A Waiting Time Determination Method to Merge Data on Distributed Sensor Data Stream Collection

2020 ◽  
pp. 41-50
Author(s):  
Tomoya Kawakami ◽  
Tomoki Yoshihisa ◽  
Yuuichi Teranishi
Keyword(s):  
Waiting Time ◽  
Data Stream ◽  
Sensor Data ◽  
Determination Method ◽  
Distributed Sensor ◽  
Time Determination

scholarly journals A Sensor Data Stream Collection Scheme Considering Phase Differences for Load Balancing

2021 ◽  
Vol 12 (2) ◽  
pp. 1-15
Author(s):  
Tomoya Kawakami ◽  
Tomoki Yoshihisa ◽  
Yuuichi Teranishi
Keyword(s):  
Data Streams ◽  
Data Stream ◽  
Sensor Data ◽  
The Internet ◽  
Distributed Sensor ◽  
Simulation Results ◽  
Continuous Sensor ◽  
The Internet Of Things ◽  
Collection Time ◽  
Phase Differences

In the internet of things (IoT), various devices (things) including sensors generate data and publish them via the internet. The authors define continuous sensor data with difference cycles as a sensor data stream and have proposed methods to collect distributed sensor data streams. In this paper, the authors describe a skip graph-based collection scheme for sensor data streams considering phase differences. In the proposed scheme considering phase differences, the collection time is balanced within each collection cycle by the phase differences, and the probability of load concentration to the specific time or node is decreased. The simulation results show that the proposed scheme can equalize the loads of nodes even if the distribution of collection cycles is not uniform.

Research on Sequence Query Processing Techniques over Data Streams

2013 ◽  
Vol 284-287 ◽  
pp. 3507-3511 ◽  
Author(s):  
Edgar Chia Han Lin
Keyword(s):  
Query Processing ◽  
Data Streams ◽  
Management System ◽  
Data Stream ◽  
Sensor Data ◽  
Data Management System ◽  
Content Filtering ◽  
Data Stream Management ◽  
Stream Management ◽  
Great Progress

Due to the great progress of computer technology and mature development of network, more and more data are generated and distributed through the network, which is called data streams. During the last couple of years, a number of researchers have paid their attention to data stream management, which is different from the conventional database management. At present, the new type of data management system, called data stream management system (DSMS), has become one of the most popular research areas in data engineering field. Lots of research projects have made great progress in this area. Since the current DSMS does not support queries on sequence data, this project will study the issues related to two types of data. First, we will focus on the content filtering on single-attribute streams, such as sensor data. Second, we will focus on multi-attribute streams, such as video films. We will discuss the related issues such as how to build an efficient index for all queries of different streams and the corresponding query processing mechanisms.

scholarly journals Correction to: Semantic annotation of summarized sensor data stream for effective query processing

2018 ◽  
Vol 76 (6) ◽  
pp. 4040-4040
Author(s):  
Shobharani Pacha ◽  
Suresh Ramalingam Murugan ◽  
R. Sethukarasi
Keyword(s):  
Query Processing ◽  
Data Stream ◽  
Semantic Annotation ◽  
Sensor Data
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