Machine learning (ML) technology has shown its unique advantages in many fields and has
excellent performance in many applications, such as image recognition, speech recognition …

The last decade has witnessed the rise of the proliferation of Internet-enabled devices. The
Internet of Things (IoT) is becoming ever more pervasive in everyday life, connecting an ever …

Typically, wireless sensor networks (WSNs) use limited-capacity batteries that cannot be
recharged or replaced. In general, designing an energy-efficient routing protocol has a …

Abstract Wireless Sensor Network (WSN) has a significant factor in energy conservation as it
is effectively impracticable for recharging the energy of the nodes in their remote location …

A metaheuristic approach based hybrid data routing algorithm is proposed in this paper for
energy-efficient wireless sensor network (WSN) applications in Internet of Things (IoT). High …

One of the key design problems of wireless sensor networks is to reduce energy
consumption and improve node survival. Because the battery in sensor nodes is difficult to …

Emergence of applications of wireless sensor networks in various fields over time requires to
acknowledge existing solutions which have been proposed in history to overcome various …

Using reinforcement learning to adjust the power balance of sensor nodes dynamically is an
essential approach for extending the lifetime of wireless sensor networks (WSNs), which …

Abstract The Satellite-Terrestrial Integrated Networks (STINs) is considered as a reliable and
agile next-generation communication network scheme, because it is flexible to deploy and …

In this article, a balanced multipath routing and hybrid transmission approach (BMRHTA) is
proposed to effectively alleviate the imbalance of the forwarding load in a sink connection …