scholarly journals Nodes and sensors for multipoint data collection

2020 ◽  
pp. 16
Author(s):  
Pilar Barreiro ◽  
Eva Cristina Correa ◽  
Belén Diezma Iglesias
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Data Transfer ◽  
Wireless Sensor ◽  
Soil Humidity ◽  
Network Nodes ◽  
Crop Physiology ◽  
Pest Detection ◽  
Different Parts

In this topic the technologies realted to wireless sensor networks (WSN) will be presented. The different parts of the network (nodes, gateway, data transfer protocols...) will be explained, as well as the sensors themselves (sensors for soil humidity, temperature, presure, precipitation, crop physiology, pest detection, etc.)

scholarly journals Study of multiple-source data collection in wireless sensor networks

2019 ◽  
Vol 14 (3) ◽  
pp. 1479
Author(s):  
Radhi Sehen Issa
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Data Transfer ◽  
Multiple Source ◽  
Wireless Sensor ◽  
Multiple Sources ◽  
Collection Process ◽  
Data Collection Process ◽  
Source Data

<p>A detailed survey on the process of data collection from multiple sources in Wireless Sensor Networks (WSNs) is introduced. The topologies that determine the location of the network components with respect to each other are presented. These topologies are often referred to as Mobility topologies. The performance of the overall WSN architecture significantly depends on these topologies. As a consequence, these topologies are elaborately compared and discussed. The most common network components that efficiently collaborate in data collection process are explained. To highlight the data collection process as a subject of our concern, the phases that describe the stages of the data collection are illustrated. These phases consist of three successive stages: discovery, data transfer, and routing. To sum up, the most recent approaches for developing the process of data collection in multiple-source WSNs are also presented.</p>

scholarly journals Distributed and morphological operation-based data collection algorithm

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771759 ◽  
Author(s):  
Yalin Nie ◽  
Haijun Wang ◽  
Yujie Qin ◽  
Zeyu Sun
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Network Lifetime ◽  
Algorithm Analysis ◽  
Wireless Sensor ◽  
Morphological Operation ◽  
Event Monitoring ◽  
Binary Images ◽  
Structuring Element

When monitoring the environment with wireless sensor networks, the data sensed by the nodes within event backbone regions can adequately represent the events. As a result, identifying event backbone regions is a key issue for wireless sensor networks. With this aim, we propose a distributed and morphological operation-based data collection algorithm. Inspired by the use of morphological erosion and dilation on binary images, the proposed distributed and morphological operation-based data collection algorithm calculates the structuring neighbors of each node based on the structuring element, and it produces an event-monitoring map of structuring neighbors with less cost and then determines whether to erode or not. The remaining nodes that are not eroded become the event backbone nodes and send their sensing data. Moreover, according to the event backbone regions, the sink can approximately recover the complete event regions by the dilation operation. The algorithm analysis and experimental results show that the proposed algorithm can lead to lower overhead, decrease the amount of transmitted data, prolong the network lifetime, and rapidly recover event regions.

scholarly journals Capacity of data collection in randomly-deployed wireless sensor networks

2010 ◽  
Vol 17 (2) ◽  
pp. 305-318 ◽  
Author(s):  
Siyuan Chen ◽  
Yu Wang ◽  
Xiang-Yang Li ◽  
Xinghua Shi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
Wireless Sensor
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