Correlation-aware machine selection for M2M data gathering in cellular networks

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) ◽

10.1109/pimrc.2015.7343478 ◽

2015 ◽

Author(s):

Hojin Song ◽

Hung-Yun Hsieh ◽

Yun-Da Tsai ◽

Wan Choi

Keyword(s):

Cellular Networks ◽

Data Gathering ◽

Machine Selection ◽

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Dynamic Swarm Based Virtual Machine Selection for Optimizing Execution Time and Fault Tolerance Rate

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.11361147 ◽

2019 ◽

Vol 7 (5) ◽

pp. 1136-1147

Author(s):

Manjot Kaur ◽

Kamaljit Kaur

Keyword(s):

Fault Tolerance ◽

Virtual Machine ◽

Execution Time ◽

Machine Selection ◽

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Analytical Modeling of Mode Selection for UE-To-Network Relay Enabled Cellular Networks with Power Control

2018 IEEE International Conference on Communications Workshops (ICC Workshops) ◽

10.1109/iccw.2018.8403501 ◽

2018 ◽

Author(s):

Jinghui Wang ◽

Xiaodong Xu ◽

Xiaoxuan Tang ◽

Shiqing Zhang ◽

Xiaofeng Tao

Keyword(s):

Power Control ◽

Cellular Networks ◽

Analytical Modeling ◽

Mode Selection ◽

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On the transmission mode selection for substation automation traffic in cellular networks

2017 IEEE International Conference on Smart Grid Communications (SmartGridComm) ◽

10.1109/smartgridcomm.2017.8340704 ◽

2017 ◽

Author(s):

Charalampos Kalalas ◽

Jesus Alonso-Zarate ◽

Gargi Bag

Keyword(s):

Cellular Networks ◽

Mode Selection ◽

Transmission Mode ◽

Selection For ◽

Substation Automation

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TBM Selection for tunneling beneath urbanized areas at shallow depth. A practical case: The machine selection for the excavation of Metro Gran Paris Line 15 Section 2C

Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art ◽

10.1201/9781003031857-25 ◽

2020 ◽

pp. 5469-5477

Author(s):

M. Concilia

Keyword(s):

Shallow Depth ◽

Practical Case ◽

Machine Selection ◽

Urbanized Areas ◽

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TBM Selection for tunneling beneath urbanized areas at shallow depth. A practical case: The machine selection for the excavation of Metro Gran Paris Line 15 Section 2C

Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art ◽

10.4324/9781003031857-25 ◽

2020 ◽

pp. 5469-5477

Author(s):

M. Concilia

Keyword(s):

Shallow Depth ◽

Practical Case ◽

Machine Selection ◽

Urbanized Areas ◽

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Energy Efficient Data Gathering Technique Based on Optimal Mobile Sink Node Selection for Improved Network Life Time in Wireless Sensor Network (WSN)

Wireless Personal Communications ◽

10.1007/s11277-020-07309-y ◽

2020 ◽

Vol 113 (4) ◽

pp. 2107-2126

Author(s):

R. Ashween ◽

B. Ramakrishnan ◽

M. Milton Joe

Keyword(s):

Wireless Sensor Network ◽

Energy Efficient ◽

Data Gathering ◽

Life Time ◽

Mobile Sink ◽

Wireless Sensor ◽

Sink Node ◽

Efficient Data ◽

Network Life Time ◽

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Decision support system for multicriteria machine selection for flexible manufacturing systems

Computers in Industry ◽

10.1016/0166-3615(94)90044-2 ◽

1994 ◽

Vol 25 (2) ◽

pp. 131-143 ◽

Author(s):

Mario T. Tabucanon ◽

Dentcho N. Batanov ◽

Devendra K. Verma

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Flexible Manufacturing ◽

Flexible Manufacturing Systems ◽

Manufacturing Systems ◽

Machine Selection ◽

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Mode Selection for Mobile Opportunistic Multi-Hop Cellular Networks

2014 IEEE 79th Vehicular Technology Conference (VTC Spring) ◽

10.1109/vtcspring.2014.7022988 ◽

2014 ◽

Author(s):

M. C. Lucas-Estan ◽

J. Gozalvez ◽

B. Coll-Perales

Keyword(s):

Cellular Networks ◽

Mode Selection ◽

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Multiple Beam Selection for Combing M2M Communication Networks and Cellular Networks with Limited Feedback

International Journal of Distributed Sensor Networks ◽

10.1155/2013/540849 ◽

2013 ◽

Vol 9 (12) ◽

pp. 540849

Author(s):

Xiaoning Zhang ◽

Lin Bai ◽

Wenyang Guan

Keyword(s):

Cellular Networks ◽

Communication Networks ◽

Limited Feedback ◽

M2m Communication ◽

Multiple Beam ◽

Beam Selection ◽

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Layered Attractor Selection for Clustering and Data Gathering in Wireless Sensor Networks

2010 IEEE Wireless Communication and Networking Conference ◽

10.1109/wcnc.2010.5506189 ◽

2010 ◽

Author(s):

Ehssan Sakhaee ◽

Kenji Leibnitz ◽

Naoki Wakamiya ◽

Masayuki Murata

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Gathering ◽

Wireless Sensor ◽

Selection For ◽

Attractor Selection

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