Data aggregation in wireless sensor networks: Compressing or forecasting?

Data aggregation is a key problem in wireless sensor 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...

Full description

Saved in:
Bibliographic Details
Main Authors: Jin Cui, Valois, Fabrice
Format: Conference Proceeding
Language:English
Subjects:
compressive sensing
Correlation
data aggregation
Energy consumption
Media Access Protocol
Routing
Routing protocols
temporal series
wireless sensor network
Wireless sensor networks
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Data aggregation is a key problem in wireless sensor 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.
ISSN:1525-3511
1558-2612
DOI:10.1109/WCNC.2014.6952909