@inproceedings{de987eb8267e472f82e9bf8bed70e772,
title = "Collaborative Edge Mining for predicting heat stress in dairy cattle",
abstract = "Edge Mining (EM), a novel Fog Computing technique, has been proposed to perform data analysis on sensor devices at the edge of Internet of Things (IoT). The approach, however, is limited to analysis conducted by each sensor node in isolation. In this paper, we propose Collaborative Edge Mining (CEM), an extension of the EM technique, wherein multiple sensor devices participate together in on-site data analysis and prediction. Our model detects contextually relevant events by integrating and analysing data arising from different sources and, thereby, lays the foundation of a sensor-based implementation of Apache Storm like framework. We have evaluated our approach with respect to the Linear Spanish Inquisition Protocol for a precision farming application. We illustrate CEM for the estimation of Temperature Humidity Index, an important metric to predict Heat Stress in dairy cattle, and compare its performance to EM. CEM performs well in most cases, especially, latency-sensitive scenarios.",
keywords = "apache storm, edge mining, heat stress, precision farming, wireless sensor networks",
author = "Kriti Bhargava and Stepan Ivanov",
note = "Funding Information: This work has received support from the Science Foundation Ireland (SFI) and the Agriculture and Food Development Authority, Ireland (TEAGASC) as part of the SFI TEAGASC Future Agri-Food Partnership, in a project (13/IA/1977) titled {"}Using precision technologies, technology platforms and computational biology to increase the economic and environmental sustainability of pasture based production systems{"}. Publisher Copyright: {\textcopyright} 2016 IEEE.; null ; Conference date: 23-03-2016 Through 25-03-2016",
year = "2016",
month = apr,
day = "27",
doi = "10.1109/WD.2016.7461445",
language = "English",
series = "IFIP Wireless Days",
publisher = "IEEE",
editor = "Thierry Gayraud and Ricardo, {Manuel P.} and Emmanuel Chaput and Samir Medjiah and Andre-Luc Beylot and Pascal Berthou",
booktitle = "2016 Wireless Days, WD 2016",
address = "United States",
}