Energy efficiency in wireless sensor networks: A top-down survey
T Rault, A Bouabdallah, Y Challal - Computer networks, 2014 - Elsevier
The design of sustainable wireless sensor networks (WSNs) is a very challenging issue. On
the one hand, energy-constrained sensors are expected to run autonomously for long …
the one hand, energy-constrained sensors are expected to run autonomously for long …
A survey on context-aware mobile and wireless networking: On networking and computing environments' integration
During the last years, a continuous convergence and fusion of computing and networking
systems is stressed in the ICT research community. Context awareness appears to be a …
systems is stressed in the ICT research community. Context awareness appears to be a …
CrowdRecruiter: Selecting participants for piggyback crowdsensing under probabilistic coverage constraint
This paper proposes a novel participant selection framework, named CrowdRecruiter, for
mobile crowdsensing. CrowdRecruiter operates on top of energy-efficient Piggyback …
mobile crowdsensing. CrowdRecruiter operates on top of energy-efficient Piggyback …
A survey of energy-efficient context recognition systems using wearable sensors for healthcare applications
Human context recognition (HCR) from on-body sensor networks is an important and
challenging task for many healthcare applications because it offers continuous monitoring …
challenging task for many healthcare applications because it offers continuous monitoring …
Efficient data aggregation with node clustering and extreme learning machine for WSN
I Ullah, HY Youn - The Journal of Supercomputing, 2020 - Springer
Wireless sensor network is effective for data aggregation and transmission in IoT
environment. Here, the sensor data often contain a significant amount of noises or …
environment. Here, the sensor data often contain a significant amount of noises or …
Adaptive sampling of RF fingerprints for fine-grained indoor localization
Indoor localization is a supporting technology for a broadening range of pervasive wireless
applications. One promising approach is to locate users with radio frequency fingerprints …
applications. One promising approach is to locate users with radio frequency fingerprints …
An adaptive bayesian system for context-aware data fusion in smart environments
The adoption of multi-sensor data fusion techniques is essential to effectively merge and
analyze heterogeneous data collected by multiple sensors, pervasively deployed in a smart …
analyze heterogeneous data collected by multiple sensors, pervasively deployed in a smart …
Exploring the computational cost of machine learning at the edge for human-centric Internet of Things
O Gómez-Carmona, D Casado-Mansilla… - Future Generation …, 2020 - Elsevier
In response to users' demand for privacy, trust and control over their data, executing
machine learning tasks at the edge of the system has the potential to make the Internet of …
machine learning tasks at the edge of the system has the potential to make the Internet of …
Intelligent data fusion for smart IoT environment: a survey
I Ullah, HY Youn - Wireless Personal Communications, 2020 - Springer
Efficient data collection and communication are key tasks in smart IoT environment
consisting of a large number of devices. Here imprecise data are generated due to the …
consisting of a large number of devices. Here imprecise data are generated due to the …
Atrial fibrillation detection from compressed ecg measurements for wireless body sensor network
Recent years have witnessed an increasing prevalence of wearable devices in the public,
where atrial fibrillation (AF) detection is a popular application in these devices. Generally, AF …
where atrial fibrillation (AF) detection is a popular application in these devices. Generally, AF …