[HTML][HTML] Game theory in mobile crowdsensing: A comprehensive survey
Mobile CrowdSensing (MCS) is an emerging paradigm in the distributed acquisition of smart
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …
Scalable mobile crowdsensing via peer-to-peer data sharing
Mobile crowdsensing (MCS) is a new paradigm of sensing by taking advantage of the rich
embedded sensors of mobile user devices. However, the traditional server-client MCS …
embedded sensors of mobile user devices. However, the traditional server-client MCS …
[HTML][HTML] Real-time human-in-the-loop simulation with mobile agents, chat bots, and crowd sensing for smart cities
Modelling and simulation of social interaction and networks are of high interest in multiple
disciplines and fields of application ranging from fundamental social sciences to smart city …
disciplines and fields of application ranging from fundamental social sciences to smart city …
A utility-based subcontract method for sensing task in mobile crowd sensing
Y Wu, Y Suo, F Yu, Y Liu - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
In mobile crowd sensing, the mobile terminal integrates a variety of widely distributed
sensing devices and communication ports. Sensing devices and communication ports can …
sensing devices and communication ports. Sensing devices and communication ports can …
Edge-based microservices architecture for Internet of Things: Mobility analysis case study
In this paper, we describe how the microservices paradigm can be used to design and
implement distributed edge services for Internet of Things applications. As a case study …
implement distributed edge services for Internet of Things applications. As a case study …
A data hiding approach for sensitive smartphone data
We develop and evaluate a data hiding method that enables smartphones to encrypt and
embed sensitive information into carrier streams of sensor data. Our evaluation considers …
embed sensitive information into carrier streams of sensor data. Our evaluation considers …
Energy efficient opportunistic edge computing for the internet of things
T Leppänen, J Riekki - Web Intelligence, 2019 - content.iospress.com
Edge computing in Internet of Things enhances application execution by retrieving cloud
resources to the close proximity of resource-constrained end devices at the edge and by …
resources to the close proximity of resource-constrained end devices at the edge and by …
Distributed artificial intelligence with multi-agent systems for MEC
T Leppanen - 2019 28th International Conference on Computer …, 2019 - ieeexplore.ieee.org
In this paper, the Multi-access Edge Computing (MEC) system architecture, as defined by
the ETSI standards, is modeled as a multi-agent system. MEC system management services …
the ETSI standards, is modeled as a multi-agent system. MEC system management services …
Augmented virtual reality: Combining crowd sensing and social data mining with large-scale simulation using mobile agents for future smart cities
Augmented reality is well known for extending the real world by adding computer-generated
perceptual information and overlaid sensory information. In contrast, simulation worlds are …
perceptual information and overlaid sensory information. In contrast, simulation worlds are …
Developing agent-based smart objects for IoT edge computing: mobile crowdsensing use case
Software agents have been exploited to handle the inherent dynamicity in the Internet of
Things (IoT) systems, as agents are capable of autonomous, reactive and proactive …
Things (IoT) systems, as agents are capable of autonomous, reactive and proactive …