Machine learning for smart environments in B5G networks: Connectivity and QoS
The number of Internet of Things (IoT) devices to be connected via the Internet is
overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and …
overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and …
Making cities smarter—optimization problems for the iot enabled smart city development: A map** of applications, objectives, constraints
One of the prime aims of smart cities has been to optimally manage the available resources
and systems that are used in the city. With an increase in urban population that is set to grow …
and systems that are used in the city. With an increase in urban population that is set to grow …
Novel energy management scheme in IoT enabled smart irrigation system using optimized intelligence methods
In recent times, due to the growing global population and increased food demand, smart
agriculture is becoming more vital. In this context, Internet of Things (IoT) technologies have …
agriculture is becoming more vital. In this context, Internet of Things (IoT) technologies have …
Integrated machine learning techniques for preserving privacy in Internet of Things (IoT) systems
The advances in human-driven entities has resulted in a huge amount of smart
technologies, such as smart healthcare, smart offices, smart classrooms, and various others …
technologies, such as smart healthcare, smart offices, smart classrooms, and various others …
Multi-level trust-based secure and optimal IoT-WSN routing for environmental monitoring applications
Wireless sensor networks (WSNs) are a critical component of the Internet of Things (IoT)
which can be used in various fields, including environmental monitoring, smart agriculture …
which can be used in various fields, including environmental monitoring, smart agriculture …
Optimal sensor network routing with secure network monitoring using deep learning architectures
S Qamar - Neural Computing and Applications, 2023 - Springer
Wireless sensor network (WSN) comprises the interconnection of things or objects that are
embedded with both hardware and software. The WSN is a tiny sensor with end device …
embedded with both hardware and software. The WSN is a tiny sensor with end device …
Energy-efficient data aggregation and cluster-based routing in wireless sensor networks using tasmanian fully recurrent deep learning network with pelican variable …
S Yadawad, SM Joshi - Journal of Interconnection Networks, 2023 - World Scientific
One of the major significant problems in the existing techniques in Wireless Sensor
Networks (WSNs) is Energy Efficiency (EE) because sensor nodes are battery-powered …
Networks (WSNs) is Energy Efficiency (EE) because sensor nodes are battery-powered …
Probabilistic coverage in mobile directional sensor networks: a game theoretical approach
E Golrasan, M Varposhti - The Journal of Supercomputing, 2023 - Springer
Directional sensor nodes deployment is indispensable to a large number of applications
including Internet of Things applications. Nowadays, with the recent advances in robotic …
including Internet of Things applications. Nowadays, with the recent advances in robotic …
An overview of IoT based intelligent irrigation systems for greenhouse: Recent trends and challenges
Food security is an issue that arises as a result of the rising population since population
growth decreases agricultural land, leading to water scarcity. Agriculture requires large …
growth decreases agricultural land, leading to water scarcity. Agriculture requires large …
Fault tolerance and energy efficient multi-Hop clustering with dual base stations in large scale wireless sensor network
Wireless sensor network (WSN) with the recent advancement in wireless technologies and
numerous applications gaining its impact and market value. WSNs are the collection and …
numerous applications gaining its impact and market value. WSNs are the collection and …