Results 41 to 50 of about 168,484 (241)
Using vision-based object detection for link quality prediction in 5.6-GHz channel
EURASIP Journal on Wireless Communications and Networking, 2020 Various smart connected devices are emerging like automated driving cars, autonomous robots, and remote-controlled construction vehicles. These devices have vision systems to conduct their operations without collision.
Riichi Kudo +3 more
doaj +1 more source
Hybrid Neural Network-Based Fading Channel Prediction for Link Adaptation
IEEE Access, 2021 We propose an artificial intelligence-based channel prediction scheme that can potentially facilitate link adaptation in customized communication systems.
Chahyeon Eom, Chungyong Lee
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Link Prediction on Directed Networks Based on AUC Optimization
IEEE Access, 2018 Complex networks have become high-dimensional, sparse, and redundant due to the rapid expansion of the Internet. Effective link prediction techniques are needed to obtain the most relevant and important information for Internet users.
Bolun Chen, Yong Hua, Yan Yuan, Ying Jin
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Evaluating Link Lifetime Prediction to Support Computational Offloading Decision in VANETs
Sensors, 2022 In urban mobility, Vehicular Ad Hoc Networks (VANETs) provide a variety of intelligent applications. By enhancing automobile traffic management, these technologies enable advancements in safety and help decrease the frequency of accidents.
Paulo Rocha +7 more
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International Journal of Distributed Sensor Networks, 2015 A core factor to consider when designing wireless sensor networks is the reliable and efficient transmission of massive data from source to destination.
Yuxin Zhao, Shenghong Li, Jia Hou
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A novel link quality prediction algorithm for wireless sensor networks
Computer Science and Information Systems, 2017 Ahead knowledge of link quality can reduce the energy consumption of wireless sensor networks. In this paper, we propose a cloud reasoning-based link quality prediction algorithm for wireless sensor networks. A large number of link quality samples are collected from different scenarios, and their RSSI, LQI, SNR and PRR parameters are classified by a ...
Chenhao Jia +3 more
openaire +2 more sources
Deep belief network-based link quality prediction for wireless sensor network
Tongxin xuebao, 2017 After analyzing the existing link quality prediction models,a link quality prediction model for wireless sensor network was proposed,which was based on deep belief network.Support vector classification was employed to estimate link quality,so as to get ...
Lin-lan LIU +3 more
doaj +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
TPLE: A Reliable Data Delivery Scheme for On-Road WSN Traffic Monitoring
Sensors, 2016 In an on-road environment, motor-engines severely disturb the wireless link of a sensor node, leading to high package loss rate, high delivery delay, and poor radio communication quality.
Rui Wang, Fei Chang, Suli Ren
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Study and Prediction of Wireless Link Quality for Adaptive Channel Hopping
Journal of Networks, 2012 The nature of packet loss of wireless links at 2.4G band was analyzed and a wireless link quality prediction algorithm for wireless sensor networks was proposed. In the proposal, RSSI (Received Signal Strength Indicator) and LQI (Link Quality Indicator) were utilized to produce a couple of metrics of wireless link quality, named S m and delta ...
Jindong Zhao +4 more
openaire +1 more source