Adaptation of wireless sensor network for farming industries

Authors:
Kae Hsiang Kwong;Konstantinos Sasloglou;Hock Guan Goh;Tsung Ta Wu;Bruce Stephen;Michael Gilroy;Christos Tachtatzis;Ian A. Glover;Craig Michie;Ivan Andonovic
Affiliations:
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom;Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom;Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom;Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom;Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom;Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom;Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom;Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom;Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom;Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom
Venue:
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
Year:
2009

Citing 4
Cited 0

Digital communications

Digital communications
Medium access control with coordinated adaptive sleeping for wireless sensor networks

IEEE/ACM Transactions on Networking (TON)
Hardware design experiences in ZebraNet

SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Wireless adhoc sensor and actuator networks on the farm

Proceedings of the 5th international conference on Information processing in sensor networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

In recent years, wireless sensor networks (WSN) have received considerable attention within agriculture and farming as a means to reduce operational costs and enhance animal health care. This paper examines the application of WSNs to livestock monitoring and the issues related to hardware realization. The core of this study is to overcome the aforementioned drawbacks by using alternative cheap, low power consumption sensor nodes capable of providing real-time communication at a reasonable hardware cost. In this paper, various factors i.e. radio frequency selection, channel bandwidth, etc. have been evaluated to provide a solution which can obtain real-time data from diary cattle whilst conforming to the limitations associated with WSNs implementations.