Experiences and issues for environmental engineering sensor network deployments

Lee, K ORCID logoORCID: https://orcid.org/0000-0002-2730-9150, Murray, D, Goodfield, D and Anda, M, 2012. Experiences and issues for environmental engineering sensor network deployments. In: 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST): Complex Environment Engineering, Campione d'Italia, Italy, 18-20 June 2012. Los Alamitos, California: IEEE Computer Society, pp. 1-6. ISBN 9781467317023

[thumbnail of 221078_PubSub2796_Lee_K.pdf]
Preview
Text
221078_PubSub2796_Lee_K.pdf

Download (1MB) | Preview

Abstract

Sensor network research is a large and growing area of academic effort, examining technological and deployment issues in the area of environmental monitoring. These technologies are used by environmental engineers and scientists to monitor a multiplicity of environments and services, and, specific to this paper, energy and water supplied to the built environment. Although the technology is developed by Computer Science specialists, the use and deployment is traditionally performed by environmental engineers. This paper examines deployment from the perspectives of environmental engineers and scientists and asks what computer scientists can do to improve the process. The paper uses a case study to demonstrate the agile operation of WSNs within the Cloud Computing infrastructure, and thus the demand-driven, collaboration-intense paradigm of Digital Ecosystems in Complex Environments.

Item Type: Chapter in book
Creators: Lee, K., Murray, D., Goodfield, D. and Anda, M.
Publisher: IEEE Computer Society
Place of Publication: Los Alamitos, California
Date: 2012
ISBN: 9781467317023
ISSN: 2150-4938
Identifiers:
Number
Type
10.1109/DEST.2012.6227903
DOI
Divisions: Schools > School of Science and Technology
Record created by: EPrints Services
Date Added: 09 Oct 2015 11:17
Last Modified: 09 Jun 2017 13:54
URI: https://irep.ntu.ac.uk/id/eprint/25519

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year