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.

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.

scholarly journals Operations management of smart logistics: A literature review and future research

2021 ◽  
Author(s):  
Bo Feng ◽  
Qiwen Ye
Keyword(s):  
Operations Management ◽  
Optimization Problems ◽  
Future Research ◽  
Information Communication ◽  
Logistics Industry ◽  
Smart Logistics ◽  
Promising Solution ◽  
Future Research Directions ◽  
Offline Channels ◽  
The Internet Of Things

AbstractThe global collaboration and integration of online and offline channels have brought new challenges to the logistics industry. Thus, smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations. Technologies, such as the Internet of Things, information communication technology, and artificial intelligence, enable more efficient functions into logistics operations. However, they also change the narrative of logistics management. Scholars in the areas of engineering, logistics, transportation, and management are attracted by this revolution. Operations management research on smart logistics mainly concerns the application of underlying technologies, business logic, operation framework, related management system, and optimization problems under specific scenarios. To explore these studies, the related literature has been systematically reviewed in this work. On the basis of the research gaps and the needs of industrial practices, future research directions in this field are also proposed.

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.

scholarly journals Regulation and function of capicua in mammals

2020 ◽  
Vol 52 (4) ◽  
pp. 531-537 ◽  
Author(s):  
Yoontae Lee
Keyword(s):  
Dna Sequences ◽  
Target Genes ◽  
Enterohepatic Circulation ◽  
High Mobility ◽  
Spinocerebellar Ataxia Type ◽  
Future Research ◽  
Physiological Processes ◽  
Systemic Autoimmunity ◽  
Future Research Directions ◽  
And Function

Abstract Capicua (CIC) is an evolutionarily conserved transcription factor. CIC contains a high-mobility group (HMG) box that recognizes specific DNA sequences to regulate the expression of various target genes. CIC was originally identified in Drosophila melanogaster as a transcriptional repressor that suppresses the receptor tyrosine kinase signaling pathway. This molecule controls normal organ growth and tissue patterning as well as embryogenesis in Drosophila. Recent studies have also demonstrated its extensive functions in mammals. For example, CIC regulates several developmental and physiological processes, including lung development, abdominal wall closure during embryogenesis, brain development and function, neural stem cell homeostasis, T cell differentiation, and enterohepatic circulation of bile acids. CIC is also associated with the progression of various types of cancer and neurodegeneration in spinocerebellar ataxia type-1, systemic autoimmunity, and liver injury. In this review, I provide a broad overview of our current understanding of the regulation and functions of CIC in mammals and discuss future research directions.

scholarly journals DRL-Based Intelligent Resource Allocation for Diverse QoS in 5G and toward 6G Vehicular Networks: A Comprehensive Survey

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Hoa TT. Nguyen ◽  
Minh T. Nguyen ◽  
Hai T. Do ◽  
Hoang T. Hua ◽  
Cuong V. Nguyen
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning ◽  
Vehicular Networks ◽  
Optimization Problems ◽  
Vehicular Network ◽  
Future Research ◽  
Vehicular Communication ◽  
Real Time System ◽  
Research Directions ◽  
Future Research Directions

The vehicular network is taking great attention from both academia and industry to enable the intelligent transportation system (ITS), autonomous driving, and smart cities. The system provides extremely dynamic features due to the fast mobile characteristics. While the number of different applications in the vehicular network is growing fast, the quality of service (QoS) in the 5G vehicular network becomes diverse. One of the most stringent requirements in the vehicular network is a safety-critical real-time system. To guarantee low-latency and other diverse QoS requirements, wireless network resources should be effectively utilized and allocated among vehicles, such as computation power in cloud, fog, and edge servers; spectrum at roadside units (RSUs); and base stations (BSs). Historically, optimization problems have mostly been investigated to formulate resource allocation and are solved by mathematical computation methods. However, the optimization problems are usually nonconvex and hard to be solved. Recently, machine learning (ML) is a powerful technique to cope with the complexity in computation and has capability to cope with big data and data analysis in the heterogeneous vehicular network. In this paper, an overview of resource allocation in the 5G vehicular network is represented with the support of traditional optimization and advanced ML approaches, especially a deep reinforcement learning (DRL) method. In addition, a federated deep reinforcement learning- (FDRL-) based vehicular communication is proposed. The challenges, open issues, and future research directions for 5G and toward 6G vehicular networks, are discussed. A multiaccess edge computing assisted by network slicing and a distributed federated learning (FL) technique is analyzed. A FDRL-based UAV-assisted vehicular communication is discussed to point out the future research directions for the networks.

