DocumentCode
3276652
Title
Optimal Transmission Range for Minimum Energy Consumption in Wireless Sensor Networks
Author
Zhang, Ruifeng ; Gorce, Jean-Marie
Author_Institution
ARES/INRIA Rhone-Alpes, Villeurbanne
fYear
2008
fDate
March 31 2008-April 3 2008
Firstpage
757
Lastpage
762
Abstract
Energy efficiency is a hot topic in Wireless Sensor Networks (WSNs) because of the limited power supply. Routing strategies have a major impact on total energy consumption of network. Long-hop routing strategies demand substantial transmission power but are capable of reducing energy consumed by relay nodes. Short-hop routing strategies are just the reverse. This paper explores how multi-hop routing strategies are more energy efficient for periodic monitoring applications. We propose an energy efficiency metric for periodic monitoring applications, referred to as the Energy Distance Ratio per bit (EDRb). The concept of unreliable links is integrated into the proposed energy model to take transmission errors into account. By minimizing EDRb, an optimal hop distance is obtained for which related parameters such as optimal transmission power, optimal signal noise ratio (SNR) and optimal bit error rate (BER) are found in Rayleigh fading environment. On the basis of the obtained optimal hop distance, the low bound of mean EDRb for multi- hop path is computed. Finally, theoretical results are compared to simulations. It is shown that the network´s lifetime can be extended significantly by optimizing the hop length in a classical routing scheme.
Keywords
Rayleigh channels; energy consumption; error statistics; minimisation; telecommunication network routing; wireless sensor networks; Rayleigh fading environment; energy distance ratio per bit minimization; minimum energy consumption; multihop routing strategy; optimal bit error rate; optimal signal noise ratio; optimal transmission power range; wireless sensor networks; Bit error rate; Energy consumption; Energy efficiency; Monitoring; Power supplies; Relays; Routing; Signal to noise ratio; Wireless sensor networks; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE
Conference_Location
Las Vegas, NV
ISSN
1525-3511
Print_ISBN
978-1-4244-1997-5
Type
conf
DOI
10.1109/WCNC.2008.139
Filename
4489170
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