and also help achieve performance optimization. Methods: The performance of proposed protocol is assessed under varying node size and mobility. Further applied is the firefly algorithm which aims to achieve global optimization that is quite difficult to achieve due to non-linearity of functions and multimodality of algorithms. For performance evaluation a set of benchmark functions are being adopted like, packet delivery ratio and end-to-end delay to validate the proposed approach. Results: Simulation results depict better performance of leading edge firefly algorithm when compared to zone routing protocol and route aggregation based zone routing protocol. The proposed leading edge FRA-ZRP approach shows major improvement between ZRP and FRA-ZRP in Packet Delivery Ratio. FRA-ZRP outperforms traditional ZRP and RA-ZRP even in terms of End to End Delay by reducing the delay and gaining a substantial QOS improvement. Conclusion: The achievement of proposed approach can be credited to the formation on zone head and attainment of route from the head hence reduced queuing of data packets due to control packets, by adopting FRA-ZRP approach. The routing optimized zone routing protocol using Route aggregation approach and FRA augments the QoS, which is the most crucial parameter for routing performance enhancement of MANET.

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