Incremental Environmental Monitoring for Revealing the Ecology of Endangered Fish

Yoshinari SHIRAI  Yasue KISHINO  Shin MIZUTANI  Yutaka YANAGISAWA  Takayuki SUYAMA  Takuma OTSUKA  Tadao KITAGAWA  Futoshi NAYA  

Publication
IEICE TRANSACTIONS on Communications   Vol.E101-B   No.10   pp.2070-2082
Publication Date: 2018/10/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2017NEI0003
Type of Manuscript: INVITED PAPER (Special Section on Wireless Distributed Networks for IoT Era)
Category: 
Keyword: 
environmental monitoring,  sensor networks,  annotation tools,  computational ethology,  

Full Text: FreePDF(3.6MB)


Summary: 
This paper proposes a novel environmental monitoring strategy, incremental environmental monitoring, that enables scientists to reveal the ecology of wild animals in the field. We applied this strategy to the habitat of endangered freshwater fish. Specifically, we designed and implemented a network-based system using distributed sensors to continuously monitor and record the habitat of endangered fish. Moreover, we developed a set of analytical tools to exploit a variety of sensor data, including environmental time-series data such as amount of dissolved oxygen, as well as underwater video capturing the interaction of fish and their environment. We also describe the current state of monitoring the behavior and habitat of endangered fish and discuss solutions for making such environmental monitoring more efficient in the field.