Conference Paper

Sensor node lifetime: An experimental study

Networking Lab., Univ. of Appl. Sci. of Southern Switzerland, Manno, Switzerland
DOI: 10.1109/PERCOMW.2011.5766869 Conference: Pervasive Computing and Communications Workshops (PERCOM Workshops), 2011 IEEE International Conference on
Source: IEEE Xplore


Node lifetime is a key performance metric in wireless sensor network (WSN) research. Simplistic assumptions and naïve lifetime estimation techniques invariably prove to be extremely unreliable in practice, to the point that premature battery depletion notoriously affects real-world deployments. In this paper we adopt an experimental approach and employ various types of real-world batteries to determine the actual lifespan of a sensor node under common operating conditions. We present a rich set of results from an extensive experimental campaign based on the widely used TelosB platform running TinyOS. We have measured the actual node lifetime using various brands of commercial batteries as a function of different combinations of application parameters. Some of our observations match previously published results that are often neglected, while others underscore less known properties of low-power radios.


Available from: Anna Förster
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    • "The battery's lifetime is calculated for parameters with different combinations. This gives a clear idea about a battery's lifetime in various environments and also about its depletion rate [10] "
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    ABSTRACT: ABSTRACT Base Station (BS) location and physical topology of a network play an important role in a Wireless Sensor Networks (WSN) because the BS position governs the lifetime of networks. Optimizing the topology reduces the issues that arise due to the location of the destination node. During network formation, some nodes have tends to have that have longer distance to BS. In this case, data has to travel a longer distance to reach a BS. The node failure in WSN occurs majorly due to the exhaustion of the battery and replacing this is a difficult task. Therefore, these long transmissions have effects on network’s lifetime by wasting node’s energy. This can be overcome by relocating the BS using a clustered WSN. This proposed approach discussed about all possible locations to find the optimal position of BS in Low energy Aware Clustering hierarchy (LEACH) which is an energy-efficient protocol and shows the effects of BS Location in the WSN and the obtained results are compared with the original Leach and Leach-B Keywords: wireless sensor networks (WSN), sink relocation, lifetime, protocol, battery exhaustion.
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    • "These nodes, establishing a wireless link, collaborate with each other to execute application tasks. The main obstacles to the spread diffusion of this technology are mainly represented by communication issues (in terms of reliability and latency), power supply issues (nodes battery powered need the lowest power consumption possible) and flexibility [8], [9]. While on one hand this technology offer to users the dream of a high flexibility level sensor network, in the practice there are various constraints that move the dream far away from reality. "
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    • "[7] a thorough study of sensor node life time under basic duty cycling assumptions is performed. The hardware platform of choice is the TelosB running a communicate-store-sleep routine implemented in TinyOS. "
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    ABSTRACT: Wireless sensor networks are currently being deployed over a vast array of applications to collect, process and reliably transmit data from a source event to a data sink. This in turn requires reliable power supply, mainly in the form of primary or secondary batteries storing energy to supply the various functional discrete components along with accurate prediction of sensor node life time, based on estimated state of charge of the energy source. The paper presents two approaches for energy modeling of sensor node life time in ambient monitoring scenarios concerned with periodical sampling of measurable parameters from the indoor environment. The analytical approach involves modeling the individual components of a sensor node and carrying out simulations in different dutycycling regimes to obtain an expected life time. Experimental modeling has also been carried out over short and medium term repeatable deployments in order to gather meaningful sets of data suitable for statistical interpretation. Battery discharge characteristics are determined in order to extract high level information used in system design for indoor ambient monitoring. final goal is to incorporate validated experimental results back into simulation approaches and enable a prediction framework for the Memsic IRIS XM2110 motes in order to approach the direct and inverse problem: accurately determine node life time for various sampling and communication regimes or choose optimal configuration parameters for an imposed node life time.
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