Table 1 - uploaded by Thomas Menzel
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Battery Types which are used in this work 

Battery Types which are used in this work 

Source publication
Conference Paper
Full-text available
Indicating the imminent battery depletion of wireless sensor nodes is beneficial for many applications. But corresponding depth of discharge estimation approaches are either complex, constraint or rather imprecise. We present, implement and evaluate a novel approach which is to observe the battery’s overpotential - the change of the voltage under a...

Context in source publication

Context 1
... use different types of batteries with different nominal voltages and ca- pacities as shown in Table 1. While it is sufficient to use a single LiIon cell, Alkaline and the NiMH batteries are used pairwise in order to obtain a voltage level usable for the Tmote Sky. ...

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Citations

... The limited energy of the battery is an important factor in determining the lifespan of a sensor network. A number of papers [1][2][3][4][5] in the area of WSNs have proposed a system configuration and routing scheme in consideration of the residual energy in a sensor system. For example, information about residual energy can be employed in system-level maximization, such as the duty cycle control or transmission-range control, as well as in network-level maximization, such as energy-aware routing schemes. ...
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A number of studies have been actively conducted to address limited energy resources in sensor systems over wireless sensor networks. Most of these studies are based on energy-aware schemes, which take advantage of the residual energy from the sensor system’s own or neighboring nodes. However, existing sensor systems estimate residual energy based solely on voltage and current consumption, leading to inaccurate estimations because the residual energy in real batteries is affected by temperature and load. This misinformation makes a complete nonsense of existing energy-aware research, which is not allowed in reliable WSN applications. In this study, therefore, an efficient residual-energy estimation scheme is proposed in consideration of not only the voltage but also the temperature and load characteristics of batteries. The performance of the proposed scheme was verified through an experiment and simulations in the actual environment, and its effect gets more notable when the scale of the WSN goes larger.
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