Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols. [PDF]
Juwaied A, Jackowska-Strumillo L.
europepmc +1 more source
Safety-Constrained Reinforcement Learning for Energy-Aware Transmission Scheduling in Seismic Wireless Sensor Networks. [PDF]
Nazamdin I, Reid A.
europepmc +1 more source
PAC-ZNN for Robust Target Tracking in WSNs Against Complex Polynomial Noise. [PDF]
Zhan Z, Song Z, Huang S, Xie Q, Xiao X.
europepmc +1 more source
A hybrid metaheuristic algorithm with machine learning for detecting denial-of-service attacks in wireless sensor networks. [PDF]
Prasad A, Arockiasamy K, Gunasekaran K.
europepmc +1 more source
An intelligent IoT-machine learning framework for wildfire detection and prediction using a hybrid RF-XGB model. [PDF]
Radhi AA, Ibrahim AA.
europepmc +1 more source
Energy optimized scheduling in wireless sensor networks (WSNs) using hybrid bio-inspired reinforcement learning approach. [PDF]
Sarobin MVR +5 more
europepmc +1 more source
Aircraft wireless sensor network (WSN) testbed
[CATALÀ] El objectiu d’aquest projecte final de carrera es donar suport al desenvolupament d’una xarxa de sensors sense cables per un aircraft. Aquest tema presta cert interès actualment als fabricants de aircraft per tal de reduir la quantitat de cables que requereixen per cablejar els milers de sensors i actuadors instal·lats a múltiples ...
openaire +1 more source
Optimizing sleep scheduling in wireless sensor networks via node utility and critical target prioritization. [PDF]
Wu J, Tian S, Qi X, Cai Z, Wang P.
europepmc +1 more source
Energy-Aware adaptive virtualization and migration protocol for green IoT wireless sensor networks. [PDF]
Liu Y, Li Y, Ge N.
europepmc +1 more source
AI-Driven Energy-Efficient Routing in IoT-Based Wireless Sensor Networks: A Comprehensive Review. [PDF]
Thakur S, Sarkar NI, Yongchareon S.
europepmc +1 more source

