Data Summarization in the Node by Parameters (DSNP): Local Data Fusion in an IoT Environment

被引:21
作者
Maschi, Luis F. C. [1 ]
Pinto, Alex S. R. [2 ]
Meneguette, Rodolfo I. [3 ]
Baldassin, Alexandro [1 ]
机构
[1] UNESP Univ Estadual Paulista, Inst Geosci & Exact Sci, Dept Stat Appl Math & Comp, BR-13506900 Rio Claro, Brazil
[2] Univ Fed Santa Catarina, Dept Informat & Stat, BR-88040900 Florianopolis, SC, Brazil
[3] Fed Inst Sao Paulo IFSP, Comp & Networking, BR-15808305 Catanduva, Brazil
关键词
data fusion; summarization; Internet of Things; IoT;
D O I
10.3390/s18030799
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
With the advent of the Internet of Things, billions of objects or devices are inserted into the global computer network, generating and processing data at a volume never imagined before. This paper proposes a way to collect and process local data through a data fusion technology called summarization. The main feature of the proposal is the local data fusion, through parameters provided by the application, ensuring the quality of data collected by the sensor node. In the evaluation, the sensor node was compared when performing the data summary with another that performed a continuous recording of the collected data. Two sets of nodes were created, one with a sensor node that analyzed the luminosity of the room, which in this case obtained a reduction of 97% in the volume of data generated, and another set that analyzed the temperature of the room, obtaining a reduction of 80% in the data volume. Through these tests, it has been proven that the local data fusion at the node can be used to reduce the volume of data generated, consequently decreasing the volume of messages generated by IoT environments.
引用
收藏
页数:15
相关论文
共 27 条
[1]  
Abdelgawad A, 2014, IEEE INT C NETW SENS, P334, DOI 10.1109/ICNSC.2014.6819648
[2]  
Abdelgawad A., 2012, Data Fusion in WSN, Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks, V118, P17
[3]   Data Fusion and IoT for Smart Ubiquitous Environments: A Survey [J].
Alam, Furqan ;
Mehmood, Rashid ;
Katib, Iyad ;
Albogami, Nasser N. ;
Albeshri, Aiiad .
IEEE ACCESS, 2017, 5 :9533-9554
[4]  
[Anonymous], 2013, PARALLEL ENCOUNTERS
[5]  
[Anonymous], 2003, S BRAS RED COMP SBRC
[6]  
[Anonymous], 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing ISSNIP
[7]  
Butler M, 2010, LECT NOTES COMPUT SC, V6234, P504, DOI 10.1007/978-3-642-15461-4_50
[8]  
Hall DL, 1997, P IEEE, V85, P6, DOI 10.1109/ISCAS.1998.705329
[9]  
Jalali S, 2013, 2013 IEEE RECENT ADVANCES IN INTELLIGENT COMPUTATIONAL SYSTEMS (RAICS), P210, DOI 10.1109/RAICS.2013.6745475
[10]   A Survey of Distributed Data Aggregation Algorithms [J].
Jesus, Paulo ;
Baquero, Carlos ;
Almeida, Paulo Sergio .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (01) :381-404