Performance Evaluation of Dynamic HUB Selection Algorithm for WBAN

2018 6th International Conference on Control Engineering & Information Technology (CEIT) ◽

10.1109/ceit.2018.8751776 ◽

2018 ◽

Author(s):

Murtaza CICIOGLU ◽

Ali CALHAN

Keyword(s):

Performance Evaluation ◽

Selection Algorithm

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Performance evaluation of a probabilistic replica selection algorithm

Proceedings of the Seventh IEEE International Workshop on Object-Oriented Real-Time Dependable Systems (WORDS 2002) WORDS-02 ◽

10.1109/words.2002.1000044 ◽

2003 ◽

Cited By ~ 6

Author(s):

S. Krishnamurthy ◽

W.H. Sanders ◽

M. Cukier

Keyword(s):

Performance Evaluation ◽

Selection Algorithm ◽

Replica Selection

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Hardware Implementation of Proposed Antenna Selection Algorithm and Its Performance Evaluation Using Received Signals in Field Experiment

2012 IEEE Vehicular Technology Conference (VTC Fall) ◽

10.1109/vtcfall.2012.6398950 ◽

2012 ◽

Cited By ~ 2

Author(s):

Kazuhiko Mitsuyama ◽

Tetsuomi Ikeda ◽

Tomoaki Ohtsuki

Keyword(s):

Performance Evaluation ◽

Field Experiment ◽

Hardware Implementation ◽

Antenna Selection ◽

Selection Algorithm

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Building performance evaluation through a novel feature selection algorithm for automated arx model identification procedures

Energy and Buildings ◽

10.1016/j.enbuild.2017.06.009 ◽

2017 ◽

Vol 150 ◽

pp. 432-446 ◽

Cited By ~ 4

Author(s):

Daniele Antonucci ◽

Ulrich Filippi Oberegger ◽

Wilmer Pasut ◽

Andrea Gasparella

Keyword(s):

Feature Selection ◽

Performance Evaluation ◽

Model Identification ◽

Building Performance ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Arx Model ◽

Identification Procedures

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Performance Evaluation of a Fuzzy Entropy based Feature Selection Algorithm

International Journal of Engineering Trends and Technology ◽

10.14445/22315381/ijett-v38p208 ◽

2016 ◽

Vol 38 (1) ◽

pp. 38-43

Author(s):

Bacharaju Vishnu Swathi ◽

Keyword(s):

Feature Selection ◽

Performance Evaluation ◽

Fuzzy Entropy ◽

Selection Algorithm ◽

Feature Selection Algorithm

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Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices and Its Application to Wireless Sensor Network for Building Monitoring System

2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) ◽

10.1109/icaiic48513.2020.9065211 ◽

2020 ◽

Author(s):

So Hasegawa ◽

Ryoma Kitagawa ◽

Takumi Ito ◽

Takashi Nakajima ◽

Song-Ju Kim ◽

...

Keyword(s):

Machine Learning ◽

Performance Evaluation ◽

Wireless Sensor Network ◽

Sensor Network ◽

Monitoring System ◽

Channel Selection ◽

Wireless Sensor ◽

Selection Algorithm ◽

Building Monitoring ◽

Sensor Devices

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Performance Evaluation of Adaptive Context Aware Rate Selection Algorithm (ACARS) for Road Safety Applications in Vehicular Network

2013 European Modelling Symposium ◽

10.1109/ems.2013.107 ◽

2013 ◽

Author(s):

Kenneth S. Nwizege ◽

Jianhua He ◽

Kyeong Soo Kim ◽

Petar Igic

Keyword(s):

Performance Evaluation ◽

Road Safety ◽

Vehicular Network ◽

Context Aware ◽

Selection Algorithm ◽

Rate Selection ◽

Safety Applications

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Performance Evaluation of Machine Learning Based Channel Selection Algorithm Implemented on IoT Sensor Devices in Coexisting IoT Networks

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) ◽

10.1109/ccnc46108.2020.9045712 ◽

2020 ◽

Author(s):

So Hasegawa ◽

Song-Ju Kim ◽

Yozo Shoji ◽

Mikio Hasegawa

Keyword(s):

Machine Learning ◽

Performance Evaluation ◽

Channel Selection ◽

Selection Algorithm ◽

Sensor Devices

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Mode Selection of Content Delivery At Edge Nodes Based On Learning

10.21203/rs.3.rs-848230/v1 ◽

2021 ◽

Author(s):

Yanli Xu ◽

Hao Tang

Keyword(s):

Performance Evaluation ◽

Cellular Networks ◽

Mode Selection ◽

Content Delivery ◽

Delivery Mode ◽

Selection Algorithm ◽

Delivery Modes ◽

Efficient Delivery ◽

Content Popularity ◽

Selection Of

Abstract Pre-caching at edge nodes may improve resource efficiency for future content-centric cellular networks by bringing contents closer to users. However, which mode (muticast or unicast) should be selected for the efficient delivery of those cached contents is still not well addressed, especially at the situation that some key parameters such as content popularity and transmission environments are unknown. To solve this problem, the criterion of delivery mode selection is studied based on the learning policy of multi-armed bandit(MAB). According to the criterion, a mode selection algorithm is proposed. In this algorithm, edge nodes can choose the better delivery modes in the current slot only dependent on existing observations in the previous slot. Performance evaluation results validate our analyses and proposals on the mode selection.

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Performance evaluation of LIBTA/hybrid time-slot selection algorithm for cellular systems

International Journal of Communication Systems ◽

10.1002/dac.495 ◽

2001 ◽

Vol 14 (6) ◽

pp. 575-591 ◽

Cited By ~ 1

Author(s):

Jyh-Horng Wen ◽

Wen-Jiang Chen ◽

Shang-Yo Lin ◽

Kuo-Ting Huang

Keyword(s):

Performance Evaluation ◽

Time Slot ◽

Cellular Systems ◽

Selection Algorithm

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Fine Particle Mass Monitoring with Low-Cost Sensors: Corrections and Long-Term Performance Evaluation

10.1002/essoar.10500022.5 ◽

2019 ◽

Cited By ~ 1

Author(s):

Carl Malings ◽

Rebecca Tanzer ◽

Aliaksei Hauryliuk ◽

Provat K. Saha ◽

Allen L. Robinson ◽

...

Keyword(s):

Performance Evaluation ◽

Fine Particle ◽

Low Cost ◽

Particle Mass ◽

Long Term Performance ◽

Term Performance

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