A huge increase in the percentage of the world's urban population poses resource
management, especially energy management challenges in smart cities. In this paper, the …

A wireless sensor network (WSN) is made up of many sensor nodes with insufficient energy,
storage, and processing capabilities. Data gathering and transmission to the base station …

This paper poses new challenges, especially when designing routing protocols to improve
the quality of service (QoS) criteria and the lifetime of large-scale wireless sensor networks …

Due to the technological advancements in wireless communication and their continuously
increasing applications in collaborative and cooperative smart infrastructures, energy …

In wireless sensor networks (WSN), machine learning (ML) algorithms have an important
role in cluster head (CH) selection according to several quality of service (QoS) metrics. This …

Real-time status monitoring is crucial in ensuring the safety of railway tunnel traffic. The
primary monitoring method currently involves deploying sensors to form a Wireless Sensor …

Wireless Sensor Networks (WSNs) are used in every industry now because of the many
benefits they provide. Over a thousand sensors are networked together to deliver higher …

In response to the harsh and limited conditions prevalent in remote areas, wireless sensor
and actuator networks (WSANs) play an essential role in Internet-of-Things systems by …

In many fields, such as monitoring the environment, health care, and surveillance, Software
Defined Networking (SDN) was essential. The system performance of SDN remains severely …

In a cost-effective peak shaving strategy, clustering and machine learning algorithm can be
used to set optimal peak shaving time zone for each load. Energy Storage System (ESS) …