DocumentCode
594011
Title
Optimum power allocation for Amplify-and-Forward cooperation strategy in WSN
Author
Abdellaoui, S.E. ; Fakhri, Youssef ; Aboutajdine, Driss
Author_Institution
LRIT, Univ. Mohammed V-Agdal, Rabat, Morocco
fYear
2012
fDate
18-20 Sept. 2012
Firstpage
230
Lastpage
234
Abstract
Energy is an extremely limited resource in wireless sensor networks (WSNs). Thereby, various power management strategies have been proposed to reduce the quantity of consumed energy. In this article, the aim of our approach is to provide the optimal transmission power in order to maximize the network lifetime using the orthogonal channels and taking into account a Symbol Error Rate (SER) constraint at the Fusion Center (FC). In order to analyze our approach, we will first study the case where the information passes by a single relay to reach the destination creating several boughs. We call this case “virtual mimo with a single relay”. Second, we will consider a specific case with a single bough and several relays and then generalize a global case with several relays and several boughs. In addition, we suppose that a Maximum Ratio Combining (MRC) is used by the receiver as a detector, and Amplify and Forward (AF) is used as a relaying strategy where the channel gain coefficients are known. Simulation results show the viability of our approach.
Keywords
MIMO communication; amplify and forward communication; diversity reception; telecommunication channels; wireless sensor networks; MRC; SER constraint; WSN; amplify-and-forward cooperation strategy; channel gain coefficients; fusion center; maximum ratio combining; optimal transmission power; optimum power allocation; power management strategies; relaying strategy; relays; symbol error rate; virtual MIMO; wireless sensor networks; Equations; MIMO; Relays; Resource management; Sensors; Signal to noise ratio; Wireless sensor networks; Am plify-and-Forward; Cooperation Communication; Energy-Efficiency; MIMO Cooperative; Optimal Power Allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Technology (INTECH), 2012 Second International Conference on
Conference_Location
Casablanca
Print_ISBN
978-1-4673-2678-0
Type
conf
DOI
10.1109/INTECH.2012.6457761
Filename
6457761
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