Wei Li

TL;DR: The theoretical analysis proves the convergence of a proposed algorithm and efficient convergence during the first and second steps of the algorithm to effectively prevent parking navigation from a gridlock situation and demonstrates that the proposed algorithm performs more efficiently than existing algorithms.

TL;DR: The use of reinforcement learning in sustainable energy and electric systems will certainly change the traditional energy utilization mode and bring more intelligence into the system, and future challenges and opportunities will be explicitly addressed.

TL;DR: A three-tier system architecture is proposed and mathematically characterize each tier in terms of energy consumption and latency so that the transmission latency and bandwidth burden caused by cloud computing can be effectively reduced.

TL;DR: It is argued that a middleware platform is required to manage heterogeneous WSNs and efficiently share their resources while satisfying user needs in the emergent scenarios of WoT.

TL;DR: An online algorithm, Lyapunov optimization on time and energy cost (LOTEC), based on the technique of Lyap unov optimization is described, which is able to make control decision on application offloading by adjusting the two-way tradeoff between average response time and average cost.