A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 6 Issue 1
Jan.  2019

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 7.847, Top 10% (SCI Q1)
    CiteScore: 13.0, Top 5% (Q1)
    Google Scholar h5-index: 64, TOP 7
Turn off MathJax
Article Contents
Zhengguo Sheng, Saskia Pfersich, Alice Eldridge, Jianshan Zhou, Daxin Tian and Victor C. M. Leung, "Wireless Acoustic Sensor Networks and Edge Computing for Rapid Acoustic Monitoring," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 64-74, Jan. 2019. doi: 10.1109/JAS.2019.1911324
Citation: Zhengguo Sheng, Saskia Pfersich, Alice Eldridge, Jianshan Zhou, Daxin Tian and Victor C. M. Leung, "Wireless Acoustic Sensor Networks and Edge Computing for Rapid Acoustic Monitoring," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 64-74, Jan. 2019. doi: 10.1109/JAS.2019.1911324

Wireless Acoustic Sensor Networks and Edge Computing for Rapid Acoustic Monitoring

doi: 10.1109/JAS.2019.1911324
More Information
  • Passive acoustic monitoring is emerging as a promising solution to the urgent, global need for new biodiversity assessment methods. The ecological relevance of the soundscape is increasingly recognised, and the affordability of robust hardware for remote audio recording is stimulating international interest in the potential for acoustic methods for biodiversity monitoring. The scale of the data involved requires automated methods, however, the development of acoustic sensor networks capable of sampling the soundscape across time and space and relaying the data to an accessible storage location remains a significant technical challenge, with power management at its core. Recording and transmitting large quantities of audio data is power intensive, hampering long-term deployment in remote, off-grid locations of key ecological interest. Rather than transmitting heavy audio data, in this paper, we propose a low-cost and energy efficient wireless acoustic sensor network integrated with edge computing structure for remote acoustic monitoring and in situ analysis. Recording and computation of acoustic indices are carried out directly on edge devices built from low noise primo condenser microphones and Teensy microcontrollers, using internal FFT hardware support. Resultant indices are transmitted over a ZigBee-based wireless mesh network to a destination server. Benchmark tests of audio quality, indices computation and power consumption demonstrate acoustic equivalence and significant power savings over current solutions.

     

