Integrating the various embedded devices and systems in our environment enables an
Internet of Things (IoT) for a smart city. The IoT will generate tremendous amount of data that …

Abstract The Orienteering Problem (OP) has received a lot of attention in the past few
decades. The OP is a routing problem in which the goal is to determine a subset of nodes to …

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 …

Crowdsourcing relies on the contributions of a large number of workers to accomplish
spatial tasks, and it has drawn more attention in recent years. Many crowdsourcing tasks are …

With the proliferation of GPS-enabled smart devices and increased availability of wireless
network, spatial crowdsourcing (SC) has been recently proposed as a framework to …

Spatial crowdsourcing has emerged as a new paradigm for solving problems in the physical
world with the help of human workers. A major challenge in spatial crowdsourcing is to …

Crowdship** has recently emerged as a sustainable option for urban parcel delivery,
where transport tasks are carried out by regular citizens who are engaged in a passenger …

While mobile crowd-sourcing has become a game-changer for many urban operations, such
as last mile logistics and municipal monitoring, we believe that the design of such crowd …

Federated crowdsourcing, as a dynamic privacy-preserving distributed machine learning
approach, has attracted significant research attention recently. Compared to federated …

With the increasing prominence of smart mobile devices, an innovative distributed
computing paradigm, namely Mobile Crowdsourcing (MCS), has emerged. By directly …