Channel Prediction Based Scheduling for Data Dissemination in VANETs

Zeng, Fanhui; Zhang, Rongqing; Cheng, Xiang; Yang, Liuqing

doi:10.1109/lcomm.2017.2676766

Cited by 108 publications

(39 citation statements)

References 8 publications

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“…4) Performance benchmarking: We compare our content distribution scheme with two data dissemination frameworks in VANETs. One is a popular scheme called CodeOnBasic [14] which is the packet-level version of CodeOn, and the other one is a network coded version of RLS-SNR [20] which is a centralized scheme that uses RLS for channel prediction and SNR-based utility for V2V scheduling. Generally, our scheme outperforms two benchmark schemes in three major aspects: uses the rank difference between two vehicles as amount of innovative information.…”

Section: B Simulation Results and Discussionmentioning

confidence: 99%

“…However, the frequent status exchange leads to large traffic overhead and the symbol-level network coding requires large computational complexity. A SNR-based scheduling strategy was proposed in [20] for data dissemination where large-scale channel loss and vehicle positions were assumed to be well predicted by RLS. However, the impact of the small-scale fading on the utility of the vehicles were not considered which may make difference to the scheduling strategy.…”

Section: Related Work a Existing Content Distribution Protocolsmentioning

confidence: 99%

“…The communication range of the RSU as well as the vehicle is 200m. The large-scale path loss is characterized by the dualslop model [27]: (20) where P L 0 is the free space path loss at the reference distance d 0 = 10m, and the critical distance d c = 80m. We assume the line-of-sight (LOS) is the dominant component in Phase 1.…”

Section: A Simulation Settingsmentioning

confidence: 99%

“…Based on BATS code, we have proposed a joint I2V and V2V distribution protocol and a utility-based distributed V2V scheduling scheme where no packet reception status is exchanged and an individual vehicle can prioritize the transmission sequence in a distributed manner. Compared with the existing protocols with centralized scheduling and frequent status exchange [14], [20], our proposed scheme significantly reduces the total transmission delay and the network overhead. The effectiveness and scalability of the proposed scheme are verified through extensive simulations.…”

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confidence: 99%

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V2X Content Distribution Based on Batched Network Coding With Distributed Scheduling

Gao

Guan

et al. 2018

IEEE Access

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Content distribution is an application in intelligent transportation system to assist vehicles in acquiring information such as digital maps and entertainment materials. In this paper, we consider content distribution from a single roadside infrastructure unit to a group of vehicles passing by it. To combat the short connection time and the lossy channel quality, the downloaded contents need to be further shared among vehicles after the initial broadcasting phase. To this end, we propose a joint infrastructure-to-vehicle (I2V) and vehicle-to-vehicle (V2V) communication scheme based on batched sparse (BATS) coding to minimize the traffic overhead and reduce the total transmission delay. In the I2V phase, the roadside unit (RSU) encodes the original large-size file into a number of batches in a rateless manner, each containing a fixed number of coded packets, and sequentially broadcasts them during the I2V connection time. In the V2V phase, vehicles perform the network coded cooperative sharing by re-encoding the received packets. We propose a utility-based distributed algorithm to efficiently schedule the V2V cooperative transmissions, hence reducing the transmission delay. A closed-form expression for the expected rank distribution of the proposed content distribution scheme is derived, which is used to design the optimal BATS code. The performance of the proposed content distribution scheme is evaluated by extensive simulations that consider multi-lane road and realistic vehicular traffic settings, and shown to significantly outperform the existing content distribution protocols.Index Terms-Vehicular networks, joint I2V and V2V communication, content distribution, batched sparse code, channel rank distribution.

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Section: B Simulation Results and Discussionmentioning

confidence: 99%

Section: Related Work a Existing Content Distribution Protocolsmentioning

confidence: 99%

Section: A Simulation Settingsmentioning

confidence: 99%

mentioning

confidence: 99%

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V2X Content Distribution Based on Batched Network Coding With Distributed Scheduling

Gao

Guan

et al. 2018

IEEE Access

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“…High mobility makes a frequent topology change in result over a short time connection that is established between nodes in VANETs. Therefore, strong medium access control (MAC) protocols are a prerequisite for effective data dissemination strategies to enhance throughput and reduce communication overhead [33][34][35]. A dynamic topology network is vulnerable to different security attacks.…”

Section: Vehicular Ad Hoc Networkmentioning

confidence: 99%

A survey of local/cooperative-based malicious information detection techniques in VANETs

Arshad

Ullah

Ahmad

et al. 2018

J Wireless Com Network

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Vehicular ad hoc networks (VANETs) are emerged technology where vehicles and roadside units (RSUs) communicate with each other. VANETs can be categorized as a subbranch of mobile ad hoc networks (MANETs). VANETs help to improve traffic efficiency and safety and provide infotainment facility as well. The dissemination of messages must be relayed through nodes in VANETs. However, it is possible that a node may propagate false information in a network due to its malicious behaviour or selfishness. False information in VANETs can change drivers' behaviour and create disastrous consequences in the network. Therefore, sometimes false safety messages may endanger human life. To avoid any lass, it is more important to detect and avoid false messages. This paper has explained some important algorithms that can detect false messages in VANETs. The categorization of false message detection schemes based on local and cooperative behaviour has been presented in this article. The limitations and consequences of existing schemes as well as future work has been discussed. Keywords: VANETs, MANETs, Misbehaviour, False message detection, Security ReviewThis article analyses Single/local and Cooperative based malicious information detection techniques in VANETs. Single/local based detection schemes are further comprised of plausibility, consistency and single node behavior. However, these techniques performances are not upto the mark, because of single node reliance. The cooperative based detection techniques are more efficient than Single/local based detection schemes. The prerequisites for these scheme need more nodes, unlike Single/local based detection schemes. These techniques are classified based on consistency and behavior with neighbors. Trust-based detection techniques are analysed on previous communication history. However, these scheme needs a honest and sufficient number of nodes for reliable result.

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Stochastic modeling and performance analysis in balancing load and traffic for vehicular ad hoc networks: A review

Ravi

Kumar²,

et al. 2023

Int J Network Mgmt

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SummaryThe rapid growth of vehicular applications has resulted in high demand for Internet technology, which demands an unprecedented network capacity and a high quality of service (QoS). In vehicular ad hoc networks (VANETs), since nodes (vehicles) are highly mobile. The dynamic nature of the network topology in the VANET system changes due to frequent changes in link connectivity. The vehicles‐to‐vehicles (V2V), vehicles‐to‐infrastructure (V2I), and QoS, as well as the heterogeneity of applications within the VANET. VANETs have been introduced to make driving comfortable by providing safety and support to drivers. Due to the flexibility and offloading schemes available in‐vehicle applications, there are some limitations. However, there are many issues in providing optimum service provisioning and scheduling in the vehicular environment. In VANETs, BSs and roadside units (RSUs) improve QoS. However, Internet services transmit packets to vehicles using stochastic models, and it predicts the traffic on a VANET. We provide open challenges to drive stochastic models in this direction.

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Channel Prediction Based Scheduling for Data Dissemination in VANETs

Cited by 108 publications

References 8 publications

V2X Content Distribution Based on Batched Network Coding With Distributed Scheduling

V2X Content Distribution Based on Batched Network Coding With Distributed Scheduling

A survey of local/cooperative-based malicious information detection techniques in VANETs

Stochastic modeling and performance analysis in balancing load and traffic for vehicular ad hoc networks: A review

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