thumbnail

TinyOS-based quality of service management in wireless sensor networks

By: , , , , , , , , and 
https://doi.org/10.1109/HICSS.2009.461

Links

Abstract

Previously the cost and extremely limited capabilities of sensors prohibited Quality of Service (QoS) implementations in wireless sensor networks. With advances in technology, sensors are becoming significantly less expensive and the increases in computational and storage capabilities are opening the door for new, sophisticated algorithms to be implemented. Newer sensor network applications require higher data rates with more stringent priority requirements. We introduce a dynamic scheduling algorithm to improve bandwidth for high priority data in sensor networks, called Tiny-DWFQ. Our Tiny-Dynamic Weighted Fair Queuing scheduling algorithm allows for dynamic QoS for prioritized communications by continually adjusting the treatment of communication packages according to their priorities and the current level of network congestion. For performance evaluation, we tested Tiny-DWFQ, Tiny-WFQ (traditional WFQ algorithm implemented in TinyOS), and FIFO queues on an Imote2-based wireless sensor network and report their throughput and packet loss. Our results show that Tiny-DWFQ performs better in all test cases. ?? 2009 IEEE.
Publication type Conference Paper
Publication Subtype Conference Paper
Title TinyOS-based quality of service management in wireless sensor networks
ISBN 9780769534503
DOI 10.1109/HICSS.2009.461
Year Published 2009
Language English
Larger Work Title Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS
Conference Title 42nd Annual Hawaii International Conference on System Sciences, HICSS
Conference Location Waikoloa, HI
Conference Date 5 January 2009 through 9 January 2009
Google Analytic Metrics Metrics page
Additional publication details