In view of the rapid development edge computing and vehicular network, edge-assisted crowdsensing system has brought significant benefits to Intelligent Transportation Systems (ITS). To satisfy requirements ITS applications, a substantial number sensed data are generated continuously, which incurs considerable communication computation delays. addition, with fast-moving vehicles sheer amount data, loss becomes an issue during process uploading. deal these challenges, this paper aims propose...

Under the situations of energy dilemma, Internet has become one most important technologies in international academic and industrial areas. However, massive small data from users, which are too scattered unsuitable for compression, can easily exhaust computational resources lower random access possibility, thereby reducing system performance. Moreover, electric substations sensitive to transmission latency user data, such as controlling information. traditional usually could not meet...

Edge-assisted mobile crowdsensing is an emerging paradigm where users collect, and share sensing data at the edge of networks. With abundant on-board resources, large movement patterns intelligent vehicles, they have become candidates to sense up-to-date, fine-grained information for areas. The design vehicle recruitment in edge-assisted challenging due selfishness, uneven distribution as well spatiotemporal constraints vehicular applications. To deal with these challenges, this paper...

Edge-assisted vehicular crowdsensing (EAVC) system is an emerging data collection paradigm in Internet of Vehicles (IoV), where intelligent vehicles collaboratively perform complex sensing tasks under the guidance edge server. One main characteristics EAVC that large and balanced spatiotemporal coverage paramount importance to support various applications. Most existing works have focused on recruiting pervasive nondedicated conduct collection. However, collected cannot satisfy requirement...

Mobile crowdsensing (MCS) has appeared as a viable solution for data gathering in Internet of Vehicle (IoV). As it utilizes plenty mobile users to perform sensing tasks, the cost sensor deployment can be reduced and quality improved. However, there exist two main challenges IoV-based MCS, which are privacy issues malicious vehicles issues. Therefore, how protect privacy, resist vehicles, recruit trustworthy contributors crucial investigated. In order solve simultaneously, we propose...

Traffic light-free intersection control is envisioned to alleviate congestion and manage vehicles intelligently. With the help of vehicle-to-infrastructure (V2I) communication edge computing (EC), are instructed cross with high vehicle safety traffic efficiency without lights. However, unstable channel conditions can lead reduction traveling safety. In this paper, we propose a robust autonomous (AIC) approach global optimization scheduling, which protects connected from collision under any...

The emergence of various applications for intelligent vehicles poses technical challenges on both communication and computing in vehicular crowdsensing systems due to large data volume high performance requirements. In this paper, an edge-assisted uploading architecture is presented, where can access different types networks simultaneously satisfy requirements applications. order enhance the quality service (QoS) network utilization, effective selection traffic allocation scheme developed....

Vehicular crowdsensing system plays an important role in monitoring the dynamic characteristics of real environment with assistance mobile edge computing (MEC). However, connected vehicles (CVs) continuously generate a huge amount sensed data, which causes severe data redundancy and considerable communication overhead. To tackle above challenge, we propose efficient collection scheme for vehicular to mitigate overhead while improving quality. Particularly, design preprocessing mechanism...

Telemedicine is the inevitable trend of medical development. Diverse categories telemedicine put forward different demands to network. As an important enabler 5G, network slicing can meet service requirements in scenario by multiple isolated virtual networks on same physical infrastructure. How ensure services through with limited resources has always been a problem be solved. In this paper, we consider hierarchical serve customized services. What's more, classification model based Radial...

Mobile crowdsensing (MCS) has appeared as a viable solution for data gathering in Internet of Vehicle (IoV). As it utilizes plenty mobile users to perform sensing tasks, the cost on sensor deployment can be reduced and quality improved. However, there exist two main challenges IoV-based MCS, which are privacy issues existence malicious vehicles. In order solve these simultaneously, we propose privacy-protecting reputation management scheme MCS. particular, our execute quickly since its...

Vehicular crowdsensing is an efficient method of data collection in cities, benefiting from the powerful moving and sensing capabilities intelligent vehicles. Modeling capacities vehicles analyzing effect based on sensor setup schemes are crucial vehicular system. If we can infer strength towards surrounding spatial points advance, it would facilitate determination which to recruit for uploading data, thereby achieving uniform wide coverage. However, not considered current research due...

During the transition from human-driven vehicles to a fully connected automated vehicle (CAV) traffic environment, hybrid transportation system in which (HDVs) and CAVs coexist will face challenges owing uncertainty of HDVs trajectories. Accurately predicting trajectories conducting safety warnings for them is essential improve system. In this paper, we propose safety-aware trajectory prediction with spatio-temporal attentional GAN (SSTAttGAN) Considering multiple driving characteristics,...

Vehicle-based mobile crowdsensing (MCS) is a novel paradigm for data collection that recruits vehicles over large geographic area to fulfill complex sensing requirements. In reality, are dynamically involved in recruitment time, which requires an online manner assess and recruit vehicles. Compared with offline recruitment, executed the context only includes trajectory information of connecting MCS at current makes decisions real-time. this paper, vehicle mechanism based on deterministic...