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03/18/2022
Practical Issues and Challenges in CSI-based Integrated Sensing and Communication
Next-generation mobile communication network (i.e., 6G) has been envisio...
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07/02/2021
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
Mobile Sensing Apps have been widely used as a practical approach to col...
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03/06/2020
A Hierarchical Semantic Overlay for P2P Search
In this paper, we propose a hierarchical semantic overlay network for se...
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03/06/2020
A P2P Context Lookup Service for Multiple Smart Spaces
Context information has emerged as an important resource to enable auton...
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07/31/2019
Inverse Reinforcement Learning with Multiple Ranked Experts
We consider the problem of learning to behave optimally in a Markov Deci...
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07/09/2019
FarSense: Pushing the Range Limit of WiFi-based Respiration Sensing with CSI Ratio of Two Antennas
The past few years have witnessed the great potential of exploiting chan...
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09/08/2018
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries
Speed and cost of logistics are two major concerns to on-line shoppers, ...
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05/22/2018
Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing
Worker recruitment is a crucial research problem in Mobile Crowd Sensing...
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05/22/2018
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
Task allocation is a major challenge in Mobile Crowd Sensing (MCS). Whil...
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05/22/2018
Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions
With the advent of seamless connection of human, machine, and smart thin...
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05/22/2018
Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities
Mobile Crowd Sensing (MCS) is the special case of crowdsourcing, which l...
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04/19/2018
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing
Sparse Mobile CrowdSensing (MCS) is a novel MCS paradigm where data infe...
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05/23/2017