UMR Mote-based Demonstration of Wireless Sensor Networking Protocols Using Pneumatic Testbed

Abstract

Wireless sensor network (WSN) technology has the potential to revolutionize the ability of industrial, residential, safety, and military applications in terms of small, low-cost, and quickly deployable systems to bring observability to pertinent personnel. However, for some applications the existing solutions do not provide adequate quality of service (QoS). For example, timesensitive monitoring and control systems need guarantee of timely delivery of the information across the congested network and application constraints have to be taken into account during protocol development. The technical design issues have been discussed and protocol is developed to address these issues. At the University of Missouri-Rolla (UMR) ongoing research into the integration of distributed algorithms that can satisfy a wide array of user requirements is being pursued. The optimal energydelay sub-network routing (OEDSR) protocol and adaptive distributed fair scheduling (ADFS) has been developed and implemented on the UMR mote hardware. The integrated platform shows promise for delivering reliable WSN services to targeted applications. The OEDSR protocol is contrasted experimentally with AODV protocol. This demonstration focuses on presenting the capabilities of the UMR platform for development of network protocols and support of industrial applications, similar to the presented diagnostics of the pneumatic testbed. The network of 20 nodes will be presented with real and simulated data sources. The pneumatic testbed is equipped with a UMR mote that performs the diagnostics in real-time and provides observability through the network.

Department(s)

Electrical and Computer Engineering

Sponsor(s)

National Science Foundation (U.S.)
United States. Department of Education

Keywords and Phrases

ADFS; OEDSR; Motes; Wireless Sensor Networks; Pneumatics

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2007 Association for Computing Machinery (ACM), All rights reserved.

Publication Date

01 Jan 2007

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