C-VeT An Open Research Platform for VANETs: Evaluation of Peer to Peer Applications in Vehicular Networks

2008 ◽  
Author(s):  
Eugenio Giordano ◽  
Andrea Tomatis ◽  
Abhishek Ghosh ◽  
Giovanni Pau ◽  
Mario Gerla
Keyword(s):  
Vehicular Networks ◽  
Peer To Peer ◽  
Open Research ◽  
Research Platform

UAV Lab, Open Research Platform for Unmanned Aerial Vehicles

2011 ◽  
pp. 175-186 ◽  
Author(s):  
Péter Bauer ◽  
Paw Yew Chai ◽  
Luigi Iannelli ◽  
Rohit Pandita ◽  
Gergely Regula ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Open Research ◽  
Research Platform

An Evaluative Review and Research Challenges of the Simulation in Cloud Environment

2017 ◽  
Vol 5 (4) ◽  
pp. 59-73
Author(s):  
Fairouz Fakhfakh ◽  
Hatem Hadj Kacem ◽  
Ahmed Hadj Kacem
Keyword(s):  
Cloud Environment ◽  
Financial Cost ◽  
Comprehensive Review ◽  
Simulation Tools ◽  
Research Challenges ◽  
Several Variables ◽  
Open Research ◽  
Research Platform ◽  
Time Required ◽  
Cloud Applications

The first obstacle to the realization of research on cloud computing is the development of an appropriate research platform. Although commercial clouds are realistic as platforms of research, they are not always practical due to the financial cost and time required by experiments. Also, it is difficult to achieve the evaluation of some critical scenarios and failure. In addition, the experiments are not repeatable, because there are several variables that are not under control of the tester which may affect results. Therefore, it is indispensable to use cloud simulators in order to model and evaluate the performance of cloud applications. This work presents a detailed taxonomy which focuses on the different features of cloud simulators. Then, it provides a comprehensive review of the existing simulation tools available to researchers and industry engineers. Also, a comparative study of these tools is presented. Finally, a discussion of the open research challenges concludes the paper.

Unicast routing protocols for urban vehicular networks: review, taxonomy, and open research issues

2014 ◽  
Vol 15 (7) ◽  
pp. 489-513 ◽  
Author(s):  
Syed Adeel Ali Shah ◽  
Muhammad Shiraz ◽  
Mostofa Kamal Nasir ◽  
Rafidah Binti Md Noor
Keyword(s):  
Routing Protocols ◽  
Vehicular Networks ◽  
Research Issues ◽  
Unicast Routing ◽  
Open Research

Software-Defined Vehicular Networks (SDVN) for Intelligent Transportation Systems (ITS)

2021 ◽  
pp. 305-327
Author(s):  
Rinki Sharma
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Intelligent Transportation ◽  
Vehicular Network ◽  
Transportation Systems ◽  
Vehicular Communication ◽  
Research Issues ◽  
Open Research

Vehicular communication is going to play a significant role in the future intelligent transportation systems (ITS). Due to the highly dynamic nature of vehicular networks (VNs) and need for efficient real-time communication, the traditional networking paradigm is not suitable for VNs. Incorporating the SDN technology in VNs provides benefits in network programmability, heterogeneity, connectivity, resource utility, safety and security, routing, and traffic management. However, there are still several challenges and open research issues due to network dynamicity, scalability, heterogeneity, interference, latency, and security that need to be addressed. This chapter presents the importance of vehicular communication in future ITS, the significance of incorporating the SDN paradigm in VNs, taxonomy for the role of SDVN, the software-defined vehicular network (SDVN) architecture, and open research issues in SDVN.

scholarly journals Converting Access Microbiology to an open research platform: community survey results

2021 ◽  
Vol 3 (9) ◽  
Author(s):  
Alexandra M. Howat ◽  
Justin Clark
Keyword(s):  
Peer Review ◽  
Open Data ◽  
Howard Hughes Medical Institute ◽  
Open Access Journal ◽  
Medical Institute ◽  
Project Proposal ◽  
Focus Group Research ◽  
Open Research ◽  
Research Platform ◽  
Review Model

