Cognitive Radio Based Vehicular Sensor Network Using Optimal Tree Routing Protocol

Priyadharshini, A.; Sundarambal, M.

doi:10.1007/s11277-019-06840-x

Cited by 2 publications

(3 citation statements)

References 15 publications

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“…We introduced four of them in the related work section. We call them SBGR, 17 Kalman-SGR, 18 MCTRPFS, 21 and SADTR 23 for short, respectively. The other two forwarding schemes are the adaptive quality-of-servicebased routing for VANETs (AQRV) 27 and the clustering-based reliable low-latency routing scheme for vehicular networks (CRLLR).…”

Section: Evaluation Metric and Comparison Objectmentioning

confidence: 99%

“…The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. SBGR 17 24:1 6 7 :2 2 3 :9 Kalman-SGR 18 18:6 6 7 :7 2 7 :9 MCTRPFS 21 20:0 6 9 :0 2 5 :1 AQRV 27 23:0 6 6 :6 2 7 :3 CRLLR 28 21:3 6 7 :5 3 5 :6 SADTR 23 22:6 7 4 :1 2 4 :3 Proposed UEFS 15:3 7 1 :2 2 3 :0 SBGR: simple self-protected beaconless geographic routing; AQRV: adaptive quality-of-service-based routing for VANETs; CRLLR: clustering-based reliable low-latency routing; SADTR: social-aware data transmit and relay; UEFS: urban expressway forwarding scheme.…”

Section: Declaration Of Conflicting Interestsmentioning

confidence: 99%

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An urban expressway forwarding scheme for cognitive Internet of vehicles

Wang

Zhang

Sheng

et al. 2020

International Journal of Distributed Sensor Networks

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The Internet of vehicles is an essential component for building smart cities that can improve traffic safety and provide multimedia entertainment services. The cognitive radio–enabled Internet of vehicles was proposed to resolve the conflict between the increasing demand of Internet of vehicles applications and the limited spectrum resources. The multi-hop transmission is one of the most important issues in cognitive radio–enabled Internet of vehicles networks. Nevertheless, most existing forwarding solutions designed for the cognitive radio–enabled Internet of vehicles did not consider the urban expressway scenario, where primary base stations are densely installed with small coverage areas. In this case, it is difficult to ensure that the sender and the receiver of the same cognitive radio link have similar channel availability statistics, which makes cognitive radio links more likely to be interrupted. To address this challenge, we develop a multi-hop forwarding scheme to minimize the end-to-end delay for such networks. We first formulate the delay minimization problem as a non-linear integer optimization problem. Then, we propose an approach to select the relay candidates by jointly considering the high mobility of vehicles and the unique cognitive radio spectrum usage distributions in urban expressway scenarios. Finally, we propose the low-latency forwarding strategies by considering the channel availability and the delay cost of different situations of relay candidates. Simulations show the advantages of our proposed scheme, compared with state-of-art methods.

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Section: Evaluation Metric and Comparison Objectmentioning

confidence: 99%

Section: Declaration Of Conflicting Interestsmentioning

confidence: 99%

An urban expressway forwarding scheme for cognitive Internet of vehicles

Wang

Zhang

Sheng

et al. 2020

International Journal of Distributed Sensor Networks

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“…Stretchable wireless communication and stretchable power transfer systems find their spread applications in biosensors (electrophysiology, , temperature, blood pressure, cognitive competence, − neonatal care, etc), drug delivery, , and optogenetics applications , for the reasons of wire-free-based convenience and system connection simplicity, as well as unique conformal/compliant mechanical form factors. Most of these systems are designed to work in the industrial, scientific, and medical (ISM) frequency of 13.56 MHz. − Increasing the operation frequencies of these systems, e.g., to the GHz range − (e.g., 2.45 GHz), brings about additional advantages, such as increased data transmission rates, increased data transmission channels, and reduced system footprint size.…”

Section: Introductionmentioning

confidence: 99%

S- to X-Band Stretchable Inductors and Filters for Gigahertz Soft and Epidermal Electronics

Lan

Min

Kim

et al. 2021

ACS Appl. Mater. Interfaces

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To fulfill the increasing demand for radiofrequency (RF) wireless communication capacity for epidermal electronics, stretchable integrated circuits (ICs) in the gigahertz (GHz) range are desirable. Lumped RF inductors, as a key component in RFICs, typically dominate a large portion of the circuit/chip area and therefore make such inductors mechanically stretchable is critical for GHz-frequency stretchable RFICs. Most of the reported stretchable inductors operate in the MHz frequency range. The only GHz stretchable inductor shows a quality factor of about 2, limiting its potential RF applications. Here, stretchable inductors with a high quality factor of Q > 12.6 and resonance operation frequency of f res > 11.6 GHz are demonstrated by combining microspirals with stretchable structures, overcoming all of the shortcomings of previous demonstrations. Furthermore, a stretchable 1.5–2.6 GHz filter with a peak insertion loss of −2.3 dB at 1.8 GHz is developed, showing negligible performance changes under stretching or on the skin to demonstrate the utility in practical wireless applications like GSM and Bluetooth (2.45 GHz) bands. The demonstrations can facilitate multiple GHz epidermal RFICs in the future.

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Cognitive Radio Based Vehicular Sensor Network Using Optimal Tree Routing Protocol

Cited by 2 publications

References 15 publications

An urban expressway forwarding scheme for cognitive Internet of vehicles

An urban expressway forwarding scheme for cognitive Internet of vehicles

S- to X-Band Stretchable Inductors and Filters for Gigahertz Soft and Epidermal Electronics

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