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Testing the feasibility of wireless sensor networks and the use of radio signal strength indicator to track the movements of wild animals
- Source :
- Wildlife Research. 45:659
- Publication Year :
- 2018
- Publisher :
- CSIRO Publishing, 2018.
-
Abstract
- 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
- Subjects :
- 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
Subjects
Details
- ISSN :
- 10353712
- Volume :
- 45
- Database :
- OpenAIRE
- Journal :
- Wildlife Research
- Accession number :
- edsair.doi...........51fbdfbb7bc10628ef0c47c1523e8070