DocumentCode :
272131
Title :
Energy Optimization in Redundant WSNs under Deterministic and Probabilistic Sensing Models
Author :
Diané, I. ; Kacimi, R. ; Mammeri, Z. ; Niang, I.
Author_Institution :
IRIT, Univ. of Toulouse, Toulouse, France
fYear :
2014
fDate :
14-17 Sept. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Almost all WSNs are deployed with some redundancy degree which is used only for robustness objectives. If not handled in an intelligent way, redundancy results in energy wasting because of redundant transmission and reception operations. In view of this energy wasting, a redundancy detection method under sensing models is proposed. We propose to take benefit from measurement redundancy to optimize the energy consumption and improve the end-to-end delay. We propose OER (Optimization of Energy based on Redundancy) protocol, to improve energy consumption in WSNs.
Keywords :
energy consumption; optimisation; probability; protocols; redundancy; synchronisation; telecommunication power management; wireless sensor networks; OER protocol; WSN; deterministic sensing models; end-to-end delay; energy consumption; energy optimization; energy wasting; measurement redundancy; optimization of energy based on redundancy; probabilistic sensing models; reception operations; redundancy degree; redundancy detection method; redundant transmission operations; wireless sensor network; Delays; Energy consumption; Probabilistic logic; Protocols; Redundancy; Sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
Conference_Location :
Vancouver, BC
Type :
conf
DOI :
10.1109/VTCFall.2014.6965959
Filename :
6965959
Link To Document :
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