DocumentCode
272131
Title
Energy Optimization in Redundant WSNs under Deterministic and Probabilistic Sensing Models
Author
DianeÌ, 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