Testing the feasibility of wireless sensor networks and the use of radio signal strength indicator to track the movements of wild animals
| Autor: | Margaret C. Stanley, Louise McMillan, Todd E. Dennis, Cheryl R. Krull, R. van der Ree, Roger P. Pech, Rachel M. Fewster |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
business.industry Ecology Computer science Real-time computing Management Monitoring Policy and Law Grid 010603 evolutionary biology 01 natural sciences Rendering (computer graphics) 010601 ecology Assisted GPS Global Positioning System Wireless Radio-frequency identification Radio frequency business Wireless sensor network Ecology Evolution Behavior and Systematics |
| Zdroj: | Wildlife Research. 45:659 |
| ISSN: | 1035-3712 |
| DOI: | 10.1071/wr18013 |
| Popis: | Context Wireless sensor networks (WSNs) are revolutionising areas of animal behaviour research and are advantageous based on their ability to be deployed remotely and unobtrusively, for long time periods in inaccessible areas. Aims We aimed to determine the feasibility of using a WSN to track detailed movement paths of small animals, e.g. rats (Rattus spp.) 100–400g, too small for current GPS technology, by calibrating active Radio Frequency Identification (RFID) tags and loggers using Radio Frequency Signal Strength Indicator (RSSI) as a proxy for distance. Active RFIDs are also called Wireless Identification (WID) tags. Methods Calibration tests were conducted using a grid of loggers (n=16) spaced at 45-m intervals in clear line-of-sight conditions. WID tags (n=16) were placed between the loggers at 45-m intervals. Eight ‘walks’ were also conducted through the grid using a single WID tag. This involved attaching the tag to a small bottle of water (to simulate the body of an animal), towed around the grid using a 1-m long tow line attached to a volunteer walker. The volunteer also held a GPS device that logged their track. Models were constructed to test the effects of distance, tag movement and individual differences in loggers and tags on the reliability of movement data. Key results Loggers were most successful at detecting tags at distances |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|