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Sensor Networks (C.2.1...)
Challenges of privacy-preserving machine learning in IoT
Zheng M., Xu D., Jiang L., Gu C., Tan R., Cheng P. AIChallengeIoT 2019 (Proceedings of the First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, New York, NY, Nov 10-13, 2019) 1-7, 2019. Type: Proceedings
The widespread adoption of Internet of Things (IoT) devices has made available a huge amount of data, thus enabling the development of applications that use machine learning (ML) to gather and dig up information, even from a user...
Feb 3 2020
Sleep behavior assessment via smartwatch and stigmergic receptive fields
Alfeo A., Barsocchi P., Cimino M., La Rosa D., Palumbo F., Vaglini G. Personal and Ubiquitous Computing 22(2): 227-243, 2018. Type: Article
A stigmergic receptive field (SRF) is suggested as an improved variant of machine learning (ML). The authors successfully prove their proposed variant. They analyze heartbeat rate and accelerometer data coming from a smart watch to det...
Oct 18 2018
Advanced Internet of Things for personalised healthcare systems
Qi J., Yang P., Min G., Amft O., Dong F., Xu L. Pervasive and Mobile Computing 41 132-149, 2017. Type: Article
The Internet of Things (IoT) is becoming a cornerstone technology that is being used for affordable enhancement in the healthcare sector. Using IoT-enabled medical applications today shows promise for offering better healthcare service...
Apr 18 2018
Optimizing detection quality and transmission quality of barrier coverage in heterogeneous wireless sensor networks
Lai Y., Jiang J. Mobile Networks and Applications 22(5): 959-969, 2017. Type: Article
Invariably all progress is made because we, as the saying goes, are able to see further standing on the shoulders of giants. Yet this is the first time I have seen a paper with such refreshing homage to that adage. The problem space th...
Apr 3 2018
ADC: an adaptive data collection protocol with free addressing and dynamic duty-cycling for sensor networks
Tong F., Pan J. Mobile Networks and Applications 22(5): 983-994, 2017. Type: Article
Wireless sensor networks (WSNs) constitute a set of tiny electronic devices, powered by batteries with limited sensing, computation, and communications capabilities. These limitations cause the cross-layer energy efficiency optimizatio...
Apr 2 2018
Recovery from simultaneous failures in a large scale wireless sensor network
Chouikhi S., El Korbi I., Ghamri-Doudane Y., Azouz Saidane L. Ad Hoc Networks 67 68-76, 2017. Type: Article
Wireless sensor networks (WSNs) are an appealing choice for applications such as environmental monitoring due to the capability to deploy massive amounts of cheaper sensor nodes and manage them in a distributed fashion. An important pr...
Feb 14 2018
Energy-efficient context aware power management with asynchronous protocol for body sensor network
Magno M., Polonelli T., Casamassima F., Gomez A., Farella E., Benini L. Mobile Networks and Applications 22(5): 814-824, 2017. Type: Article
Magno et al. address a challenging issue of wearable devices for fitness and health tracking: low-power resources and wireless communication. The lifetime of these devices is limited by the small energy storage components that supply t...
Dec 21 2017
Wireless sensor networks: security, coverage, and localization
Selmic R., Phoha V., Serwadda A., Springer International Publishing, New York, NY, 2016. 215 pp. Type: Book (978-3-319467-67-2)
With the emerging fields of Internet of Things (IoT) and wearable technologies, sensor networks have become an important concept. They have applications in many different domains, including healthcare, military, and home automation. Th...
Aug 2 2017
Supervisory routing control for dynamic load balancing in low data rate wireless sensor networks
Kamal A., Hamid M. Wireless Networks 23(4): 1085-1099, 2017. Type: Article
Penetration of wireless sensor networking (WSN) technology in different aspects of human life has made its problems more salient than ever. Routing is one of the important problems in WSN, and different algorithms have been devised to ...
Jun 16 2017
Private data analytics on biomedical sensing data via distributed computation
Gong Y., Fang Y., Guo Y. IEEE/ACM Transactions on Computational Biology and Bioinformatics 13(3): 431-444, 2016. Type: Article
Predictive model training systems actually lack positive samples such as biomedical data from healthy people due to data privacy preservation issues that mHealth users face. This paper therefore presents a novel approach that preserves...
Jun 2 2017
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