Transmission Control Method to Realize Efficient Data Retention in Low Vehicle Density Environments

Goto, Ichiro; Nobayashi, Daiki; Tsukamoto, Kazuya; Ikenaga, Takeshi; Lee, Myung J.

doi:10.1007/978-3-030-29035-1_38

Cited by 4 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From these results, every method is difficult to diffuse STD to the whole retention area up to T c , when the average number of neighboring nodes is 2.5 and 3. Note that the limit of STD retention method with the low-density environment in the "retention" phase is proposed and evaluated in [17]. Next, we focus on the case where the number of neighboring nodes is more than 5.…”

Section: Evaluation In Model Of Simple Vehicular Mobilitymentioning

confidence: 99%

Efficient Data Diffusion and Elimination Control Method for Spatio-Temporal Data Retention System

Yamasaki

Nobayashi²,

Tsukamoto³

et al. 2021

IEICE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

Shumpei YAMASAKI †a) , Student Member, Daiki NOBAYASHI † †b) , Kazuya TSUKAMOTO † † †c) , Takeshi IKENAGA † †d) , Members, and Myung J. LEE † † † †e) , Nonmember SUMMARYWith the development and spread of Internet of Things technologies, various types of data for IoT applications can be generated anywhere and at any time. Among such data, there are data that depend heavily on generation time and location. We define these data as spatiotemporal data (STD). In previous studies, we proposed a STD retention system using vehicular networks to achieve the "Local production and consumption of STD" paradigm. The system can quickly provide STD for users within a specific location by retaining the STD within the area. However, this system does not take into account that each type of STD has different requirements for STD retention. In particular, the lifetime of STD and the diffusion time to the entire area directly influence the performance of STD retention. Therefore, we propose an efficient diffusion and elimination control method for retention based on the requirements of STD. The results of simulation evaluation demonstrated that the proposed method can satisfy the requirements of STD, while maintaining a high coverage rate in the area.

show abstract

Section: Evaluation In Model Of Simple Vehicular Mobilitymentioning

confidence: 99%

Efficient Data Diffusion and Elimination Control Method for Spatio-Temporal Data Retention System

Yamasaki

Nobayashi²,

Tsukamoto³

et al. 2021

IEICE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…These vehicles are selected by other carrier vehicles based on the stability estimation index, which is a function of the link's duration and connectivity. In [19], the authors propose a probabilistic timer-based approach to retain packets within the destination region by periodically retransmitting data messages. Time is divided into time frames, and at the beginning of each frame, the protocol randomly determines the next transmission time within the frame.…”

Section: A Protocols That Retain Packets Within the Destination Regionmentioning

confidence: 99%

“…Drivers can also post virtual signs, for instance, to notify other drivers about road hazards. In this paper, we present GeoTemporal-cast, an opportunistic time-stable geocast routing protocol that, unlike previous proposals, does not assume that either data messages are generated inside the geographic destination region (e.g., [8], [19], [23]- [29]) or that an underlying routing protocol will deliver the packets to the destination region (e.g., [18] [30]). Section II presents a more detailed analysis of these proposals.…”

Section: Introductionmentioning

confidence: 99%

Efficient Time-Stable Geocast Routing in Delay-Tolerant Vehicular Ad-Hoc Networks

et al. 2020

View full text Add to dashboard Cite

Time-Stable Geocast is a group communication pattern where the destination is composed of a set of nodes that, at any time during a predefined time interval, have been located within a given geographic destination region. Time-Stable Geocast is well suited to supporting Smart City and Intelligent Transportation Systems (ITS) applications such as road safety, crowdsensing, entertainment, and business applications that can benefit from disseminating position and time-based abiding information. In this paper, we present GeoTemporal-cast, an opportunistic time-stable geocast routing protocol for Delay-Tolerant Vehicular Ad Hoc Networks (DT-VANETs) that, unlike previous proposals, does not assume that either data messages are generated inside the geographic destination region or that an underlying routing protocol will deliver the packets there. GeoTemporal-cast computes shortest-path trees over the street-layout graph that are rooted at a connected component that includes all the nodes representing intersections located inside the destination region. By traveling along the edges of these trees, data messages can reach the destination region from all the streets with access to the destination region. We evaluate the performance of GeoTemporal-cast using detailed simulations in NS-3 that consider city-wide realistic scenarios involving up to 9,080 vehicles. Our results show that GeoTemporalcast outperforms a set of time-stable protocols for Delay-Tolerant Networks, including Time-Stable Geographically-Restricted Epidemic and variations of Spray & Wait, in terms of delivery ratio, delivery delay, and overhead.

show abstract

“…In a low vehicle density environment, each vehicle must accelerate data transmission activities as described above, but excessive consumption of radio resources leads to degradation of communication quality. Therefore, in order to achieve appropriate data transmission control according to the situation, our propose method adjusts its transmission period based on its position relationship with neighboring vehicles [3].…”

Section: Introductionmentioning

confidence: 99%

Transmission Control Method for Data Retention Taking into Account the Low Vehicle Density Environments

Goto

Nobayashi

Tsukamoto

et al. 2021

IEICE Trans. Inf. & Syst.

Self Cite

View full text Add to dashboard Cite

Ichiro GOTO †a) , Student Member, Daiki NOBAYASHI †b) , Kazuya TSUKAMOTO † †c) , Takeshi IKENAGA †d) , Members, and Myung LEE † † †e) , Nonmember SUMMARY With the development and spread of Internet of Things (IoT) technology, various kinds of data are now being generated from IoT devices. Some data generated from IoT devices depend on geographical location and time, and we refer to them as spatio-temporal data (STD). Since the "locally produced and consumed" paradigm of STD use is effective for location-dependent applications, the authors have previously proposed a vehicle-based STD retention system. However, in low vehicle density environments, the data retention becomes difficult due to the decrease in the number of data transmissions in this method. In this paper, we propose a new data transmission control method for data retention in the low vehicle density environments.

show abstract

Transmission Control Method to Realize Efficient Data Retention in Low Vehicle Density Environments

Cited by 4 publications

References 5 publications

Efficient Data Diffusion and Elimination Control Method for Spatio-Temporal Data Retention System

Efficient Data Diffusion and Elimination Control Method for Spatio-Temporal Data Retention System

Efficient Time-Stable Geocast Routing in Delay-Tolerant Vehicular Ad-Hoc Networks

Transmission Control Method for Data Retention Taking into Account the Low Vehicle Density Environments

Contact Info

Product

Resources

About