Multichannel EEG data processing is usually required to decode Motor Imagery (MI) specific
cognitive patterns in Brain-Computer Interface (BCI) systems. The signals from its channels …

Abstract Wireless Sensor Networks (WSNs) which plays a crucial role in data transmission in
today's digital era faces various types of research challenges due to limited energy …

Wireless sensor networks (WSNs) have increased in popularity since they play a relevant
role in many applications, such as environmental monitoring, fire detection, and health care …

Wireless Sensor Networks (WSN) are deployed on a large scale and require protection from
malicious energy drainage attacks, particularly those directed at the routing layer. The …

Aiming at the quantum algorithm which can solve the problem of large integer
decomposition and discrete logarithm in polynomial time, an anti-quantum computing key …

Nowadays, energy optimization and data security are considered important security
challenges while designing the network topology of Wireless Sensor Networks (WSNs). The …

Sažetak Wireless Sensor Network (WSN) is a promising approach that is developed for a
wide range of applications due to its low installation cost. However, the nodes in the WSN …

Wireless Sensor Network (WSN) has inexpensive, small, and less energy sensor nodes,
which are allocated in random ways in particular areas for measuring the phenomenon or …

Wireless sensor networks (WSNs) are composed of numerous nodes distributed in
geographical regions. Security and energy efficiency are challenging tasks due to an open …

Wireless sensor networks (WSNs) are composed of numerous nodes distributed in
geographical regions. Security and energy efficiency are challenging tasks due to an open …