Results 41 to 50 of about 1,502,311 (318)
IEEE Access, 2019 The increase of network size and sensory data leads to many serious problems to the wireless sensor networks due to the limited energy. Data prediction method is helpful to reduce network traffic and increase the network lifetime accordingly, especially ...
Hongju Cheng +3 more
doaj +1 more source
MH-REACH-Mote: supporting multi-hop passive radio wake-up for wireless sensor network [PDF]
, 2015 A passive wake-up radio in a wireless sensor network (WSN) has the advantage of increasing network lifetime by using a wake-up radio receiver (WuRx) to eliminate unnecessary idle listening.
Chen, Li +3 more
core +1 more source
Italian National Conference on Sensors, 2021 The primary focus of autonomous driving research is to improve driving accuracy and reliability. While great progress has been made, state-of-the-art algorithms still fail at times and some of these failures are due to the faults in sensors.
Saeid Safavi +3 more
semanticscholar +1 more source
Multi-Modal Sensor Fusion-Based Deep Neural Network for End-to-End Autonomous Driving With Scene Understanding [PDF]
IEEE Sensors Journal, 2020 This study aims to improve the performance and generalization capability of end-to-end autonomous driving with scene understanding leveraging deep learning and multimodal sensor fusion techniques.
Zhiyu Huang +3 more
semanticscholar +1 more source
Jurnal SisfokomThis study aims to evaluate the performance of an IoT-based Wireless Sensor Network (WSN) system in monitoring temperature and humidity in a modern poultry house. Testing was conducted across two network topologies — single-hop and multi-hop — to analyze
Vera Noviana Sulistyawan +7 more
doaj +1 more source
Energy Efficient Sleep Awake Aware (EESAA) Intelligent Sensor Network Routing Protocol
, 2012 Wireless Sensor Networks (WSNs), with growing applications in the environment which are not within human reach have been addressed tremendously in the recent past.
Javaid, N., Qureshi, T. N., Shah, T.
core +1 more source
MuSLi: A multi sensor LiDAR detection for C-V2X networks
Computer Networks, 2023 Obstacle detection is a tool adopted in vehicular safety applications, aiming to detect a moving obstacle in an area of interest with the highest accuracy. Different sensors are used for this aim, such as LiDAR devices mounted on board of a vehicle that capture images of the surrounding environment.
Giuliano R. +5 more
openaire +4 more sources
Gong-kuang zidonghua, 2016 When traditional wireless sensor network based on single sink node is applied in coal mine monitoring system, the sensors far away from tunnel crossing cannot transmit monitoring data to sink nodes in the tunnel crossing real timely and exactly. In order
LI Wanghuai, XIA Xu
doaj +1 more source
Symbiot: Congestion-driven Multi-resource Fairness for Multi-User Sensor Networks [PDF]
, 2015 © 2015 IEEE.In this paper, we study the problem of multi-resource fairness in multi-user sensor networks with heterogeneous and time-varying resources.
Adeel, McCann, Tahir, Yang, Shusen
core +1 more source
Stability Analysis of Multi-Sensor Kalman Filtering over Lossy Networks [PDF]
Sensors, 2016 This paper studies the remote Kalman filtering problem for a distributed system setting with multiple sensors that are located at different physical locations. Each sensor encapsulates its own measurement data into one single packet and transmits the packet to the remote filter via a lossy distinct channel.
Shouwan Gao +3 more
openaire +3 more sources