Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

Smart, secure and energy-efficient data collection (DC) processes are key to the realization
of the full potentials of future Internet of Things (FIoT)-based systems. Currently, challenges …

The rapid increase in the number of smart devices hosting sophisticated applications is
significantly affecting the landscape of the information com-munication technology industry …

In order to fulfill the tremendous resource demand by diverse IoT applications, the large-
scale resource-constrained IoT ecosystem requires a robust resource management …

Wireless sensor networks are consisted of group of sensor nodes, which are scattered in
inaccessible areas with limited resources. Data aggregation and clustering methods …

In this article, the proposed feedback-based resource management approach provides data
processing, huge computation, large storage, and networking services between Internet of …

Sensors power the entire internet of things applications. Sensors are one of the major power
consuming devices of IoT networks while transmitting and receiving data. Optimizing power …

The current Smart Education System includes the whiteboard screens which is an electronic
visual display enabled by touchscreen technologies thus being used universally. The field of …

Background Despite the consistent prevalence of unintended pregnancies in India and its
adverse impact on maternal and neonatal mortality, the literature discussing socioeconomic …

Internet of things is a technological advancement of wireless sensor networks (WSNs) which
are characterised by highly complex, large scale, heterogeneous, dynamically changing and …