Next Steps in Multimedia Networking

2016 ◽  
pp. 1-24
Author(s):  
Dimitris N. Kanellopoulos
Keyword(s):  
Future Internet ◽  
Multimedia Communication ◽  
Future Research ◽  
Multimedia Networking ◽  
Wired Networks ◽  
Qos Guarantees ◽  
Future Research Directions ◽  
Future Internet Architectures ◽  
Bandwidth On Demand ◽  
Delivery Networks

This chapter presents in brief background knowledge on multimedia communication: multimedia applications and services, network and user QoS requirements, bandwidth on demand, multicasting, media synchronization, adaptive media coding, multimedia streaming, and end-system support for multimedia communication. In the second part, it deals with content delivery networks (CDNs). In the third part, it concentrates on issues for achieving multimedia optimization over heterogeneous wireless and wired networks. In the fourth part, it presents the main approaches for QoS guarantees over the Internet. This part tries to include the important aspects that have significantly impacted the enhancements to the basic Internet architecture and its associated protocols. In the fifth part, the chapter presents future Internet architectures. This is followed by some future research directions in multimedia networking.

Next Steps in Multimedia Networking

2018 ◽  
pp. 1703-1726
Author(s):  
Dimitris N. Kanellopoulos
Keyword(s):  
Future Internet ◽  
Multimedia Communication ◽  
Future Research ◽  
Multimedia Networking ◽  
Wired Networks ◽  
Qos Guarantees ◽  
Future Research Directions ◽  
Future Internet Architectures ◽  
Bandwidth On Demand ◽  
Delivery Networks

This chapter presents in brief background knowledge on multimedia communication: multimedia applications and services, network and user QoS requirements, bandwidth on demand, multicasting, media synchronization, adaptive media coding, multimedia streaming, and end-system support for multimedia communication. In the second part, it deals with content delivery networks (CDNs). In the third part, it concentrates on issues for achieving multimedia optimization over heterogeneous wireless and wired networks. In the fourth part, it presents the main approaches for QoS guarantees over the Internet. This part tries to include the important aspects that have significantly impacted the enhancements to the basic Internet architecture and its associated protocols. In the fifth part, the chapter presents future Internet architectures. This is followed by some future research directions in multimedia networking.

Vehicular Networks in the Eyes of Future Internet Architectures

2021 ◽  
pp. 70-97
Author(s):  
Hakima Khelifi ◽  
Senlin Luo ◽  
Boubakr Nour ◽  
Hassine Moungla ◽  
Syed Hassan Ahmed
Keyword(s):  
Vehicular Networks ◽  
High Mobility ◽  
Future Internet ◽  
Broadcast Channels ◽  
Future Research ◽  
Communication Models ◽  
Model Mapping ◽  
Promising Solution ◽  
Future Research Directions ◽  
Future Internet Architectures

The challenging characteristics of the vehicular environment such as high mobility, diversity of applications, dynamic topologies, unreliable broadcast channels, and short-lived connectivity call into the need to extend the IP-based network to fulfill the user and VANETs requirements. Researchers are developing new network communication models to transfer the future internet. The information-centric networking (ICN) paradigm is a promising solution that may overcome the issues mentioned above. ICN involves a named content, name-based routing, in-network caching, and content-based security, which make it a suitable architecture for VANET applications. In this chapter, the authors present recent advances in VANET solutions that rely on named-data networking (NDN), which is the most active ICN implementation. The issues of the current host-centric model, mapping between NDN and VANET, is also discussed along with future research directions.

Service Provision Evolution in Self-Managed Future Internet Environments

2011 ◽  
pp. 112-140
Author(s):  
Apostolos Kousaridas ◽  
Panagis Madgalinos ◽  
Nancy Alonistioti
Keyword(s):  
Network Management ◽  
Service Provision ◽  
Future Internet ◽  
Future Research ◽  
Ip Multimedia Subsystem ◽  
Service Provisioning ◽  
Research Directions ◽  
Traditional Service ◽  
Future Research Directions ◽  
Internet Networks

Future Internet is based on the concepts of autonomicity and cognition, where each network element is able to monitor its surrounding environment, evaluate the situation, and decide the action that should be applied. In such context, the traditional service provisioning approaches necessitate a paradigm shift so as to incorporate the Cognitive Cycle. Towards this end, in this chapter, we introduce a Cognitive Service Provision framework suitable for Future Internet Networks. The proposed approach supports cognition by modeling a service as an aggregation of software components bundled together through a graph. Consequently, each service is composed by various components and is tailored to the operational context of the requestor. In order to prove the viability and applicability of the proposed approach we also introduce the enhancement of the IP Multimedia Subsystem through our Cognitive Service Provision framework. Finally, based on our work, we discuss future research directions and the link between service and network management.

scholarly journals Artificial Intelligence Techniques for Cognitive Sensing in Future IoT: State-of-the-Art, Potentials, and Challenges

2020 ◽  
Vol 9 (2) ◽  
pp. 21 ◽  
Author(s):  
Martins O. Osifeko ◽  
Gerhard P. Hancke ◽  
Adnan M. Abu-Mahfouz
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Energy Efficient ◽  
State Of The Art ◽  
Future Internet ◽  
Future Research ◽  
Research Directions ◽  
Efficient Data ◽  
Future Research Directions ◽  
Efficient Data Collection

Smart, secure and energy-efficient data collection (DC) processes are key to the realization of the full potentials of future Internet of Things (FIoT)-based systems. Currently, challenges in this domain have motivated research efforts towards providing cognitive solutions for IoT usage. One such solution, termed cognitive sensing (CS) describes the use of smart sensors to intelligently perceive inputs from the environment. Further, CS has been proposed for use in FIoT in order to facilitate smart, secure and energy-efficient data collection processes. In this article, we provide a survey of different Artificial Intelligence (AI)-based techniques used over the last decade to provide cognitive sensing solutions for different FIoT applications. We present some state-of-the-art approaches, potentials, and challenges of AI techniques for the identified solutions. This survey contributes to a better understanding of AI techniques deployed for cognitive sensing in FIoT as well as future research directions in this regard.

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