Following the Microbiology Society’s successful bid for a Learned Society Curation Award from the Wellcome Trust and Howard Hughes Medical Institute, the Society is converting our sound science, open access journal, Access Microbiology, to an open research platform. As part of this, we conducted a survey of our community to gauge current attitudes towards the platform and here we present some of these results. The majority of respondents (57 %) said they would always or sometimes want to remain anonymous on their peer review report, whilst 75 % of respondents said that as an author they would be happy to make the data underlying their research open. There was a clear desire for a range of research types that are often seen with sound science publications and rigorous research. An encouraging 94 % of respondents stated that the platform is somewhere they would consider publishing, demonstrating the enthusiasm in these respondents for a new publishing platform for their community. Given this data and that from our previous focus group research, the platform will launch as outlined in the original project proposal and adopt a transparent peer review model with an open data policy.

scholarly journals Converting Access Microbiology to an open research platform: focus group and AI review tool research results

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Alexandra M. Howat ◽  
Alexander Mulhern ◽  
Hilary F. Logan ◽  
Gaynor Redvers-Mutton ◽  
Chris Routledge ◽  
...  
Keyword(s):  
Focus Group ◽  
Howard Hughes Medical Institute ◽  
Medical Institute ◽  
Science Journal ◽  
Technical Feasibility ◽  
Group Feedback ◽  
Open Research ◽  
Research Platform ◽  
Review Reports ◽  
Academic Record

The Microbiology Society will be launching an open research platform in October 2021. Developed using funding from the Wellcome Trust and the Howard Hughes Medical Institute (HHMI), the platform will combine our current sound-science journal, Access Microbiology, with artificial intelligence (AI) review tools and many of the elements of a preprint server. In an effort to improve the rigour, reproducibility and transparency of the academic record, the Access Microbiology platform will host both preprints of articles and their Version of Record (VOR) publications, as well as the reviewer reports, Editor's decision, authors' response to reviewers and the AI review reports. To ensure the platform meets the needs of our community, in February 2020 we conducted focus group meetings with various stakeholders. Using articles previously submitted to Access Microbiology, we undertook testing of a range of potential AI review tools and investigated the technical feasibility and utility of including these tools as part of the platform. In keeping with the open and transparent ethos of the platform, we present here a summary of the focus group feedback and AI review tool testing.

scholarly journals Development of a Mobile Inter-Vehicular Communication System Based on Gossip Algorithm

2020 ◽  
Vol 14 (11) ◽  
pp. 4
Author(s):  
Petros Mashwama ◽  
Stephen Gbenga Fashoto ◽  
Elliot Mbunge ◽  
Simanga Gwebu
Keyword(s):  
Ad Hoc Network ◽  
Vehicular Networks ◽  
Ad Hoc ◽  
Peer To Peer ◽  
Vehicular Communication ◽  
Self Organized ◽  
Peer Network ◽  
Communication Approach ◽  
Peer To Peer Network ◽  
Gossip Algorithm

<h1>Mobile Inter-vehicular communication network is an ad hoc network that allows peer vehicles to share and receive data. The existing inter-vehicular communication approach uses data from a limited number of data sources located in distant areas. This leads to high latency caused by the short-range antennas used to connect the peers. Inter-vehicular networks are dynamic and self-organized networks that do not use any external infrastructure to send and receive data. Currently, inter-vehicular networks only exist as part of a hybrid system and hence there is a need for a faster inter-vehicular network which can function independently. In this study, we developed a model which uses the gossip algorithm to send and receive data. The results show that over time, in a peer-to-peer network, the distance to be covered and the delay time are reduced. In the current models, however, the delay and distance covered remain constant. The results show that a peer-to-peer model is faster.</h1><p> </p>

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