In recent years, the advent of electronic commerce has led to the creation of many new and interesting business models for Internet-based selling. In this paper, we will explore a variant of the typical dynamic pricing mechanism, in which buyers and sellers actively engage in the price discovery process, that emphasizes the power of group buying. Dynamic pricing approaches are used by many well...

Proper pricing schemes are vital components to the continuing success of the Internet. In this paper, we propose a new pricing scheme for Internet access called user-influenced pricing. Our main contribution is threefold: first, we show how user-influenced pricing can provide the ISP with calculable revenues, while giving the users a chance to lower their costs via voting for their preferred pr...

My primary research interest concerns product pricing with market power. In some cases my research is motivated by observing perplexing pricing patterns and asking what about the environment, the objectives of sellers, or biases of customers can lead to such pricing? In other cases my motivation is reversed: I am intrigued by an interesting environment or regulatory intervention and ask what ar...

Based on the non-cooperative power control game theory, we propose an efficient and unbiased power control algorithm in cognitive radio network (CRN) by improving the utility function. Without causing interference to the primary users (PUs), this effective utility function balances the fairness and system throughput of secondary users (SUs) via a fair pricing function. The pricing punishment pa...

© 2013 Zhuang Zhao et al. 677 In this paper, we first introduce a general architecture of an energy management system in a home area network based on a smart grid. Then, we propose an efficient scheduling method for home power usage. The home gateway (HG) receives the demand response (DR) information indicating the real-time electricity price, which is transferred to an energy management contro...

An optimization methodology for the combination of several green technologies is introduced in this paper. These are smart meters, smart appliances, solar power systems and time-of-use (TOU) pricing. These technologies are collectively and widely utilized in the recent smart grid, which is rolling out all over the world to facilitate greener power generation and distribution. Adaptive particle ...

We formulate optimization problems to study how data centers might modulate their power demands for cost-effective operation taking into account three key complex features exhibited by real-world electricity pricing schemes: (i) time-varying prices (e.g., time-of-day pricing, spot pricing, or higher energy prices during ”coincident” peaks) and (ii) separate charge for peak power consumption. Ou...

In the deregulated power system, transmission pricing has become a very important task because it is necessary to develop an efficient, feasible and reliable pricing scheme that can generate the useful economic signals to network users such as generating companies, transmission companies, distribution companies and customers. The objective of this paper is to compare transmission usage and cost...

—The renewable energy generating terminals (REGTs)not only have capability to generate electricity for them own usage but also have surplus electricity to sell to the Power Grid (PG). However, the REGTs are generally selfinterested. Due to the diversity in their supply capacity, REGT shave different preferences toward selling electricity, which is the private information and unknown to the PG....

This study proposes an incentive-based femtocell cooperation scheme for indoor macrocell users (MUs) in an underlay two-tier heterogeneous network which helps the indoor MUs to achieve higher data rate through time sharing access from the femtocell. Due to underlay spectrum sharing nature of the femtocell, the network suffers from severe cross-tier interference. To manage this cross-tier interf...