Most of the research on the incentive mechanism design in crowdsourcing has focused on how to allocate sensing tasks to participants to maximize the social welfare. However, none of them consider the coverage holes created by the uneven distribution of participants. As a result, most of the participants in some popular areas compete for tasks, while many tasks in unpopular areas cannot be completed due to the lack of participants. In this paper, we design a movement-based incentive mechanism for crowdsourcing, where participants are stimulated to move to the unpopular areas and complete the sensing tasks in these areas, which benefits both participants and the platform. We formulate a task allocation problem considering controlled mobility....
Incentive is key to the success of crowd sourcing which heavily depends on the level of user partici...
We investigate emerging mobile crowd sensing (MCS) systems, in which new cloud-based platforms seque...
We study the optimal design of mobile crowdsensing campaigns in terms of the aggregate quality of co...
Due to the randomness of participants’ movement and the selfishness and dishonesty of individuals in...
In a mobile crowdsourcing system, the platform utilizes ubiquitous smartphones to perform sensing ta...
International audienceSpatial crowdsourcing is an activity consisting in outsourcing spatial tasks t...
The aim of this paper is to explore factors driving and affecting motivation of workers for particip...
Piggyback crowdsensing (PCS) is a novel energy- efficient mobile crowdsensing paradigm that reduces ...
Mobile Crowdsourcing (MCS) is a novel distributed computing paradigm that recruits skilled workers t...
In the age of the development of artificial intelligence, we face the challenge on how to obtain hig...
With the recent trend in crowdsourcing, i.e., using the power of crowds to assist in satisfying dema...
Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensin...
With the emergence of new technologies, mobile devices are capable of undertaking computational and ...
International audienceWe investigate how to leverage the notion of motivation in assigning tasks to ...
Abstract—Mobile crowdsourced sensing (MCS) is a new paradigm which takes advantage of the pervasive ...
Incentive is key to the success of crowd sourcing which heavily depends on the level of user partici...
We investigate emerging mobile crowd sensing (MCS) systems, in which new cloud-based platforms seque...
We study the optimal design of mobile crowdsensing campaigns in terms of the aggregate quality of co...
Due to the randomness of participants’ movement and the selfishness and dishonesty of individuals in...
In a mobile crowdsourcing system, the platform utilizes ubiquitous smartphones to perform sensing ta...
International audienceSpatial crowdsourcing is an activity consisting in outsourcing spatial tasks t...
The aim of this paper is to explore factors driving and affecting motivation of workers for particip...
Piggyback crowdsensing (PCS) is a novel energy- efficient mobile crowdsensing paradigm that reduces ...
Mobile Crowdsourcing (MCS) is a novel distributed computing paradigm that recruits skilled workers t...
In the age of the development of artificial intelligence, we face the challenge on how to obtain hig...
With the recent trend in crowdsourcing, i.e., using the power of crowds to assist in satisfying dema...
Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensin...
With the emergence of new technologies, mobile devices are capable of undertaking computational and ...
International audienceWe investigate how to leverage the notion of motivation in assigning tasks to ...
Abstract—Mobile crowdsourced sensing (MCS) is a new paradigm which takes advantage of the pervasive ...
Incentive is key to the success of crowd sourcing which heavily depends on the level of user partici...
We investigate emerging mobile crowd sensing (MCS) systems, in which new cloud-based platforms seque...
We study the optimal design of mobile crowdsensing campaigns in terms of the aggregate quality of co...