A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Visual perception enabled industry intelligence: state of the art, challenges and prospects
Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …
information in environmental awareness and understanding. With the rapid progress of …
Privacy preservation in blockchain based IoT systems: Integration issues, prospects, challenges, and future research directions
Abstract Modern Internet of Things (IoT) systems are paving their path for a revolutionized
world in which majority of our objects of everyday use will be interconnected. These objects …
world in which majority of our objects of everyday use will be interconnected. These objects …
Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach
Z Chen, X Ming, T Zhou, Y Chang - Applied Soft Computing, 2020 - Elsevier
This study proposes a novel framework to identify smart-sustainable SCMP (supply chain
management practices) as supplier selection criteria for a smart supply chain. Supplier …
management practices) as supplier selection criteria for a smart supply chain. Supplier …
Spatio-temporal analysis and prediction of cellular traffic in metropolis
Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial
and valuable to mobile users, wireless carriers, and city authorities. Predicting cellular traffic …
and valuable to mobile users, wireless carriers, and city authorities. Predicting cellular traffic …
Task allocation in spatial crowdsourcing: Current state and future directions
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 …
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …
Crowdsourcing and sensing for indoor localization in IoT: A review
Among the emerging concepts in the context of IoT, crowdsourcing, and crowdsensing are
known as two critical building blocks on the intersection point of things and human-based …
known as two critical building blocks on the intersection point of things and human-based …
A blockchain-enabled trustless crowd-intelligence ecosystem on mobile edge computing
J Xu, S Wang, BK Bhargava… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Crowd intelligence tries to gather, process, infer, and ascertain massive useful information
by utilizing the intelligence of crowds or distributed computers, which has great potential in …
by utilizing the intelligence of crowds or distributed computers, which has great potential in …
Citizens' readiness to crowdsource smart city services: A developing country perspective
The paper studies the citizens' readiness for implementation of crowdsourcing services of a
smart city. The main goal is to develop a methodological approach that would enable the …
smart city. The main goal is to develop a methodological approach that would enable the …