Current trends on green wireless sensor networks
JC Lopez-Ardao, RF Rodriguez-Rubio… - Sensors, 2021 - mdpi.com
The issue of energy balancing in Wireless Sensor Networks is a pivotal one, crucial in their
deployment. This problem can be subdivided in three areas:(i) energy conservation …
deployment. This problem can be subdivided in three areas:(i) energy conservation …
Development of nanosensors based intelligent packaging systems: food quality and medicine
The issue of medication noncompliance has resulted in major risks to public safety and
financial loss. The new omnipresent medicine enabled by the Internet of things offers …
financial loss. The new omnipresent medicine enabled by the Internet of things offers …
Artificial intelligence-driven mechanism for edge computing-based industrial applications
AH Sodhro, S Pirbhulal… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Due to various challenging issues such as, computational complexity and more delay in
cloud computing, edge computing has overtaken the conventional process by efficiently and …
cloud computing, edge computing has overtaken the conventional process by efficiently and …
A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks
Abstract Wireless Body Sensor Network (BSNs) are wearable sensors with varying sensing,
storage, computation, and transmission capabilities. When data is obtained from multiple …
storage, computation, and transmission capabilities. When data is obtained from multiple …
A joint deep learning and internet of medical things driven framework for elderly patients
Deep learning (DL) driven cardiac image processing methods manage and monitor the
massive medical data collected by the internet of things (IoT) based on wearable devices. A …
massive medical data collected by the internet of things (IoT) based on wearable devices. A …
[HTML][HTML] Gait-based identification for elderly users in wearable healthcare systems
The increasing scope of sensitive personal information that is collected and stored in
wearable healthcare devices includes physical, physiological, and daily activities, which …
wearable healthcare devices includes physical, physiological, and daily activities, which …
Adaptive sliding window based activity recognition for assisted livings
The incessant diffusion of smart wearable devices and Body Area Networks (BANs) systems
is pushing more and more researches on human activity recognition. Previous studies …
is pushing more and more researches on human activity recognition. Previous studies …
AI-enabled framework for fog computing driven e-healthcare applications
Artificial Intelligence (AI) is the revolutionary paradigm to empower sixth generation (6G)
edge computing based e-healthcare for everyone. Thus, this research aims to promote an AI …
edge computing based e-healthcare for everyone. Thus, this research aims to promote an AI …
Artificial Intelligence based QoS optimization for multimedia communication in IoV systems
Due to the advancements in multimedia communication in internet of vehicles (IoV) through
emerging technologies ie, WiFi, Bluetooth, and fifth generation (5G) etc. The critical …
emerging technologies ie, WiFi, Bluetooth, and fifth generation (5G) etc. The critical …
An adaptive QoS computation for medical data processing in intelligent healthcare applications
AH Sodhro, AS Malokani, GH Sodhro… - Neural computing and …, 2020 - Springer
Efficient computation of quality of service (QoS) during medical data processing through
intelligent measurement methods is one of the mandatory requirements of the medial …
intelligent measurement methods is one of the mandatory requirements of the medial …