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Energy Efficiency
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AI
DOI：10.1007/978-3-662-57277-1_11.png)
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Abstract
En 中文
The work presented in this chapter focuses on the impact of sensor node parameters on the lifetime of the battery. Electrochemical discharge characteristics of the battery viz. rate capacity effect and recovery effect play the vital role in efficient discharge of the battery. An improper selection of the sensor node parameters viz. sampling interval and transmission power level of the data packets will lead to pronounced effects of rate capacity and recovery effect. These, in turn, will lead to premature exhaustion of the battery. Two algorithms are designed to find the optimum sampling interval and optimum transmission power level which would minimize the rate capacity and recovery effect of the battery. Experimental results have shown an increase of 18 and 22% improvement in the lifetime of the battery with optimum sampling interval and optimum transmission power level of data packets respectively. However, by using the optimum sampling interval and optimum transmission power level, the achieved improvement in the lifetime of the battery is 35.14%. Further, a thorough investigation is carried out to analyze the effect of ambient temperature on the sensor node. To circumvent the premature death of the battery at colder temperature, the data compression and optimum sampling interval strategies have been adopted. The improvement in the lifetime is found to be 24.81%.
Keywords:
WIRELESS SENSOR NETWORKS
LIFETIME MAXIMIZATION
MAXIMIZING LIFETIME
SINK
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