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

ABSTRACT

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.

Download full-text

Full-text

Available from: Anna Förster
  • Source
    • "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, and flexibility [13] [14]. Indeed, most of the existing commercial node architectures provide little flexibility, configurability, and the absence of interoperability among them. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Health monitoring is nowadays one of the hottest markets due to the increasing interest in prevention and treatment of physical problems. In this context the development of wearable, wireless, open-source, and nonintrusive sensing solutions is still an open problem. Indeed, most of the existing commercial architectures are closed and provide little flexibility. In this paper, an open hardware architecture for designing a modular wireless sensor node for health monitoring is proposed. By separating the connection and sensing functions in two separate boards, compliant with the IEEE1451 standard, we add plug and play capabilities to analog transducers, while granting at the same time a high level of customization. As an additional contribution of the work, we developed a cosimulation tool which simplifies the physical connection with the hardware devices and provides support for complex systems. Finally, a wireless body area network for fall detection and health monitoring, based on wireless node prototypes realized according to the proposed architecture, is presented as an application scenario.
    Full-text · Article · Jan 2016 · Journal of Sensors
  • Source
    • "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] "
    [Show abstract] [Hide abstract]
    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.
    Full-text · Article · Mar 2015
  • Source
    • "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. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Most of the existing commercial node architectures provide little flexibility and configurability. This limitation constrains the usability of the same node across various applications, including the ambient intelligence issue. In this paper a novel architecture for the design of a modular wireless sensor node is proposed, dividing the connection and sensing functions in two separate boards. The division of the wireless transducer interface module (WTIM) in two independent boards allows to perform in a separate way the connection and sensor interfacing function of the WTIM always respecting IEEE 1451 standards. The versatility of the novel architecture has been tested in two different application scenarios. In the first application the modular node has been used in a factory to monitor the efficiency and reliability of the production line. The designed node has been experimentally tested and results shown. Concerning the second application, a smart home approach is proposed. Using different sensing boards, an architecture to monitor in a non-invasive way several home parameters has been presented.
    Full-text · Conference Paper · Sep 2014
Show more