The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …

Abstract Machine Learning (ML) is growing in popularity and is applied in numerous fields to
solve complex problems. Opportunistic Networks are a type of Ad-hoc Network where a …

The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

Abstract Wireless Sensor Networks (WSNs) monitor dynamic environments that change
rapidly over time. As the Wireless Sensor Networks are resource-constrained, energy …

With new telecommunications engineering applications, the cognitive radio (CR) network‐
based internet of things (IoT) resolves the bandwidth problem and spectrum problem …

Abstract Internet of Things (IoT) consists of a huge number of sensors along with physical
things to gather and forward data intelligently. Green IoT applications based on Wireless …

In recent times, health applications have been gaining rapid popularity in smart cities using
the Internet of Medical Things (IoMT). Many real-time solutions are giving benefits to both …

The traditional routing method makes use of limited information on the network links to make
routing decisions, which makes it difficult to adapt to the dynamic and complex network and …

In this paper, a graph neural net-based routing algorithm is designed which leverages
global information from controller of a software-defined network to predict optimal path with …

Abstract Opportunistic IoT (OppIoT) network is a subclass of Internet of Things network, in
which connections between the source and destination devices are intermittent. This …