Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Faculty of Computing, Health and Science

School

School of Engineering / Centre for Communications Engineering Research

RAS ID

14810

Comments

This is an Author's Accepted Manuscript of: Dines, E. S., Al-Majeed, H. , Fernando, A. , Abdalla, M. , & Gohil, J. L. (2012). A New WSN Paradigm for Environmental Monitoring and Data Collection. Proceedings of Australasian Telecommunication Networks and Applications Conference (ATNAC 2012). (pp. 1-6). Brisbane, Queensland, Australia. IEEE. Available here

© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

Data collection of environmental phenomena has traditionally been a very manual process. Even the advent of electronic data logging instruments has not significantly reduced the workload for managing instruments in the field. Recently however, low-cost microcontroller systems with wireless connectivity, called wireless sensor networks (WSNs) have been developed. With the proliferation of low-cost sensing elements, WSNs should be transforming environmental monitoring, but certain shortcomings in the current WSN paradigm have conspired against widespread field deployment. These are: battery capacity limitations; specialised wireless protocols that exclude WSNs from direct integration into existing data networks; and closed rather than open and extensible designs. In this work we investigate the effectiveness of a new paradigm for remote data collection systems; employing alternative power sources to significantly extend the service interval, WiFi wireless communications to simplify remote management, and open-sourced design to enable customisation and extensibility. We conduct a direct in situ comparison of WiFi and similar ZigBee radios, evaluating signal range and battery utilization under various sensor and radio configurations.

DOI

10.1109/ATNAC.2012.6398057

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free_to_read

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