A Quality Information Oriented Collaboration Method for Mobile Crowd Sensing [PDF]
Jisuanji gongcheng, 2017 The existing researchon sensing information quality mainly focuses on the mobile nodes recruiting,selecting and sensing task allocating,lacking optimizing the execution of sensing tasks.This paper proposes Sensing Task Migrating(STM) method based on ...
ZHANG Jide,YUAN Yin,LIU Yazhi,ZHANG Xinying,YANG Zongshuai
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Software Architecture Patterns for Extending Sensing Capabilities and Data Formatting in Mobile Sensing [PDF]
Sensors, 2022 Mobile sensing—that is, the ability to unobtrusively collect sensor data from built-in phone and attached wearable sensors—have proven to be a powerful approach to understanding the behavior, well-being, and health of people in their everyday life ...
Jakob E. Bardram
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Decentralized Policy Coordination in Mobile Sensing with Consensual Communication [PDF]
Sensors, 2022 In a typical mobile-sensing scenario, multiple autonomous vehicles cooperatively navigate to maximize the spatial–temporal coverage of the environment.
Bolei Zhang, Lifa Wu, Ilsun You
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Opportunistic Transmission Mechanism Based on QoS Sensing and Cooperative Competition in Mobile Crowd Sensing Network [PDF]
Jisuanji gongcheng, 2016 To improve the efficiency of data sensing,collection and transmission in mobile crowd sensing network,this paper presents an opportunistic transmission mechanism based on QoS sensing and cooperative competition.In the mechanism,a mobile crowd sensing ...
YUAN Guixia,ZHOU Xianchun
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Mobile Sensing in the COVID-19 Era: A Review [PDF]
Health Data Science, 2022 Background. During the COVID-19 pandemic, mobile sensing and data analytics techniques have demonstrated their capabilities in monitoring the trajectories of the pandemic, by collecting behavioral, physiological, and mobility data on individual ...
Zhiyuan Wang +5 more
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Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study. [PDF]
JMIR Form Res, 2023 Sükei E +7 more
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Mobile Sensing Apps and Self-management of Mental Health During the COVID-19 Pandemic: Web-Based Survey. [PDF]
JMIR Form Res, 2021 Suruliraj B +6 more
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Cognitive bias modification for threat interpretations: using passive Mobile Sensing to detect intervention effects in daily life. [PDF]
Anxiety Stress Coping, 2022 Daniel KE +6 more
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Review of Mobile Air-Ground Crowdsensing [PDF]
Jisuanji kexue, 2022 As an emerging sensing mode,mobile crowdsensing can realize low-cost and large-scale urban sensing by reusing a large number of existing mobile sensing resources of air and ground.Therefore,it is of great significance to improve the utilization of mobile
CHENG Wen-hui, ZHANG Qian-yuan, CHENG Liang-hua, XIANG Chao-can, YANG Zhen-dong, SHEN Xin, ZHANG Nai-fan
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Mobile Participatory Sensing Systems: A Comprehensive Review [PDF]
EAI Endorsed Transactions on Mobile Communications and Applications, 2021 Mobile Participatory Sensing Systems have the potential to improve different services through monitoring of the urban landscape using mobile devices based on the collaboration of thousands of mobile users.
Ashley Rajoo, Kavi Khedo, Utam Mungur
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