  • loading
  • [1]
    A. Gasc, J. Sueur, S. Pavoine, R. Pellens, and P. Grandcolas, "Biodiversity sampling using a global acoustic approach: contrasting sites with microendemics in new caledonia, " PLoS One, vol. 8, no. 5, e65311, 2013. doi: 10.1371/journal.pone.0065311
    [2]
    J. Sueur and A. Farina, "Ecoacoustics: The ecological investigation and interpretation of environmental sound, " Biosemiotics, vol. 8, no. 3, pp. 493-502, 2015. doi: 10.1007/s12304-015-9248-x
    [3]
    N. Correia, D. Sacramento, and G. Schutz, "Dynamic aggregation and scheduling in coap/observe-based wireless sensor networks, " IEEE Internet of Things Journal, vol. 3, no. 6, pp. 923-936, Dec. 2016.
    [4]
    M. F. Brejza, L. Li, R. G. Maunder, B. M. Al-Hashimi, C. Berrou, and L. Hanzo, "20 years of turbo coding and energy-aware design guidelines for energy-constrained wireless applications, " IEEE Communications Surveys Tutorials, vol. 18, no. 1, pp. 8-28, 2016. doi: 10.1109/COMST.2015.2448692
    [5]
    Z. Sheng, H. Wang, C. Yin, X. Hu, S. Yang, and V. C. M. Leung, "Lightweight management of resource-constrained sensor devices in internet of things, " IEEE Internet of Things Journal, vol. 2, no. 5, pp. 402-411, Oct. 2015.
    [6]
    D. Goulson, A Sting in the Tale. Random House, 2016.
    [7]
    A. Eldridge, M. Casey, P. Moscoso, and M. Peck, "A new method for ecoacoustics? Toward the extraction and evaluation of ecologicallymeaningful soundscape components using sparse coding methods, " Peer J, vol. 4, e2108, 2016. doi: 10.7717/peerj.2108
    [8]
    R. S. Rempel, K. A. Hobson, G. Holborn, S. L. Van Wilgenburg, and J. Elliott, "Bioacoustic monitoring of forest songbirds: interpreter variability and effects of configuration and digital processing methods in the laboratory, " Journal of Field Ornithology, vol. 76, no. 1, pp. 1-11, 2005. doi: 10.1648/0273-8570-76.1.1
    [9]
    N. Pieretti, A. Farina, and D. Morri, "A new methodology to infer the singing activity of an avian community: the acoustic complexity index (aci), " Ecological Indicators, vol. 11, no. 3, pp. 868-873, 2011. doi: 10.1016/j.ecolind.2010.11.005
    [10]
    A. Gasc, J. Sueur, F. Jiguet, V. Devictor, P. Grandcolas, C. Burrow, M. Depraetere, and S. Pavoine, "Assessing biodiversity with sound: Do acoustic diversity indices reflect phylogenetic and functional diversities of bird communities?" Ecological Indicators, vol. 25, pp. 279-287, 2013. doi: 10.1016/j.ecolind.2012.10.009
    [11]
    M. Depraetere, S. Pavoine, F. Jiguet, A. Gasc, S. Duvail, and J. Sueur, "Monitoring animal diversity using acoustic indices: implementation in a temperate woodland, " Ecological Indicators, vol. 13, no. 1, pp. 46-54, 2012. doi: 10.1016/j.ecolind.2011.05.006
    [12]
    B. M. Napoletano, "Integrating biophony into biodiversity measurement and assessment, " Ecoacoustics: The Ecological Role of Sounds, pp. 169, 2017. doi: 10.1002/9781119230724.ch10/summary
    [13]
    Z. Sheng, S. Yang, Y. Yu, A. V. Vasilakos, J. A. Mccann, and K. K. Leung, "A survey on the ietf protocol suite for the internet of things: standards, challenges, and opportunities, " IEEE Wireless Communications, vol. 20, no. 6, pp. 91-98, Dec. 2013.
    [14]
    I. Lee and K. Lee, "The internet of things (iot): applications, investments, and challenges for enterprises, " Business Horizons, vol. 58, no. 4, pp. 431-440, 2015. doi: 10.1016/j.bushor.2015.03.008
    [15]
    F. Zhao, L. J. Guibas, and L. Guibas, Wireless Sensor Networks: an Information Processing Approach. Morgan Kaufmann, 2004.
    [16]
    W. Dargie and C. Poellabauer, Fundamentals of Wireless Sensor Networks: Theory and Practice. John Wiley & Sons, 2010.
    [17]
    A. Cerpa and D. Estrin, "Ascent: Adaptive self-configuring sensor networks topologies, " in Proc. INFOCOM 21st Annu. Joint Conf. IEEE Computer and Communications Societies. vol. 3. 2002, pp. 1278-1287.
    [18]
    K. L. Mills, "A brief survey of self-organization in wireless sensor networks, " Wireless Communications and Mobile Computing, vol. 7, no. 7, pp. 823-834, 2007. doi: 10.1002/(ISSN)1530-8677
    [19]
