With the continuous improvement of the sensing, transmission, storage, and computing
capabilities of mobile devices, they have become important tools for perceiving the physical …

In this paper, we consider task offloading in edge computing systems, where tasks are
offloaded by the base station to resourceful mobile users. With the consideration of unique …

In the operational context of a cross-device federated learning (FL), the efficient allocation of
resources, such as transmission powers, channels, and computation resources, significantly …

In this chapter, we use crowdsensing as the case study to show how we can design a linear
online incentive mechanism design to address the potential random task arrivals. We focus …

In Chap. 3, a nonlinear online incentive mechanism for task offloading under Internet of
Things (IoT) scenario was introduced. while the I ̲ntegrate R ̲ounding S ̲cheme based M …

In this chapter, we begin with the introduction of a history overview to online incentive
mechanisms, and proceed to highlight the necessity of using online incentive mechanisms …

Nowadays, the proliferation of terminals, Internet-of-Thing (IoT) devices and mobile devices,
happens in an unprecedented rate. By 2018, staggering figures highlighted this world …