Wireless sensor network for habitat monitoring: A counting heuristic

Stattner, Erick; Vidot, Nicolas; Hunel, Philippe; Collard, Martine

doi:10.1109/lcnw.2012.6424060

Cited by 19 publications

(13 citation statements)

References 33 publications

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“…These automatic recorders are specially designed for collecting long autonomous field recordings with minimum human intervention. One can schedule the recorders and mount them in the field and return weeks or months later for the data, or set up a sensor network to directly download data to the laboratory (Stattner et al 2012. The recorders can be operated in 24/7 mode, meaning that they are capable of capturing both the diurnal and nocturnal sonic environment, including any rare or cryptic bird vocalisations, in any habitat, including ecologically sensitive areas or areas that are difficult to access.…”

Section: Introductionmentioning

confidence: 99%

Automated birdsong recognition in complex acoustic environments: a review

Priyadarshani

Marsland

Castro

2018

Journal of Avian Biology

209

216

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Conservationists are increasingly using autonomous acoustic recorders to determine the presence/absence and the abundance of bird species. Unlike humans, these recorders can be left in the field for extensive periods of time in any habitat. Although data acquisition is automated, manual processing of recordings is labour intensive, tedious, and prone to bias due to observer variations. Hence automated birdsong recognition is an efficient alternative. However, only few ecologists and conservationists utilise the existing birdsong recognisers to process unattended field recordings because the software calibration time is exceptionally high and requires considerable knowledge in signal processing and underlying systems, making the tools less user‐friendly. Even allowing for these difficulties, getting accurate results is exceedingly hard. In this review we examine the state‐of‐the‐art, summarising and discussing the methods currently available for each of the essential parts of a birdsong recogniser, and also available software. The key reasons behind poor automated recognition are that field recordings are very noisy, calls from birds that are a long way from the recorder can be faint or corrupted, and there are overlapping calls from many different birds. In addition, there can be large numbers of different species calling in one recording, and therefore the method has to scale to large numbers of species, or at least avoid misclassifying another species as one of particular interest. We found that these areas of importance, particularly the question of noise reduction, are amongst the least researched. In cases where accurate recognition of individual species is essential, such as in conservation work, we suggest that specialised (species‐specific) methods of passive acoustic monitoring are required. We also believe that it is important that comparable measures, and datasets, are used to enable methods to be compared.

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Section: Introductionmentioning

confidence: 99%

Automated birdsong recognition in complex acoustic environments: a review

Priyadarshani

Marsland

Castro

2018

Journal of Avian Biology

209

216

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“…Diante disso, a seleção de estruturas curriculares utilizadas na criação do conjunto de treinamento e no processo de CT para a Orquestração baseou-se no A quantidade de energia consumida pelos nós sensores são quesitos relevantes na implantação de uma aplicação, visto que a vida útil das RSSFs pode estar relacionada à capacidade de hardware, armazenamento e recarga de energia [Ruiz et. al 2011] e [Stattner et. al 2012].…”

Section: Resultsunclassified

Criptolab Um Game Baseado Em Computação Desplugada E Criptografia

Silva¹,

Guarda²,

Goulart³

2019

Fundamentos Da Ciência Da Computação

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“…Of late, it has been observed that due to the activity of trespassers in the habitat area, a disturbance in the breeding of the plants or sometimes in the animal husbandry area has been created. The unwanted stress has resulted in a low breeding rate within the specific species that has been monitored by the WSN [45]. Table 5, represents the examples of real-time applications for habitat monitoring that utilize WSNs.…”

Section: Habitat Monitoringmentioning

confidence: 99%

A Comprehensive Survey on Real-Time Applications of WSN

et al. 2017

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Nowadays, the investigation of the Wireless Sensor Network (WSN) has materialized its functional area ubiquitously such as environmental engineering, industrial and business applications, military, feedstock and habitat, agriculture sector, seismic detection, intelligent buildings, smart grids, and predictive maintenance, etc. Although some challenges still exist in the wireless sensor network, in spite of the shortcoming, it has been gaining significant attention among researchers and technologists due to its versatility and robustness. WSN is subject to a high potential technology that has been successfully implemented and tested in real-time scenarios, as well as deployed practically in various applications. In this paper, we have carried out an extensive survey in real-time applications of wireless sensor network deployment in a practical scenario such as the real-time intelligent monitoring of temperature, criminal activity in borders and surveillance on traffic monitoring, vehicular behavior on roads, water level and pressure, and remote monitoring of patients. The application of the Wireless Sensor Network in the assorted field of research areas has been widely deliberated. WSN is found to be the most effective solution in remote areas which are not yet explored due to its perilous nature and unreachable places. Here, in this study, we have cited the recent and updated research on the ubiquitous usage of WSN in diverse fields in an extensive and comprehensive approach.

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Wireless sensor network for habitat monitoring: A counting heuristic

Cited by 19 publications

References 33 publications

Automated birdsong recognition in complex acoustic environments: a review

Automated birdsong recognition in complex acoustic environments: a review

Criptolab Um Game Baseado Em Computação Desplugada E Criptografia

A Comprehensive Survey on Real-Time Applications of WSN

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