In this paper, we propose a decentralized crowdsensing framework for multiple requesters
with multiple workers built on Ethereum blockchain-SenseChain. Crowdsensing frameworks …

In this paper, a fully distributed auction-blockchain-based crowdsourcing framework is
proposed-ABCrowd. In a typical crowdsourcing framework, independent workers compete to …

Spatial Crowdsourcing (SC) is a novel platform that engages individuals in the act of
collecting various types of spatial data. This method of data collection can significantly …

Mobile/spatial crowdsourcing is a class of crowdsourcing applications in which workers
travel to specific locations in order to perform tasks. As workers may possess different levels …

Spatial crowdsourcing is an effective and novel method. In crowdsourcing systems, a
centralized platform is traditionally used to allocate tasks and select workers. Centralized …

Today mobile users learn and share their traffic observations via crowdsourcing platforms
(eg, Google Maps and Waze). Yet such platforms myopically recommend the currently …

Today mobile users learn and share their traffic observations via crowdsourcing platforms
(eg, Google Maps and Waze). Yet such platforms simply cater to selfish users' myopic …

The methodology, formulating a reasonable task assignment to find the most suitable
workers for a task and achieving the desired objectives, is the most fundamental challenge …

The varying nature of qualities and costs of the crowdworkers makes task allocation a non-
trivial problem in almost all crowdsourcing applications. If crowdworkers are strategic about …

We model crowdsensing as the selection of sensors with unknown variance to monitor a
large linear dynamical system. To achieve low estimation error, we propose a Thompson …