University of Twente Student Theses


Inferring animal social interaction using proximity based on BLE and LoRa

Hazekamp, C. (2018) Inferring animal social interaction using proximity based on BLE and LoRa.

This is the latest version of this item.

[img] PDF
Abstract:Social network analysis is nowadays not only used to infer information about human social networks but is also used for the monitoring of the social networks of animals, animal social network analysis. Biologists can use this information to analyse animal movement data, study animal behaviour or for the purpose of wildlife conservation. For the assignment, it is assumed that animal social network information is electronically gathered using tags that collect proximity data and are capable of low-power radio communication using Bluetooth Low Energy (BLE) and Long Range (LoRa). This thesis covers the history and background of social network analysis and its applications, animal social network analysis and the used metrics, background information about Bluetooth Low Energy, Long Range, path loss phenomena and shadowing. Using the gathered knowledge about (animal) social network analysis, a simulation model is used, combined with path loss models and shadowing, to simulate the behaviour of BLE and LoRa. Tests with hardware are used for the validation of the results.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
Link to this item:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page