| Information and communications technologies (ICT) have a very significant role to play in addressing climate change globally and facilitating low carbon development. The role of ICT includes not only the emission reduction and energy savings in ICT products and services, but also enabling low carbon emissions in other industries, such as electric power smart grids. This thesis studies stochastic schemes in green wireless cellular networks, mobile ad-hoc networks (MANETs) and smart grids to make them more efficient, effective, and reliable. We present a distributed scheme combining continuous user authentication and intrusion detection in high security green MANETs, taking security posture and energy efficiency into account. A structural results method is proposed to lower the computational complexity of this scheme. Moreover, in smart grids, highly intermittent renewable energy sources and stochastic power demand loads make the balance question complicated to solve. We propose a distributed stochastic unit commitment scheduling scheme and a novel game-theoretical decision-making scheme for electricity retailers in smart grids. Partially observable Markov decision process (POMDP) multi-armed bandit models are used to analyze and solve the above decision problems under environmental uncertainties. Finally, we consider not only energy-efficient communications but also the dynamics of smart grids in operating green wireless cellular networks powered by smart grids, which is modeled as a Stackelberg game. Simulation results are presented to show the effectiveness of the proposed schemes. |
