Recent advances and future prospects of using AI solutions for security, fault tolerance, and QoS challenges in WSNs
The increasing relevance and significant acceptance of Wireless Sensor Network (WSN)
solutions have aided the creation of smart environments in a multitude of sectors, including …
solutions have aided the creation of smart environments in a multitude of sectors, including …
[HTML][HTML] A fixed clustering protocol based on random relay strategy for EHWSN
X Luo, C Zhang, L Bai - Digital Communications and Networks, 2023 - Elsevier
Abstract In Energy Harvesting Wireless Sensor Networks (EHWSN), the communication
protocol will directly affect the final performance of the network, so it is necessary to study the …
protocol will directly affect the final performance of the network, so it is necessary to study the …
Smart cities: The role of Internet of Things and machine learning in realizing a data-centric smart environment
This paper explores the concept of smart cities and the role of the Internet of Things (IoT)
and machine learning (ML) in realizing a data-centric smart environment. Smart cities …
and machine learning (ML) in realizing a data-centric smart environment. Smart cities …
An adaptive topology management scheme to maintain network connectivity in Wireless Sensor Networks
The roots of Wireless Sensor Networks (WSNs) are tracked back to US military
developments, and, currently, WSNs have paved their way into a vast domain of civil …
developments, and, currently, WSNs have paved their way into a vast domain of civil …
A reinforcement learning based routing protocol for software-defined networking enabled wireless sensor network forest fire detection
Abstract Critical event reporting Wireless Sensor Networks (WSNs) applications need vital
requirements (extended network lifetime, reliability, real time responsiveness, and …
requirements (extended network lifetime, reliability, real time responsiveness, and …
An energy efficient data fault prediction based clustering and routing protocol using hybrid ASSO with MERNN in wireless sensor network
G Mahalakshmi, S Ramalingam… - Telecommunication …, 2024 - Springer
Wireless sensor networks (WSNs) and Internet of Things (IoT) are essential for numerous
applications. WSN nodes often operate on limited battery capacity, so energy efficiency is a …
applications. WSN nodes often operate on limited battery capacity, so energy efficiency is a …
Enhancing time series forecasting with an optimized binary gravitational search algorithm for echo state networks
The echo state network (ESN) is a cutting-edge reservoir computing technique designed to
handle time-dependent data, making it highly effective for addressing time series prediction …
handle time-dependent data, making it highly effective for addressing time series prediction …
[HTML][HTML] Securing Android IoT devices with GuardDroid transparent and lightweight malware detection
Abstract The Internet of Things (IoT) has experienced significant growth in recent years and
has emerged as a very dynamic sector in the worldwide market. Being an open-source …
has emerged as a very dynamic sector in the worldwide market. Being an open-source …
Energy optimized data fusion approach for scalable wireless sensor network using deep learning-based scheme
Energy efficiency and security are critical components of Quality of Service (QoS) and
remain a challenge in WSN-assisted IoT owing to its open and resource-limited nature …
remain a challenge in WSN-assisted IoT owing to its open and resource-limited nature …
Robust multi-mode probabilistic slow feature analysis with application to fault detection
This paper proposes a robust multi-mode dynamic data-driven model to identify complex
industrial processes and study its application in detecting incipient faults. To model the …
industrial processes and study its application in detecting incipient faults. To model the …