The emergence of the Internet of things and the widespread deployment of diverse
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …

Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …

Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …

Mobile crowdsensing, a new paradigm, has drawn much attention from the online
community, in which mobile users are connected by using smartphones with sharing of …

Since first coined by Google in 2012, knowledge graph has received extensive attention
from both industry and academia, and has been widely used in many scenarios with …

Existing studies on task recommendation in crowdsourcing systems provide additional
insights into the field from their perspectives, methodologies, frameworks, and disciplines …

Mobile crowdsensing (MCS) has been a promising paradigm for gathering sensing data
from surrounding environment by leveraging smart devices carried by mobile users and also …

With the increasing complexity of tasks that are crowdsourced, requesters need to form
teams of professional workers that can satisfy complex task skill requirements. Team …

Mobile crowdsourcing (MCS) endeavors to attain reliable truth by recruiting large numbers
of users with handheld mobile devices to collect the data. However, during the early stages …

In recent years, mobile crowdsensing has emerged as a key technology for digital city
construction, which acquires sensing data and mining data values with low cost and high …