In the IoT (Internet of Things) environment, smart homes, smart grids, and telematics
constantly generate data with complex attributes. These data have low heterogeneity and …

To survive in the competitive environment, most organizations have adopted component-
based software development strategies in the rapid technology advancement era and the …

Abstract The Internet of Things (IoT) is the core infrastructure of the smart city information
system. With the explosive growth of IoT devices, how to securely maintain the important …

During the last decade, significant research has been conducted in the fields of healthcare
and the administration of cutting-edge ambient intelligence (AmI) technology. Healthcare …

With the explosive growth in the number of IoT devices, ensuring the integrity of the massive
data generated by these devices has become an important issue. Due to the limitation of …

In this paper, a communication model in cognitive radios is developed and uses machine
learning to learn the dynamics of jamming attacks in cognitive radios. It is designed further to …

The mobile transient and sensor network's routing algorithm detects available multi-hop
paths between source and destination nodes. However, some methods are not as reliable or …

Deep learning is the subset of artificial intelligence and it is used for effective decision
making. Wireless Sensor based automated irrigation system is proposed to monitor and …

Applications based on Wireless Sensor Networks (WSN) have shown to be quite useful in
monitoring a particular geographic area of interest. Relevant geometries of the surrounding …

We investigate the in-network processing of a skyline join query in wireless sensor networks
(WSNs). While much research was conducted on processing skyline queries in WSNs …