Memory Matters: Bumblebee Behavioral Models for Vehicle-to-Vehicle Communications

Gill, Kuldeep S.; Aygün, Bengi; Heath, Kevin N.; Gegear, Robert J.; Ryder, Elizabeth F.; Wyglinski, Alexander M.

doi:10.1109/access.2018.2830313

Cited by 13 publications

(11 citation statements)

References 34 publications

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“…With the use of this value, the channel assignment along the planned platoon Finally, we have compared the proposed solutions against two state-of-the-art algorithms aimed at dynamic channel se-lection for vehicular communications. First algorithm follows bumblebees behaviour [32]. This will be called a Bumblebee algorithm here.…”

Section: Dbscan Clusteringmentioning

confidence: 99%

“…However, in our case due to the nature of the platoon's route, the computational complexity is much lower. Another state-of-the-art channel assignment algorithms [31], [32] aim at lowering the number of channel switches in the vehicular communication scenario but without forecasting the whole platoon route. As a result, they will not guarantee the performance of our, Dijkstrabased algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Frequency Selection for Platoon Communications in Secondary Spectrum Using Radio Environment Maps

Hoffmann,

Kryszkiewicz,

Kliks

2021

Preprint

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Platoon-based driving is an idea that vehicles follow each other at a close distance, in order to increase road throughput and fuel savings. This requires reliable wireless communications to adjust the speeds of vehicles. Although there is a dedicated frequency band for vehicle-to-vehicle (V2V) communications, studies have shown that it is too congested to provide reliable transmission for the platoons. Additional spectrum resources, i.e., secondary spectrum channels, can be utilized when these are not occupied by other users. Characteristics of interference in these channels are usually location-dependent and can be stored in the so-called Radio Environment Maps (REMs). This paper aims to design REM, in order to support the selection of secondary spectrum channel for intra-platoon communications. We propose to assess the channel's quality in terms of outage probability computed, with the use of estimated interference distributions stored in REM. A frequency selection algorithm that minimizes the number of channel switches along the planned platoon route is proposed. Additionally, the REM creation procedure is shown that reduces the number of database entries using (Density-Based Spatial Clustering of Applications with Noise) DBSCAN algorithm. The proposals are tested using real IQ samples captured on a real road. Application of the DBSCAN clustering to the constructed REM provided 7% reduction in its size. Utilization of the proposed channel selection algorithm resulted in a 35 times reduction of channel switches concerning channel assignment performed independently in every location.

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Section: Dbscan Clusteringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Frequency Selection for Platoon Communications in Secondary Spectrum Using Radio Environment Maps

Hoffmann,

Kryszkiewicz,

Kliks

2021

Preprint

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“…Given the highly stochastic time-varying channel environment associated with vehicular communications our proposed distributed VDSA framework employs a Bumblebee-based VDSA algorithm [9]- [11] for the purpose of independent decision-making such that it can enable vehicle-to-vehicle (V2V) communication links with minimal latency and be robust to rapidly changing operating conditions. In this paper, the Bumblebee-based algorithm is integrated with a realistic IEEE 802.11p simulator and evaluated with respect to its feasibility as a distributed VDSA mechanism for platooning support.…”

Section: Distributed Vdsa Based On Bumblebee Behavioral Modelmentioning

confidence: 99%

“…platoon) selects a transmission channel based on spectrum sensing. This approach has been proposed in [9]- [11], which relies on the behavioral model of bumblebee foragers to provide efficient channel sensing and selection.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we investigate the idea of partial intraplatoon traffic offloading from the Control Channel (CCH) in congested 5.9 GHz band to TVWS using the VDSA framework. To enable channel sensing and selection We adopt the Bumblebee-based algorithm from [9]- [11] to dynamically select the transmission channel in TVWS in a distributed manner. We assume that all platoon vehicle perform spectrum sensing and share the results with the platoon leader,which is responsible for the selection of the transmission band.…”

Section: Introductionmentioning

confidence: 99%

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Distributed Vehicular Dynamic Spectrum Access for Platooning Environments

Sroka

Kryszkiewicz²,

Sybis³

et al. 2020

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

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In this paper, we propose a distributed Vehicular Dynamic Spectrum Access (VDSA) framework for vehicles operating in platoon formations. Given the potential for significant congestion in licensed frequency bands for vehicular applications such as 5.9 GHz. Our approach proposes to offload part of the intra-platoon data traffic to spectral white-spaces in order to enhance vehicular connectivity in support of on-road operations. To enable VDSA, a Bumblebee-based decision making process is employed which is based on the behavioral models of animals, is employed to provide a means of distributed transmission band selection. Simulation results show the distributed VDSA framework improves the leader packets reception ratio by 5%, thus indicating its potential to increase in reliability of intraplatoon communications.

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