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Green resource allocation based on deep reinforcement learning in content-centric IoT
In the era of information, the green services of content-centric IoT are expected to offer users
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …
[HTML][HTML] CPS-based smart warehouse for industry 4.0: A survey of the underlying technologies
This paper discusses how the state-of-the-art techniques in cyber-physical systems facilitate
building smart warehouses to achieve the promising vision of industry 4.0. We focus on four …
building smart warehouses to achieve the promising vision of industry 4.0. We focus on four …
TMED: A spider-Web-like transmission mechanism for emergency data in vehicular ad hoc networks
The vehicular ad hoc network (VANET) is an emerging mobile ad hoc network, which is an
important component of the Internet of Things and has been widely applied in intelligent …
important component of the Internet of Things and has been widely applied in intelligent …
Accurate recovery of internet traffic data: A sequential tensor completion approach
K ** posture recognition with an unobtrusive passive tag matrix
Sleep monitoring plays an important role in many medical applications, including SIDS
prevention, care of patients with pressure ulcers, and assistance to patients with sleep …
prevention, care of patients with pressure ulcers, and assistance to patients with sleep …
Nowhere to hide: Efficiently identifying probabilistic cloning attacks in large-scale RFID systems
Radio-Frequency Identification (RFID) is an emerging technology which has been widely
applied in various scenarios, such as tracking, object monitoring, and social networks, etc …
applied in various scenarios, such as tracking, object monitoring, and social networks, etc …
A partitioning approach to RFID identification
Radio-frequency identification (RFID) is a major enabler of Internet of Things (IoT), and has
been widely applied in tag-intensive environments. Tag collision arbitration is considered as …
been widely applied in tag-intensive environments. Tag collision arbitration is considered as …
Accurate recovery of internet traffic data: A tensor completion approach
The inference of traffic volume of the whole network from partial traffic measurements
becomes increasingly critical for various network engineering tasks, such as traffic …
becomes increasingly critical for various network engineering tasks, such as traffic …
An energy-aware offloading framework for edge-augmented mobile RFID systems
Internet of Things (IoT) have been widely used in many fields including smart city, industry
Internet and automatic driving. Because IoT end devices usually have only limited capability …
Internet and automatic driving. Because IoT end devices usually have only limited capability …
Efficient range queries for large-scale sensor-augmented RFID systems
This paper studies the practically important problem of range query for sensor-augmented
RFID systems, which is to classify the target tags according to the ranges specified by the …
RFID systems, which is to classify the target tags according to the ranges specified by the …