Classification of Data Aggregation Functions in Wireless Sensor Networks - Centre of Innovation in Telecommunications and Integration of services Accéder directement au contenu
Article Dans Une Revue Computer Networks Année : 2020

Classification of Data Aggregation Functions in Wireless Sensor Networks

Résumé

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.
Fichier non déposé

Dates et versions

hal-02751372 , version 1 (03-06-2020)

Identifiants

Citer

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

Altmetric

Partager

Gmail Facebook X LinkedIn More