Learn to Sense: a Meta-learning Based Distributed Sensing Algorithm in Wireless Sensor Networks

2018 ◽  
Author(s):  
Hui Wu ◽  
Zhaoyang Zhang ◽  
Chunxu Jiao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Distributed Sensing ◽  
Wireless Sensor ◽  
Meta Learning

scholarly journals A Review over Classification and Challenges of Congestion Control in Wireless Sensor Network

2018 ◽  
Vol 2 (5) ◽  
Author(s):  
Sandhya Yadav ◽  
Deepak Tomar
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Sensor Network ◽  
Distributed Sensing ◽  
Sensor Nodes ◽  
Network Services ◽  
Wireless Sensor ◽  
Protocol Stack ◽  
Proper Action

Wireless Sensor Networks are used to perform distributed sensing in various fields, such as health, military, home etc. Sensing is done in order to have a better understanding of the behavior of the monitored entity or to monitor an environment for the occurrence of a set of possible events, so that proper action may be taken whenever necessary. In, wireless sensor networks, sensor nodes should communicate among themselves and do distributed computation over the sensed values to identify the occurrence of an event. The aim of this paper is to present the review of recent sensor network here we have discussion regarding the protocol stack of WSN and various network services and congestion control on WSN.

scholarly journals Learn to Sense: A Meta-Learning-Based Sensing and Fusion Framework for Wireless Sensor Networks

2019 ◽  
Vol 6 (5) ◽  
pp. 8215-8227 ◽  
Author(s):  
Hui Wu ◽  
Zhaoyang Zhang ◽  
Chunxu Jiao ◽  
Chunguang Li ◽  
Tony Q. S. Quek
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Meta Learning ◽  
Fusion Framework

scholarly journals Localization in wireless sensor networks: Classification and evaluation of techniques

2012 ◽  
Vol 22 (2) ◽  
pp. 281-297 ◽  
Author(s):  
Ewa Niewiadomska-Szynkiewicz
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Cost ◽  
Distributed Sensing ◽  
Wireless Sensor ◽  
Wireless Sensing ◽  
Accurate Localization ◽  
Large Numbers ◽  
Testbed Implementation ◽  
Localization Systems

Localization in wireless sensor networks: Classification and evaluation of techniques Recent advances in technology have enabled the development of low cost, low power and multi functional wireless sensing devices. These devices are networked through setting up a Wireless Sensor Network (WSN). Sensors that form a WSN are expected to be remotely deployed in large numbers and to self-organize to perform distributed sensing and acting tasks. WSNs are growing rapidly in both size and complexity, and it is becoming increasingly difficult to develop and investigate such large and complex systems. In this paper we provide a brief introduction to WSN applications, i.e., properties, limitations and basic issues related to WSN design and development. We focus on an important aspect of the design: accurate localization of devices that form the network. The paper presents an overview of localization strategies and attempts to classify different techniques. A set of properties by which localization systems are evaluated are examined. We then describe a number of existing localization systems, and discuss the results of performance evaluation of some of them through simulation and experiments using a testbed implementation.

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