    G. J. Pottie and W. J. Kaiser, "Wireless integrated network sensors, " Communications of the ACM, vol. 43, no. 5, pp. 51-58, 2000. doi: 10.1145/332833.332838
    [20]
    J. Porter, P. Arzberger, H.-W. Braun, P. Bryant, S. Gage, T. Hansen, P. Hanson, C.-C. Lin, F.-P. Lin, T. Kratz, et al., "Wireless sensor networks for ecology, " AIBS Bulletin, vol. 55, no. 7, pp. 561-572, 2005. http://d.old.wanfangdata.com.cn/OAPaper/oai_doaj-articles_b54d3d1089230bf62a94d1e5d128f92e
    [21]
    S. L. Collins, L. M. Bettencourt, A. Hagberg, R. F. Brown, D. I. Moore, G. Bonito, K. A. Delin, S. P. Jackson, D. W. Johnson, S. C. Burleigh et al., "New opportunities in ecological sensing using wireless sensor networks, " Frontiers in Ecology and the Environment, vol. 4, no. 8, pp. 402-407, 2006. doi: 10.1890/1540-9295(2006)4[402:NOIESU]2.0.CO;2
    [22]
    C. wa Maina, "Audio diarization for biodiversity monitoring, " in Proc. 12th IEEE Africon International Conference-Green Innovation for African Renaissance, 2015, pp. 1-5.
    [23]
    W. H. Petraborg, E. G. Wellein, and V. E. Gunvalson, "Roadside drumming counts a spring census method for ruffed grouse, " The Journal of Wildlife Management, vol. 17, no. 3, pp. 292-295, 1953. doi: 10.2307/3797109
    [24]
    D. C. Marvin, L. P. Koh, A. J. Lynam, S. Wich, A. B. Davies, R. Krishnamurthy, E. Stokes, R. Starkey, and G. P. Asner, "Integrating technologies for scalable ecology and conservation, " Global Ecology and Conservation, vol. 7, pp. 262-275, 2016. doi: 10.1016/j.gecco.2016.07.002
    [25]
    A. Thessen, "Adoption of machine learning techniques in ecology and earth science, " One Ecosystem, vol. 1, e8621, 2016. doi: 10.3897/oneeco.1.e8621
    [26]
    R. Bardeli, D. Wolff, F. Kurth, M. Koch, K.-H. Tauchert, and K.-H. Frommolt, "Detecting bird sounds in a complex acoustic environment and application to bioacoustic monitoring, " Pattern Recognition Letters, vol. 31, no. 12, pp. 1524-1534, 2010. doi: 10.1016/j.patrec.2009.09.014
    [27]
    A. Farina and N. Pieretti, "Sonic environment and vegetation structure: a methodological approach for a soundscape analysis of a mediterranean maqui, " Ecological Informatics, vol. 21, pp. 120-132, 2014. doi: 10.1016/j.ecoinf.2013.10.008
    [28]
    A. Gasc, S. Pavoine, L. Lellouch, P. Grandcolas, and J. Sueur, "Acoustic indices for biodiversity assessments: analyses of bias based on simulated bird assemblages and recommendations for field surveys, " Biological Conservation, vol. 191, pp. 306-312, 2015. doi: 10.1016/j.biocon.2015.06.018
    [29]
    A. Eldridge, P. Guyot, P. Moscoso, A. Johnston, Y. Eyre-Walker, and M. Peck, "Sounding out ecoacoustic metrics: avian species richness is predicted by acoustic indices in temperate but not tropical habitats, " Ecological Indicators, vol. 95, pp. 939-952, 2018. doi: 10.1016/j.ecolind.2018.06.012
    [30]
    A. Farina, N. Pieretti, and L. Piccioli, "The soundscape methodology for long-term bird monitoring: A mediterranean europe case-study, " Ecological Informatics, vol. 6, no. 6, pp. 354-363, 2011. doi: 10.1016/j.ecoinf.2011.07.004
    [31]
    N. Instruments, "National instrument fundamentals, "[Online]. Available: http://download.ni.com/evaluation/pxi/Understanding%20FFTs%20and%20Windowing.pdf, Accessed on: Dec. 30, 2016.
    [32]
    R. C. Whytock and J. Christie, "Solo: an open source, customizable and inexpensive audio recorder for bioacoustic research, " Methods in Ecology and Evolution, vol. 8, no. 3, pp. 308-312, 2017. doi: 10.1111/2041-210X.12678
    [33]
    Solo, "Solo, "[Online]. Available: http://solo-system.github.io/home.html, Accessed on: Dec. 23, 2017.
    [34]
    S. Explorer, "Soundscape explorer, "[Online]. Available: http://iinsteco.org/soundscape_explorer/, Accessed on: Jan. 14, 2017.
    [35]
    I. Wildlife Acoustics, "Wildlife acoustics, "[Online]. Available: https://www.wildlifeacoustics.com/products/song-meter-sm3, Accessed on: Jan. 14, 2017.
    [36]
    A. E. Media, "Arm developer, "[Online]. Available: https://developer.arm.com/academia/armedumedia/online-courses/digital-signal-processing, Accessed on: Jan. 1, 2017.
    [37]
