How does the Selection of Wireless Technology Impact the Performance of the Smart Grid? A Simulation Approach

Author:

Astudillo León Juan Pablo1,Dueñas Santos Carlos Lester2,Mezher Ahmad Mohamad2,Cárdenas Barrera Julián2,Meng Julian2,Castillo Guerra Eduardo2

Affiliation:

1. University of New Brunswick & Universidad ECOTEC, Samborondon, Ecuador

2. University of New Brunswick, Fredericton, Canada

Funder

Atlantic Canada Opportunities Agency

Publisher

ACM

Reference58 articles.

1. Communication Technologies for Smart Grid: A Comprehensive Survey

2. Yun Ai , Michael Cheffena , and Qihao Li . 2015 . Power delay profile analysis and modeling of industrial indoor channels . In 2015 9th European Conference on Antennas and Propagation (EuCAP). IEEE, 1--5. Yun Ai, Michael Cheffena, and Qihao Li. 2015. Power delay profile analysis and modeling of industrial indoor channels. In 2015 9th European Conference on Antennas and Propagation (EuCAP). IEEE, 1--5.

3. Yun Ai , Michael Cheffena , and Qihao Li . 2015 . Radio frequency measurements and capacity analysis for industrial indoor environments . In 2015 9th European Conference on Antennas and Propagation (EuCAP). IEEE, 1--5. Yun Ai, Michael Cheffena, and Qihao Li. 2015. Radio frequency measurements and capacity analysis for industrial indoor environments. In 2015 9th European Conference on Antennas and Propagation (EuCAP). IEEE, 1--5.

4. Kirill Andreev and Pavel Boyko . 2010 . IEEE 802.11 s mesh networking NS-3 model . In Workshop on ns3 , Vol. 43 . Kirill Andreev and Pavel Boyko. 2010. IEEE 802.11 s mesh networking NS-3 model. In Workshop on ns3, Vol. 43.

5. Towards a Distributed Congestion Control mechanism for Smart Grid Neighborhood Area Networks

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