Frequency Filtering Approach for Data Aggregation in Periodic Sensor Networks

Jacques Bahi (1) , Abdallah Makhoul (1) , Maguy Medlej (1)

1 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

This paper presents an energy-efficient technique for data aggregation in periodic sensor networks. We investigate the problem of finding all pairs of nodes generating similar data sets such that similarity between each pair of sets is above a threshold t. We provide a frequency filtering approach to solve this problem. Our experiments demonstrate that our algorithm outperforms existing prefix filtering methods in reducing energy consumption.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]; Cryptographie et sécurité [cs.CR]; Modélisation et simulation

Jacques Bahi, Abdallah Makhoul, Maguy Medlej. Frequency Filtering Approach for Data Aggregation in Periodic Sensor Networks. NOMS 2012, 13-th IEEE/IFIP Network Operations and Management Symposium, Jan 2012, France. pp.570 - 573. ⟨hal-00940111⟩