Vehicles to Pedestrians Signal Transmissions Based on Cloud Computing
Zhiyi Huang, Junliang Ye, Jiaqi Chen, Xiaohu Ge, Yonghui Li

TL;DR
This paper proposes a cloud computing-based system with multi-hop wireless backhaul to improve safety message transmission between vehicles and pedestrians, aiming to reduce collisions and fatalities.
Contribution
It introduces a novel multi-hop wireless transmission scheme for vehicle-to-pedestrian safety messages leveraging cloud computing to address transmission bottlenecks.
Findings
Derived success probability and delay metrics for the proposed scheme.
Demonstrated the impact of SINR threshold on transmission success.
Numerical simulations validate the effectiveness of the multi-hop approach.
Abstract
Collisions between vehicles and pedestrians usually result in the fatality to the vulnerable road users (VRUs). Thus, new technologies are needed to be developed for protecting the VRUs. Based on the high density of pedestrians and limited computing capability of base stations, in this paper the cloud computing technologies are adopted to handle the huge amounts of safety-critical messages. Moreover, the wireless multi-hop backhaul technology is adopted to overcome the bottlenecks of limited transmission capability and queueing delay of the transmitted safety-critical messages between base stations and clouds. Based on the multi-hop wireless transmission scheme, the signal transmission success probability and delay between pedestrians and clouds are derived for performance analysis. Furthermore, numerical simulations are performed to illustrate the relationship between the transmission…
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Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Opportunistic and Delay-Tolerant Networks · Human Mobility and Location-Based Analysis
