Data aggregation in Wireless Sensor Networks: Compressing or Forecasting? - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2014

Data aggregation in Wireless Sensor Networks: Compressing or Forecasting?

Abstract

Data aggregation is a key problem in wireless sen- sor networks due to both energy-constrained and bandwidth- constrained. In this paper, we highlight the aggregation benefits in network layer and MAC layer by modeling the energy consumption for some energy-efficient routing protocols and MAC protocols. Besides, we define two parameters, aggregation ratio w and packet size coefficient λ, to evaluate the efficiency of an aggregation method, and we discuss their trade-off. Additionally, we propose comparison between A-ARMA and compressive sensing, which are on behalf of the state-of- the-art forecasting aggregation and compressing aggregation respectively.
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Dates and versions

hal-01003835 , version 1 (10-06-2014)

Identifiers

  • HAL Id : hal-01003835 , version 1

Cite

Jin Cui, Fabrice Valois. Data aggregation in Wireless Sensor Networks: Compressing or Forecasting?. WCNC - IEEE Wireless Communications and Networking Conference, Apr 2014, Istanbul, Turkey. ⟨hal-01003835⟩
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