Sensing Solutions for Collecting Spatio-Temporal Data for Wildlife Monitoring Applications: A Review

Sensors

Mitra Baratchi¹  Nirvana Meratnia¹  Paul J. M. Havinga¹  Andrew K. Skidmore² 

[1] Persavive Systems Group, University of Twente, Enschede 7500 AE, The Netherlands; E-Mails:;ITC, University of Twente, Enschede 7500 AE, The Netherlands; E-Mails:

关键词: wildlife monitoring;    spatio-temporal data;    wireless sensor networks;   

DOI  :  10.3390/s130506054

来源: mdpi

【 摘 要 】

Movement ecology is a field which places movement as a basis for understanding animal behavior. To realize this concept, ecologists rely on data collection technologies providing spatio-temporal data in order to analyze movement. Recently, wireless sensor networks have offered new opportunities for data collection from remote places through multi-hop communication and collaborative capability of the nodes. Several technologies can be used in such networks for sensing purposes and for collecting spatio-temporal data from animals. In this paper, we investigate and review technological solutions which can be used for collecting data for wildlife monitoring. Our aim is to provide an overview of different sensing technologies used for wildlife monitoring and to review their capabilities in terms of data they provide for modeling movement behavior of animals.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.