    ARM, "Arm, "[Online]. Available: http://infocenter.arm.com/help/topic/com.arm.doc.ddi0439b/DDI0439B_cortexm4_r0p0_trm.pdf, Accessed on: Dec. 22, 2009.
    [38]
    Adafruit, "Introducing the adafruit bluefruit le uart friend, "[Online]. Available: https://learn.adafruit.com/introducing-the-adafruit-bluefruit-le-uart-friend/downloads, Accessed on: Sep. 29, 2016.
    [39]
    PJRC, "Pjrc, "[Online]. Available: https://www.pjrc.com/teensy/td_libs_XBee.html, Accessed on: Jan. 1, 2017.
    [40]
    Digi, "Xbee/xbee-pro digimesh 2.4, "[Online]. Available: https://www.digi.com/resources/documentation/digidocs/pdfs/90001506.pdf, Accessed on: Jan. 1, 2017.
    [41]
    R. Faludi, Building Wireless Sensor Networks: with ZigBee, XBee, Arduino, and Processing. O'Reilly Media, Inc., 2010.
    [42]
    Digi, "Digi xbee digimesh 2.4, "[Online]. Available: https://www.digi.com/products/xbee-rf-solutions/2-4-ghz-modules/xbee-digimesh-2-4#specifications, Accessed on: Jan. 1, 2017.
    [43]
    PJRC, "Pjrc, "[Online]. Available: https://www.pjrc.com/store/teensy3_audio.html, Accessed on: July 21, 2017.
    [44]
    F. C. Ltd, "Fel communications ltd microphone amplifiers, "[Online]. Available: http://www.micbooster.com/documents/EM172Z1%20July%202015.pdf, Accessed on: July 1, 2015.
    [45]
    P. Guyot, "Acoustic indices, "[Online]. Available: https://github.com/sandoval31/Acoustic_Indices, Accessed on: Mar. 5, 2017.
    [46]
    G. v. Rossum, "Comparing python to other languages, "[Online]. Available: https://www.python.org/doc/essays/comparisons/, Accessed on: Jan. 1, 2017.
    [47]
    L. Prechelt, "An empirical comparison of seven programming languages, " Computer, no. 10, pp. 23-29, 2000. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=4c0c3e51bd319e66619885d003c876a0
    [48]
    M. Fourment and M. R. Gillings, "A comparison of common programming languages used in bioinformatics, " BMC Bioinformatics, vol. 9, no. 1, pp. 82, 2008. http://d.old.wanfangdata.com.cn/OAPaper/oai_doaj-articles_3b1146388986d1e2b7eb9d911783e1bc
    [49]
    A. Huang, "Comparison of programming performance: Promoting stem and computer science education, " in Integrated STEM Education Conference (ISEC), 2015, pp. 123-125.
    [50]
    W. Zhang, Y. Wen, K. Guan, D. Kilper, H. Luo, and D. O. Wu, "Energyoptimal mobile cloud computing under stochastic wireless channel, " IEEE Transactions on Wireless Communications, vol. 12, no. 9, pp. 4569-4581, Sept. 2013.
    [51]
    Z. Sheng, C. Mahapatra, V. C. M. Leung, M. Chen, and P. K. Sahu, "Energy efficient cooperative computing in mobile wireless sensor networks, " IEEE Transactions on Cloud Computing, vol. 6, no. 1, pp. 114-126, Jan. 2018.
    [52]
    J. M. Rabaey, A. P. Chandrakasan, and B. Nikolic, Digital Integrated Circuits. Prentice Hall Englewood Cliffs, 2002, vol. 2.
    [53]
    J. Lee and N. Jindal, "Delay constrained scheduling over fading channels: Optimal policies for monomial energy-cost functions, " in Proc. IEEE Int. Conf. Communications, June 2009, pp. 1- 5.
    [54]
    A. P. Miettinen and J. K. Nurminen, "Energy efficiency of mobile clients in cloud computing, " in Proc. 2nd USENIX Conference on Hot Topics in Cloud Computing, ser. HotCloud'10. Berkeley, CA, USA: USENIX Association, 2010, pp. 4.[Online]. Available: http://dl.acm.org/citation.cfm?id=1863103.1863107
    [55]
    M. Kooijman, Building Wireless Sensor Networks Using Arduino. Packt Publishing Ltd, 2015.
    [56]
    Github, "Teensy low power library: Snooze v6.3.2, "[Online]. Available: https://github.com/duff2013/Snooze, Accessed on: July 21, 2018.
    [57]
    PJRC, "Pjrc, "[Online]. Available: https://www.pjrc.com/store/teensy3_audio.html, Accessed on: July 21, 2017.
    [58]
    X. Liu, Z. Sheng, C. Yin, F. Ali, and D. Roggen, "Performance analysis of routing protocol for low power and lossy networks (RPL) in large scale networks, " IEEE Internet of Things Journal, vol. 4, no. 6, pp. 2172-2185, 2017. doi: 10.1109/JIOT.2017.2755980
    [59]

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(2)

    Article Metrics

    Article views (2311) PDF downloads(55) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return