Results 21 to 30 of about 416,908 (286)

Intelligent Routing Orchestration for Ultra-Low Latency Transport Networks

open access: yesIEEE Access, 2020
Autonomous driving scenarios face the need for millisecond real-time response, which has led to the study of mobile networks with high speed and ultra-low latency.
Qingmin Meng   +3 more
doaj   +1 more source

Wireless ferroelectric resonating sensor

open access: yesIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2010
This paper presents a passive wireless resonating sensor that is based on a ferroelectric varactor. The sensor replies with its data at an intermodulation frequency when a reader device illuminates it at 2 closely located frequencies. The paper derives a theoretical equation for the response of such a sensor, verifies the theory by simulations, and ...
Seppä, Heikki   +4 more
openaire   +2 more sources

Constructing Maximum-Lifetime Data-Gathering Tree in WSNs Based on Compressed Sensing

open access: yesInternational Journal of Distributed Sensor Networks, 2016
Data gathering is one of the most important operations in many wireless sensor networks (WSNs) applications. In order to implement data gathering, a tree structure rooted at the sink is usually defined. In most wireless sensor networks, nodes are powered
Zhengyu Chen   +3 more
doaj   +1 more source

Miniaturized Wireless Sensor Networks

open access: yes2006 International Semiconductor Conference, 2006
This paper addresses an overview of the wireless sensor networks. It is shown that MEMS/NEMS technologies and SIP concept are well suited for advanced architectures. It is also shown analog architectures have to be compatible with digital signal techniques to develop smart network of microsystem.
Lecointre, Aubin   +9 more
openaire   +3 more sources

FCS-MBFLEACH: Designing an Energy-Aware Fault Detection System for Mobile Wireless Sensor Networks [PDF]

open access: yes, 2019
Wireless sensor networks (WSNs) include large-scale sensor nodes that are densely distributed over a geographical region that is completely randomized for monitoring, identifying, and analyzing physical events.
GhasemiGol, Mohammad   +5 more
core   +2 more sources

Improved Virtual Potential Field Algorithm Based on Probability Model in Three-Dimensional Directional Sensor Networks

open access: yesInternational Journal of Distributed Sensor Networks, 2012
In conventional directional sensor networks, coverage control for each sensor is based on a 2D directional sensing model. However, 2D directional sensing model failed to accurately characterize the actual application scene of image/video sensor networks.
Junjie Huang   +3 more
doaj   +1 more source

A resilient key predistribution scheme for multiphase wireless sensor networks [PDF]

open access: yes, 2009
In wireless sensor networks, sensor nodes eventually die due to battery depletion. Wireless sensor networks (WSNs) in which new nodes are periodically redeployed with certain intervals, called generations, to replace the dead nodes are called multi-phase
Ergun, Murat   +3 more
core   +2 more sources

Redundancy Model and Boundary Effects Based Coverage-Enhancing Algorithm for 3D Underwater Sensor Networks

open access: yesInternational Journal of Distributed Sensor Networks, 2014
In the study of three-dimensional underwater sensor networks, the nodes would produce changes in perception range under the influence of environmental factors and their own hardware. Requesting all nodes completely isomorphic is unrealistic.
Junjie Huang   +5 more
doaj   +1 more source

A New Inter-Domain Information Sharing Smart System Based on ABSES in SDN

open access: yesIEEE Access, 2018
With the continuous innovation and development of agent technology, the application of smart technique is gradually changing to intelligent and human-centered technology.
Jingjing Xu   +3 more
doaj   +1 more source

A survey of localization in wireless sensor network [PDF]

open access: yes, 2012
Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method.
Ampeliotis D.   +32 more
core   +3 more sources

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