Abstract
Ensuring flexible and reliable data routing is indispensable for the integration of Advanced Metering Infrastructure (AMI) networks, we propose a secure-oriented and load-balancing wireless data routing scheme. A novel utility function is designed based on security routing scheme. Then, we model the interactive security-oriented routing strategy among meter data concentrators or smart grid meters as a mixed-strategy network formation game. Finally, such problem results in a stable probabilistic routing scheme with proposed distributed learning algorithm. One contributions is that we studied that different types of applications affect the routing selection strategy and the strategy tendency. Another contributions is that the chosen strategy of our mixed routing can adaptively to converge to a new mixed strategy Nash equilibrium (MSNE) during the learning process in the smart grid.
Original language | American English |
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Number of pages | 6 |
DOIs | |
State | Published - 2016 |
Event | 2016 North American Power Symposium (NAPS) - Denver, Colorado Duration: 18 Sep 2016 → 20 Sep 2016 |
Conference
Conference | 2016 North American Power Symposium (NAPS) |
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City | Denver, Colorado |
Period | 18/09/16 → 20/09/16 |
NREL Publication Number
- NREL/CP-5D00-67827
Keywords
- distributed learning algorithm
- network formation game
- routing game
- secure routing
- smart grid