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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

B

E. Medina, Meseguer, R., Ochoa, S. F., and Medina, H., “A Behaviour Awareness Mechanism to Support Collaborative Learning”, in Collaboration and Technology, vol. 9334, N. Baloian, Zorian, Y., Taslakian, P., and Shoukouryan, S., Eds. Springer International Publishing, 2015, pp. 95-110.

R. Meseguer, Ochoa, S. F., Pino, J. A., Medina, E., Navarro, L., Neyem, A., and Royo, D., “Building Real-World Ad-hoc Networks to Support Mobile Collaborative Applications: Lessons Learned”, in Groupware: design, implementation and use (CRIWG), 2009.

C

D. Vega, Medina, E., Meseguer, R., Royo, D., Freitag, F., Ochoa, S. F., and Pino, J. A., “Characterizing the effects of sharing hardware resources in mobile collaboration scenarios”, in Computer Supported Cooperative Work in Design (CSCWD), 2011, pp. 465 -472.

R. Meseguer, Ochoa, S. F., Pino, J. A., Navarro, L., and Neyem, A., “Communication and coordination patterns to support mobile collaboration”, in Computer Supported Cooperative Work in Design, Xi’an, China, 2008, pp. 565–570.

J. Rodriguez-Covili, Ochoa, S. F., Pino, J. A., Meseguer, R., Medina, E., and Royo, D., “A communication infrastructure to ease the development of mobile collaborative applications”, Journal of Network and Computer Applications, vol. 34, pp. 1883 - 1893, 2011.

Control and Optimization over Wireless Networks

R. Meseguer, Medina, E., Ochoa, S. F., Pino, J. A., Neyem, A., Navarro, L., and Royo, D., “Communication support for mobile collaborative work: An experimental study”, International Journal of Information Technology & Decision Making, vol. 11, pp. 1035-1063, 2012.

E. Dimogerontakis, Meseguer, R., Navarro, L., Ochoa, S. F., and Veiga, L., “Community Sharing of Spare Network Capacity”, in IEEE International Conference on Networking, Sensing and Control (ICNSC), Calabria, Italy, 2017.

D. Moreno, Ochoa, S. F., and Meseguer, R., “A Context-Aware Model to Provide Positioning in Disaster Relief Scenarios”, Sensors, vol. 15, no. 10, pp. 25176–25207, 2015.

E. Medina, López, D., Royo, D., Meseguer, R., and Ochoa, S. F., “CoSP: A Collaborative Sensing Platform for mobile applications”, in Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th International Conference on, 2015.

D

E. Dimogerontakis, Meseguer, R., Navarro, L., Ochoa, S. F., and Veiga, L., “Design Trade-offs of Crowdsourced Web Access in Community Networks”, in IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD), Wellington, New Zealand, 2017.

E

D. Vega, Meseguer, R., Freitag, F., and Ochoa, S. F., “Effort-based incentives for resource sharing in collaborative volunteer applications”, in Computer Supported Cooperative Work in Design (CSCWD), 2013 IEEE 17th International Conference on, 2013, pp. 37–42.

R. Meseguer, Molina, C., Ochoa, S. F., and Santos, R. M., “Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks”, Sensors, vol. 14, pp. 2619–2643, 2014.

F

R. M. Santos, Orozco, J., Mossé, D., Petrucci, V., Ochoa, S. F., and Meseguer, R., “Flying Real-Time Network for Disaster Assistance”, in Ubiquitous Computing and Ambient Intelligence (UCAmI), vol. 10586, Springer, 2017.

M. Micheletto, Petrucci, V., Santos, R. M., Orozco, J., Mossé, D., Ochoa, S. F., and Meseguer, R., “Flying Real-Time Network to Coordinate Disaster Relief Activities in Urban Areas”, Sensors, vol. 18, p. 1662, 2018.

G

D. Moreno, Ochoa, S. F., Santos, R. M., and Meseguer, R., “Geo-localized messages irradiation using smartphones: An energy consumption analysis”, in Computer Supported Cooperative Work in Design (CSCWD), 2013 IEEE 17th International Conference on, 2013, pp. 681–685.

H

J. Rodriguez-Covili, Ochoa, S. F., Pino, J. A., Meseguer, R., Medina, E., and Royo, D., “HLMP API: A software library to support the development of mobile collaborative applications”, in Computer Supported Cooperative Work in Design (CSCWD), Shanghai, China, 2010.

I

R. M. Santos, Orozco, J., Ochoa, S. F., and Meseguer, R., “The Internet of Things to Support Urban Incident Responses”, in Ubiquitous Computing and Ambient Intelligence (UCAmI), 2013.

R. M. Santos, Orozco, J., Ochoa, S. F., and Meseguer, R., “The Internet of Things to Support Urban Incident Responses”, in Ubiquitous Computing and Ambient Intelligence (UCAmI), 2013.

J. Mariano Finochietto, Micheletto, M., Eggly, G. M., Pueyo-Centelles, R., Santos, R., Ochoa, S. F., Meseguer, R., and Orozco, J., “An IoT-based infrastructure to enhance self-evacuations in natural hazardous events”, Personal and Ubiquitous Computing, pp. 1–18, 2021.

L

R. Pueyo-Centelles, Freitag, F., Meseguer, R., Navarro, L., Ochoa, S. F., and Santos, R. M., “A LoRa-Based Communication System for Coordinated Response in an Earthquake Aftermath”, Proceedings, vol. 31, no. 1, p. 73, 2019.

R. Pueyo-Centelles, Meseguer, R., Freitag, F., Navarro, L., Ochoa, S. F., and Santos, R. M., “LoRaMoto: A communication system to provide safety awareness among civilians after an earthquake”, Future Generation Computer Systems, vol. 115, pp. 150–170, 2021.

M

R. M. Santos, Orozco, J., Ochoa, S. F., Meseguer, R., and Eggly, G. M., “A MAC Protocol for Underwater Sensors Networks”, in Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information, vol. 9454, J. M. García-Chamizo, Fortino, G., and Ochoa, S. F., Eds. Springer International Publishing, 2015, pp. 394-406.

R. M. Santos, Orozco, J., Ochoa, S. F., Meseguer, R., and Eggly, G. M., “A MAC Protocol for Underwater Sensors Networks”, in Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information, vol. 9454, J. M. García-Chamizo, Fortino, G., and Ochoa, S. F., Eds. Springer International Publishing, 2015, pp. 394-406.

R. M. Santos, Orozco, J., Ochoa, S. F., Meseguer, R., Eggly, G. M., and Pistonesi, M. F., “A MAC Protocol to Support Monitoring of Underwater Spaces”, Sensors, vol. 16, no. 7, p. 984, 2016.

E. Medina, López, D., Meseguer, R., Ochoa, S. F., Royo, D., and Santos, R. M., “Mobile Autonomous Sensing Unit (MASU): A Framework That Supports Distributed Pervasive Data Sensing”, Sensors, vol. 16, no. 7, p. 1062, 2016.

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