Wireless Sensor Networks (WSNs) have permeated the entire fabric of academic disciplines that greatly rely on control and decision-making processes such as medical health care, agriculture, ecology and industrial automation. In ecol- ogy, an infrastructure consisting of networks of interconnected sensors can provide in-situ high-precision monitoring of natural phenomena at a large-scale. Moreover, WSNs provide a num- ber of advantages to ecoinformatics such as the possibility of constructing quality data-sets that coupled to machine learning- based prediction systems, can be used for ecological and process modelling. In this manuscript, we present a survey on recent WSNs based on several fields related to environmental research e.g. ecoinformatics, precision agriculture and wildlife observation. Finally, we have focused on the identification of limitations and open problems therein.
De La Piedra Abenojar, A, Benitez Capistros, F, Dominguez Bonini, FX & Touhafi, A 2013, Wireless Sensor Networks for Environmental Research: A Survey on Limitations and Challenges. in IEEE EUROCON 2013. IEEE, pp. 267-274, IEEE EUROCON 2013, Zagreb, Croatia, 1/07/13.
De La Piedra Abenojar, A., Benitez Capistros, F., Dominguez Bonini, F. X., & Touhafi, A. (2013). Wireless Sensor Networks for Environmental Research: A Survey on Limitations and Challenges. In IEEE EUROCON 2013 (pp. 267-274). IEEE.
@inproceedings{c5e8a19757e24a8c80b94c2fca7e1afb,
title = "Wireless Sensor Networks for Environmental Research: A Survey on Limitations and Challenges",
abstract = "Wireless Sensor Networks (WSNs) have permeated the entire fabric of academic disciplines that greatly rely on control and decision-making processes such as medical health care, agriculture, ecology and industrial automation. In ecol- ogy, an infrastructure consisting of networks of interconnected sensors can provide in-situ high-precision monitoring of natural phenomena at a large-scale. Moreover, WSNs provide a num- ber of advantages to ecoinformatics such as the possibility of constructing quality data-sets that coupled to machine learning- based prediction systems, can be used for ecological and process modelling. In this manuscript, we present a survey on recent WSNs based on several fields related to environmental research e.g. ecoinformatics, precision agriculture and wildlife observation. Finally, we have focused on the identification of limitations and open problems therein.",
keywords = "Wireless Sensor Networks, 802.15.4",
author = "{De La Piedra Abenojar}, Antonio and {Benitez Capistros}, Francisco and {Dominguez Bonini}, {Federico Xavier} and Abdellah Touhafi",
year = "2013",
month = jul,
day = "1",
language = "English",
isbn = "978-1-4673-2230-0",
pages = "267--274",
booktitle = "IEEE EUROCON 2013",
publisher = "IEEE",
note = "IEEE EUROCON 2013 ; Conference date: 01-07-2013 Through 04-07-2013",
url = "http://www.eurocon2013.org/",
}