Bluetooth 5.1: An analysis of direction finding capability for high-precision location services
This paper presents an in-depth overview of the Bluetooth 5.1 Direction Finding standard's
potentials, thanks to enhancing the Bluetooth Low Energy (BLE) firmware. This improvement …
potentials, thanks to enhancing the Bluetooth Low Energy (BLE) firmware. This improvement …
Energy-efficient cluster head selection in wireless sensor networks using an improved grey wolf optimization algorithm
M Rami Reddy, ML Ravi Chandra, P Venkatramana… - Computers, 2023 - mdpi.com
The internet of things (IoT) and industrial IoT (IIoT) play a major role in today's world of
intelligent networks, and they essentially use a wireless sensor network (WSN) as a …
intelligent networks, and they essentially use a wireless sensor network (WSN) as a …
MSSPP: modified sparrow search algorithm based mobile sink path planning for WSNs
Past studies reveal the benefits of using Mobile Sink in Wireless Sensor Networks to bring
about increased data collection efficiency and overall network performance in numerous …
about increased data collection efficiency and overall network performance in numerous …
An efficient and cost effective application mapping for network-on-chip using Andean condor algorithm
Advancement in very large scale integration (VLSI) technologies and the ever-shrinking size
of the transistors have led the semiconductor designers to create a multiprocessor system on …
of the transistors have led the semiconductor designers to create a multiprocessor system on …
[PDF][PDF] GreenSlice: An Energy-Efficient Secure Network Slicing Framework.
The fifth generation of telecommunication networks comes with various use cases such as
Enhanced Mobile Broadband, Ultra-Reliable and Low Latency Communications and …
Enhanced Mobile Broadband, Ultra-Reliable and Low Latency Communications and …
Priority Evasion Attack: An Adversarial Example That Considers the Priority of Attack on Each Classifier
H Kwon, C Cho, J Lee - IEICE TRANSACTIONS on Information and …, 2022 - search.ieice.org
Deep neural networks (DNNs) provide excellent services in machine learning tasks such as
image recognition, speech recognition, pattern recognition, and intrusion detection …
image recognition, speech recognition, pattern recognition, and intrusion detection …
Optimization of Cluster Head Selection and Enhancing Energy Efficiency in Wireless Sensor Networks Using Novel Metaheuristic Algorithms
Clustering-based routing is preferred to support fault tolerance, load balancing, reliable
communication, and to prolong the network lifetime in a wireless sensor network (WSN). The …
communication, and to prolong the network lifetime in a wireless sensor network (WSN). The …
Machine Learning-Based Energy Optimization and Anomaly Detection for Heterogeneous Wireless Sensor Network
Sensor nodes (SNs), which are low-power devices with short network lifetimes and efficient
energy use, make up a wireless sensor network (WSN). A wireless device runs on batteries …
energy use, make up a wireless sensor network (WSN). A wireless device runs on batteries …
Gradient enhanced regressive multivariate artificial fish swarm optimized data collection for IoT-enabled WSN in smart environments
RR Mostafa, M El Bannany… - … Conference on Advances …, 2023 - ieeexplore.ieee.org
The emerging Internet of Things (IoT)-based Wireless Sensor Networks (WSN) consist of
small size of sensor nodes for monitoring and collecting data from environmental conditions …
small size of sensor nodes for monitoring and collecting data from environmental conditions …
Which one is more robust to low-rate DDoS attacks? The Multipath TCP or The SCTP
With the vigorous development of mobile Internet technology, real-time streaming media
applications such as mobile short video and network live broadcast are becoming more and …
applications such as mobile short video and network live broadcast are becoming more and …