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Classification of Data Aggregation Functions in Wireless Sensor Networks

Abstract : 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.
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https://hal.inria.fr/hal-02751372
Contributor : Fabrice Valois <>
Submitted on : Wednesday, June 3, 2020 - 5:48:08 PM
Last modification on : Thursday, May 20, 2021 - 3:25:59 AM

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Jin Cui, Khaled Boussetta, Fabrice Valois. Classification of Data Aggregation Functions in Wireless Sensor Networks. Computer Networks, Elsevier, 2020, pp.1-13. ⟨10.1016/j.comnet.2020.107342⟩. ⟨hal-02751372⟩

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