Resource allocation of video streaming over vehicular networks: A survey, some research issues and challenges
In intelligent transportation systems (ITS), the vehicular ad-hoc network (VANET) is an
enabling technology that can provide information exchange services among connected and …
enabling technology that can provide information exchange services among connected and …
Smart mobility with Big Data: approaches, applications, and challenges
Many vehicles are connected to the Internet, and big data are continually created. Various
studies have been conducted involving the development of artificial intelligence, machine …
studies have been conducted involving the development of artificial intelligence, machine …
Vehicular fog computing: Enabling real-time traffic management for smart cities
Fog computing extends the facility of cloud computing from the center to edge networks.
Although fog computing has the advantages of location awareness and low latency, the …
Although fog computing has the advantages of location awareness and low latency, the …
Vehicular task offloading via heat-aware MEC cooperation using game-theoretic method
Mobile-edge computing (MEC) has been witnessed as a promising solution for the vehicular
task offloading. Due to the limited computing resource of individual MEC servers, it faces …
task offloading. Due to the limited computing resource of individual MEC servers, it faces …
Edge intelligence-driven joint offloading and resource allocation for future 6G industrial Internet of Things
The 6G will undergo an unprecedented transformation to revolutionize the wireless system
evolution from connected things to connected intelligence. Additionally, data scattered …
evolution from connected things to connected intelligence. Additionally, data scattered …
Resource optimization for delay-tolerant data in blockchain-enabled IoT with edge computing: A deep reinforcement learning approach
Recently, the development of the Internet of Things (IoT) provides plenty of opportunities and
challenges in various fields. As an essential part of IoT, machine-to-machine (M2M) …
challenges in various fields. As an essential part of IoT, machine-to-machine (M2M) …
Capacity of cooperative vehicular networks with infrastructure support: Multiuser case
Capacity of vehicular networks with infrastructure support is both an interesting and
challenging problem as the capacity is determined by the interplay of multiple factors …
challenging problem as the capacity is determined by the interplay of multiple factors …
Delay-tolerant data traffic to software-defined vehicular networks with mobile edge computing in smart city
With the explosion in the number of connected devices and Internet of Things (IoT) services
in smart city, the challenges to meet the demands from both data traffic delivery and …
in smart city, the challenges to meet the demands from both data traffic delivery and …
Data offloading techniques through vehicular ad hoc networks: A survey
Recently, for satisfying users' various mobile Internet service requests for data exchange
anytime and anywhere even in their moving vehicles, the generated mobile data traffic has …
anytime and anywhere even in their moving vehicles, the generated mobile data traffic has …
Decentralized computation offloading in IoT fog computing system with energy harvesting: A Dec-POMDP approach
Recently, fog computing has emerged as a prospective technique to provide pervasive and
agile computation services for Internet-of-Things (IoT) devices and support advanced …
agile computation services for Internet-of-Things (IoT) devices and support advanced …