Toggle Main Menu Toggle Search

Open Access padlockePrints

Smartdust and ZigBee for Transport Applications

Lookup NU author(s): Dr Kirusnapillai Selvarajah, Dr Alan Tully



Over the last few years many different versions of wireless sensor devices have been designed and built by various companies and institutions. The wireless sensor devices include sensors, microprocessor, bi-directional wireless communication technology and a power supply. This type of tiny wireless micro electro mechanical device has been nicknamed as “Smartdust”. The Smartdust devices have been successfully tested in many sensor network applications but potential use of the devices in transport domain is not clearly known. The Embedded Middleware in Mobility Applications project (EMMA) is funded under the Information Society Technologies (IST) Priority of the 6th Framework Programme of the European Commission. The application domain of transport will be taken as a pilot example where EMMA will foster cost-efficient ambient intelligence systems with optimal performance, high confidence and faster deployment. Even though number of Smartdust platforms are available in the market, Crossbow MICA family motes will be used for EMMA applications due to its commercial success in many wireless sensor network applications. Also, MICAz mote will be the best suitable platform for the EMMA project since it features sensing and networking capabilities with low power consumption and using ZigBee as communication protocol. The presentation will be focused on our experience of using Smartdust and Zigbee protocol for the EMMA infrastructure and vehicle sensor networks. Mainly, how communication between vehicle and the infrastructure can be faced and how heterogeneity issues will be handled using Zigbee as the most suitable communication technology.

Publication metadata

Author(s): Selvarajah K, Tully A

Publication type: Report

Publication status: Published

Series Title: School of Computing Science Technical Report Series

Year: 2007

Pages: 11

Print publication date: 01/06/2007

Source Publication Date: June 2007

Report Number: 1035

Institution: School of Computing Science, University of Newcastle upon Tyne

Place Published: Newcastle upon Tyne