Reliable broadcast mechanism for emergency message in urban vehicular
            <i>ad hoc</i>
            networks

Yang, Jer Yen; Huang, Chuanhe; Fan, Xuejun

doi:10.1049/iet-its.2018.5484

Cited by 9 publications

(9 citation statements)

References 19 publications

(33 reference statements)

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“…In order to deal with emergency traffic accidents, Khan et al [20] use Internetof-Things (IoT) to build an emergency vehicle priority and self-organizing traffic control platform that minimizes EVs' waiting times. Yang et al [21] propose a reliable broadcast mechanism based on road layout information to ensure the coverage and reliability of emergency information. In addition, more and more studies have abstracted all traffic lights at an intersection into an agent.…”

Section: Related Workmentioning

confidence: 99%

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A Novel Real-Time Traffic Signal Control Strategy for Emergency Vehicles

Zhong

Chen

2022

IEEE Access

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Intelligent traffic signal control strategies for emergency vehicles (EV) is a research hotspot in intelligent transportation systems. Its research results will promote the shortening of the travel time of EVs, which is vital to saving lives and reducing property losses. This paper proposes a novel real-time traffic signal control strategy. The first step is called on-demand signal timing for reducing road saturation, which makes it possible that ordinary vehicles(OV) give way to EVs and make EVs travel faster, according to three indicators: the emergency response level(ERL), the congestion level of the road section(CLRS), and the time urgency level(TUL). The second step is called novel signal preemption, which combines nonintrusive preemption and intrusive preemption. This step provides green indicates and makes EVs pass through intersections quickly without stopping. The final step is called the recovery cycle strategy, which restores the road network to the normal situation as soon as possible by using linear programming(LP) to find the shortest green time in each phase after an EV passes the intersection. This paper conducts simulation experiments on an urban traffic simulator SUMO. The experimental results show that our novel strategy can shorten the travel time and reduce the traffic impact on the road network caused by prioritizing the EVs significantly. Compared with the fixed-time control method (FTCM), Min's flexible signal preemption method(FSPM), and Qin's intrusive signal preemption method (ISPM), our method can optimize travel time by up to 62.85%, 50.83%, and 11.62%, respectively.

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Section: Related Workmentioning

confidence: 99%

“…The network level finds the optimal path. Yang et al [21] introduce modified reinforcement learning to find the optimal route. Panahi et al [8] have designed a dynamic routing strategy that enables EVs to select the routes with the shortest travel time by leveraging the real-time information system.…”

Section: Related Workmentioning

confidence: 99%

A Novel Real-Time Traffic Signal Control Strategy for Emergency Vehicles

Zhong

Chen

2022

IEEE Access

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“…erefore, in order to solve these two problems, the typical way is to select some vehicles for forwarding, instead of repeating the broadcasting of all vehicles. Broadcast schemes are divided into five main categories according to the criteria for selecting forwarding nodes: geographic location-based [4][5][6][7][8][9][10][11][12][13], probability-based [14], [15], [16], [17], [18], [19], and [20], delay-based [21][22][23][24][25], clustering-based [26][27][28], and encoding based [29,30]. In Dynamic Hybrid Broadcasting Protocol (DHBP) [9], to solve the broadcast storm problem, the relay node stops rebroadcasting depending on the value of decision-making function (DMF).…”

Section: Related Workmentioning

confidence: 99%

“…And the DMF is related to packet level, distance, and data transmission times. In the reliable broadcast mechanism (RBM) [10], the reliability of the sender is determined by implicit acknowledgment. In short, the forwarding message of the next node is regarded as the 2…”

Section: Related Workmentioning

confidence: 99%

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Design and Analysis of Cooperative Broadcast Scheme Based on Reliability in Mesh Network

Dou

Tian

Yang

et al. 2021

Mobile Information Systems

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In order to ensure reliable data transmission of sender, the tree-based network is extended to Mesh network by collaborative technology, and the SW-HBH-CARQ broadcast scheme is introduced for the first time. Then, in order to solve the problems of broadcast storm and energy saving, SW-HBH-oiCARQ, SW-HBH-ieCARQ, and SW-HBH-oieCARQ are further proposed. Then, the four broadcasting schemes are analyzed quantitatively, and the performance indicators such as system energy consumption and time delay are obtained. Finally, the relationships between the performance indexes and the parameters are discussed by numerical simulation. At the same time, the effectiveness of the proposed schemes in energy saving is verified by comparing with the corresponding noncollaborative broadcasting scheme. However, the latency of proposes scheme is greater than uncooperative scheme, which is the cost of saving energy and resolving broadcast storms.

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