Participant privacy in mobile crowd sensing task management: A survey of methods and challenges
Mobile crowd sensing enables a broad range of novel applications by leveraging mobile
devices and smartphone users worldwide. While this paradigm is immensely useful, it …
devices and smartphone users worldwide. While this paradigm is immensely useful, it …
Spatial task assignment for crowd sensing with cloaked locations
Distributed mobile crowd sensing is becoming a valuable paradigm, enabling a variety of
novel applications built on mobile networks and smart devices. However, this trend brings …
novel applications built on mobile networks and smart devices. However, this trend brings …
QoI-aware multitask-oriented dynamic participant selection with budget constraints
By using increasingly popular smartphones, participatory sensing systems can collect
comprehensive sensory data to retrieve context-aware information for different applications …
comprehensive sensory data to retrieve context-aware information for different applications …
Internet of Things for Green Building Management: A Survey
The expansion and development of advanced technology by mankind have a great
substantial impact on the natural environment. The buildings consume a large number of …
substantial impact on the natural environment. The buildings consume a large number of …
Energy-aware participant selection for smartphone-enabled mobile crowd sensing
Mobile crowd sensing systems have been widely used in various domains but are currently
facing new challenges. On one hand, the increasingly complex services need a large …
facing new challenges. On one hand, the increasingly complex services need a large …
Worker-contributed data utility measurement for visual crowdsensing systems
Visual crowdsensing is successfully applied in numerous application areas, yet little work
has been done on measuring and improving the quality of worker contributed visual data …
has been done on measuring and improving the quality of worker contributed visual data …
A joint indoor WLAN localization and outlier detection scheme using LASSO and elastic-net optimization techniques
In this paper, we introduce two indoor Wireless Local Area Network (WLAN) positioning
methods using augmented sparse recovery algorithms. These schemes render a sparse …
methods using augmented sparse recovery algorithms. These schemes render a sparse …
Energy-aware and quality-driven sensor management for green mobile crowd sensing
Abstract Mobile Crowd Sensing (MCS) is a novel class of Internet of Things applications
which exploits the inherent mobility of wearable sensors and mobile devices to observe …
which exploits the inherent mobility of wearable sensors and mobile devices to observe …
A blockchain based architecture for the detection of fake sensing in mobile crowdsensing
With the emergence of mobile crowdsensing (MCS), we now have the possibility of
leveraging the sensing capabilities of mobile devices to collect information and intelligence …
leveraging the sensing capabilities of mobile devices to collect information and intelligence …
Privacy-preserving QoI-aware participant coordination for mobile crowdsourcing
Mobile crowdsourcing systems are important sources of information for the Internet of Things
(IoT) such as gathering location related sensing data for various applications by employing …
(IoT) such as gathering location related sensing data for various applications by employing …