Journal ArticleDOI
Packet Delivery Ratio Prediction for V2V Based on Radio Environment Map Considering Hidden Terminal Problem
Ayumu Ueda,Takeo Fujii +1 more
TLDR
This paper proposes a method for predicting the PDR with consideration of packet collisions, including the influence of hidden nodes, by using the positions and number of vehicles.Abstract:
Recently, vehicle-to-vehicle communication has been envisaged to be one of the technologies for realizing highly safe connected and automated driving. One of the approaches for predicting the radio environment is the use of a measurement-based spectrum database, which stores various pieces of information on the radio environment of data received and collected by vehicles; however, prediction of an accurate packet delivery ratio (PDR) with consideration of packet collisions is difficult if the vehicle density changes after the generation of PDR maps. This paper proposes a method for predicting the PDR with consideration of packet collisions, including the influence of hidden nodes, by using the positions and number of vehicles.read more
Citations
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Performance Analysis of ITS V2V Broadcast Communication Using CSMA/CA and a Roadside Relay Station at Intersections (特集 情報通信社会の新潮流をつくるモバイル通信と高度交通システム) -- (ITS)
Huiting Cheng,Yasushi Yamao +1 more
TL;DR: In this article, a theoretical model is proposed to analyze the performance of the broadcast relay network in detail, the model assumes a typical crossroad and takes into account fading, shadowing, the hidden terminal problem and the capture effect.
Journal ArticleDOI
Scheduling and Routing of Dispatching Medical Staff to Homes Healthcare from Different Medical Centers with considering Fairness Policy
TL;DR: The purpose of this article is to offer a paradigm for scheduling medical professionals from various medical institutes by analyzing several real-life factors and a new algorithm that produces numerous situations involving nurses’ schedules to solve three problems.
Journal ArticleDOI
Adaptive mobility-aware and reliable routing protocols for healthcare vehicular network.
TL;DR: The results reveal that the AODV routing protocol gives better performance for PDR as well as for PLR and the communication link established is also reliable for throughput, where OLSR produces a large average delay.
Journal ArticleDOI
Forecast Analysis of the Overall Structure Characteristics and Development Potential of the Sports Industry Based on Wireless Communication Networks
Youyun Zhang,Jingzhen Yang +1 more
TL;DR: Wang et al. as mentioned in this paper used the SVM regression algorithm under the radio spectrum prediction technology to forecast and analyze the development potential of China's sports industry, which showed that the prediction of the sports industry based on radio communication network is relatively accurate and effective.
References
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Journal ArticleDOI
Packet Switching in Radio Channels: Part II--The Hidden Terminal Problem in Carrier Sense Multiple-Access and the Busy-Tone Solution
TL;DR: The busy-tone multiple-access mode is introduced and analyzed as a natural extension of CSMA to eliminate the hidden-terminal problem and results show that BTMA with hidden terminals performs almost as well as CSMA without hidden terminals.
Proceedings ArticleDOI
Impact of connected and automated vehicles on traffic flow
TL;DR: The simulation results show that CAVs can contribute to significant fuel consumption and travel time reduction for diverse traffic conditions under average and high congestion scenarios and allow for more stable traffic patterns even for high density traffic.
Proceedings ArticleDOI
Effect of connected automated driving on traffic capacity
Qi Wang,Bin Li,Zhiheng Li,Li Li +3 more
TL;DR: This paper first analyzes the increase of traffic capacity regarding to the ratio of connected automated vehicles, then uses microscopic traffic model to verify the analysis conclusion.
Proceedings ArticleDOI
Smart Spectrum Management for V2X
TL;DR: A new smart spectrum management concept of V2X is proposed for supporting future CAV applications by using hierarchical spectrum managers with spectrum databases, and dynamic spectrum allocation and reliability prediction are realized by smartly combining spectrum measurement, modeling, database, and management.
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