DocumentCode :
711067
Title :
C20. Energy consumption and lifetime analysis for Wireless Sensor Networks
Author :
Abo-Zahhad, Mohammed ; Farrag, Mohammed ; Ali, Abdelhay ; Amin, Osama
Author_Institution :
Fac. of Eng., Assiut Univ., Assiut, Egypt
fYear :
2015
fDate :
24-26 March 2015
Firstpage :
268
Lastpage :
276
Abstract :
Energy consumption and energy modeling are important issues in designing and implementing of Wireless Sensor Networks (WSNs), which help the designers to optimize the energy consumption in WSN nodes. Good knowledge of the sources of energy consumption in WSNs is the first step to reduce energy consumption. Therefore, an accurate energy model is required for the evaluation of communication protocols. In this paper, we present an energy analysis technique for WSNs considering the physical layer parameters by determining the energy consumed per payload bit transferred without error over AWGN channel. We show how the transmission power must be chosen in order to achieve energy-efficient communications over AWGN channel and provide a closed-form expression for optimum transmission power. We also find that, for each modulation scheme, there are optimal transmission power at which the energy consumption is minimized. The proposed model can be used to analyse the WSNs energy consumption, to evaluate communication protocols, and it can also use to estimate energy consumption and network lifetime which used for on-line energy accounting.
Keywords :
AWGN channels; energy conservation; energy consumption; modulation; optimisation; protocols; telecommunication power management; wireless sensor networks; AWGN channel; WSN energy consumption; WSN nodes; communication protocols; energy analysis technique; energy modeling; energy-efficient communications; lifetime analysis; modulation scheme; network lifetime; on-line energy accounting; optimal transmission power; optimum transmission power; wireless sensor networks; Payloads; Energy Consumption Model; Lifetime; Minimum Energy Consumption; Optimal Transmit Power; Physical layer; Wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio Science Conference (NRSC), 2015 32nd National
Conference_Location :
6th of October City
Print_ISBN :
978-1-4799-9945-3
Type :
conf
DOI :
10.1109/NRSC.2015.7117839
Filename :
7117839
Link To Document :
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