Wireless sensor networks (WSNs) are growing rapidly in various fields of commerce,
medicine, industrial, agriculture, research, meteorology, etc. that eases complicated tasks …

Software-defined networking (SDN) decouples data and control plane, ie, forwarding
elements are remotely configured by centralized controllers instead through distributed …

Wireless sensor networks (WSN) have problems such as limited power, weak computing
power, poor communication ability, and vulnerability to attack. However, the existing …

Momentous increase in the popularity of explainable machine learning models coupled with
the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient …

The extreme issues related to energy consumption and connectivity within the network in
mobile wireless sensor network indulges so many researchers to find out the optimal …

Abstract Wireless Sensor Networks (WSNs) is a promising technology with enormous
applications in almost every walk of life. One of the crucial applications of WSNs is intrusion …

The dramatic increase in the computational facilities integrated with the explainable
machine learning algorithms allows us to do fast intrusion detection and prevention at …

As an emerging network paradigm, the Internet of Things (IoT) which consists of a significant
number of multifunctional and heterogeneous IoT nodes has attracted dramatic attentions …

Node localization is a key issue in wireless sensor networks (WSN) area, and distance
vector hop (DV-Hop) algorithm is widely adopted in WSN localization. Existing DV-Hop …

Today, service composition is emerging paradigm on the communication networks such as
cloud environments, internet of things, wireless sensor network, and software‐defined …