Abstract: A Stackelberg game approach is used to describe a Demand-Response (DR) model for electricity trading between one utility company and multiple users, balancing supply and demand as well as smoothing an aggregated load in the power grid system. The interactions between the utility company and users are formulated into a 1-leader and N-follower Stackelberg game, where optimization problems are formed for each player to help select an optimal strategy. A pricing function is adopted for regulating real-time prices (RTP), and acts as a coordinator inducing users to join the game. An iterative algorithm is proposed to derive a Stackelberg equilibrium, through which optimal power generation and power demands are determined for the utility company and users, respectively.

Abstract: Provided is an apparatus and method for allocating time slots to nodes without contention in a wireless network. The method for allotting time slots includes: receiveing a packet length and maximum allowable latencies of the nodes and converting them into data in symbol units; determining a beacon order so that a beacon interval representing a length of a superframe is smaller than or equal to a minimum value of the converted maximum allowable latencies; determining a superframe order so that the sum of a length of a beacon frame, a length of a contention access period, and a length of contention free period is smaller than a length of an active portion, based on the converted packet length; and allocating a guaranteed time slot without contention to each node according to an allocation priority order for the nodes.