scholarly journals Inter-PLMN Mobility Management Challenges for Supporting Cross-Border Connected and Automated Mobility (CAM) Over 5G

2021 ◽  
Author(s):  
Konstantinos Trichias ◽  
Panagiotis Demestichas ◽  
Nikolaos Mitrou
Keyword(s):  
Service Management ◽  
High Mobility ◽  
Superior Performance ◽  
Future Research ◽  
Attractive Alternative ◽  
5G Networks ◽  
Cross Border ◽  
Future Research Directions ◽  
Multiple Challenges ◽  
Multiple Domains

As the first 5G networks are being deployed across the world, new services enabled by the superior performance of 5G in terms of throughput, latency and reliability are emerging. Connected and Automated Mobility (CAM) services are perhaps among the most demanding applications that 5G networks will have to support and their deployment, performance and potential for improvement has been well investigated over the past few years. However, CAM operation in multi-operator environments and the inevitable inter-PLMN handover caused by the inherent mobility of CAM services have not been studied in length. Moreover, the multiple domains, multi-vendor components and inherent high mobility of the cross-border vehicular environment, introduce multiple challenges in terms of network management and dynamic slicing, making Zero-touch network and Service Management (ZSM) solutions an attractive alternative for these environments. The work presented in this study attempts to analyse the requirements for cross-border CAM operation for the five main CAM use cases selected by 3GPP, based on input from key European stakeholders (Network Operators, vendors, Automotive Manufacturers etc.). A detailed analysis and categorization into four categories of the main challenges for cross-border CAM service provisioning is performed, namely Telecommunication, Application, Security/Privacy and Regulatory issues, while potential solutions based on existing and upcoming technological enablers are discussed for each of them. The role of standardization and relevant regulatory and administrative bodies is analysed, leading to insights regarding the most promising future research directions in the field of cross-border CAM services.

scholarly journals “BLOCKCHAIN BASED PRIVACY PRESERVATION IN HEALTHCARE: A RECENT TRENDS AND CHALLENGES”

2021 ◽  
Vol 58 (1) ◽  
pp. 5315-5324
Author(s):  
Nidhi Raghav, Anoop Bhola
Keyword(s):  
Patient Care ◽  
Privacy Preservation ◽  
Security And Privacy ◽  
Healthcare Sector ◽  
Future Research ◽  
Healthcare Data ◽  
Blockchain Technology ◽  
Accuracy And Precision ◽  
Promising Solution ◽  
Future Research Directions

Healthcare is changing fast with better and efficient services for patient care. Electronic health records are electronic saved information related to health in digitally format. With EHR the healthcare data can be easily shared across the different healthcare settings.EHR enhances the Patient care by providing the accuracy and precision of medical records where security and privacy preservation are challenging in the system. In recent years, Blockchain has become viable technology which has invaded different domains. Blockchain has enormous potentialin healthcare because of demand of patient centric system and to connect different systems together. Blockchain is a promising solution for security and preservation of privacy in a healthcare sector. In this paper we have provide a comprehensive review of healthcare systems which are based on blockchain. The main objective of this paper is to reveal about blockchain technology in privacy preservation, security of healthcare and its future research directions. We have recognized and analyze latest research papers and literature to present a challenges and comparison between various published work in the domain of blockchain for healthcare.

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