Classification of data aggregation functions in wireless sensor networks

Data aggregation is an effective traffic-saving solution in Wireless Sensor Networks. A group of aggregation functions are proposed to save traffic and network capacity, thereby extending network lifetime. While when given an application and a target accuracy, how to select an appropriate function i...

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Bibliographic Details
Published in:Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2020-09, Vol.178, p.107342-13, Article 107342
Main Authors: Cui, Jin, Boussetta, Khaled, Valois, Fabrice
Format: Article
Language:English
Subjects:
Accuracy
Agglomeration
Classification
Computer Science
Data aggregation
Data management
Error estimation
Markov decision process
Markov processes
Networking and Internet Architecture
Performance evaluation
Traffic capacity
Wireless networks
Wireless sensor network
Wireless sensor networks
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Summary:Data aggregation is an effective traffic-saving solution in Wireless Sensor Networks. A group of aggregation functions are proposed to save traffic and network capacity, thereby extending network lifetime. While when given an application and a target accuracy, how to select an appropriate function is not well being discussed. Considering the forecasting aggregation functions, we propose classification of the functions to guild how to select the appropriate one. Using target accuracy (the accuracy requirement predefined by the application), the distribution of raw data and performance of the functions (modeled by a Markov Decision Process), we classify the functions into a map, that shows which function performs better depending on target accuracy and the characterized data distribution.
ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2020.107342