Journal article
Towards unified radio power management for wireless sensor networks
Wireless communications and mobile computing, Vol.9(3), pp.313-323
03/01/2009
DOI: 10.1002/wcm.622
Abstract
Many wireless sensor networks must sustain long lifetimes on limited energy resources. Two major approaches, transmission power control and sleep scheduling, have been proposed to reduce the radio power consumption in the transmission state and the idle state, respectively. In this paper, we first review existing transmission power control and sleep scheduling approaches and then describe a Unified Radio Power Management framework for the design and implementation of holistic radio power management Solutions ill wireless sensor networks. It has two key components: (1) a novel optimization approach called Minimum Power Configuration that minimizes the aggregate radio power consumption of all ratio states and (2) a Unified Power Management-Architecture (UPMA) that aims to support the flexible cross-layer integration of different power management strategies. A novel feature of UPMA is that it enables cross-layer coordination and joint optimization of different power management strategies that exist at multiple network layers. Copyright (C) 2008 John Wiley & Sons, Ltd.
Details
- Title: Subtitle
- Towards unified radio power management for wireless sensor networks
- Creators
- Guoliang Xing - City Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R ChinaMo Sha - City Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R ChinaGreg Hackmann - Washington Univ, Dept Comp Sci & Engn, St Louis, MO 63130 USAKevin Klues - Washington Univ, Dept Comp Sci & Engn, St Louis, MO 63130 USAOctav Chipara - Washington Univ, Dept Comp Sci & Engn, St Louis, MO 63130 USAChenyang Lu - Washington Univ, Dept Comp Sci & Engn, St Louis, MO 63130 USA
- Resource Type
- Journal article
- Publication Details
- Wireless communications and mobile computing, Vol.9(3), pp.313-323
- DOI
- 10.1002/wcm.622
- ISSN
- 1530-8669
- eISSN
- 1530-8677
- Publisher
- Wiley-Hindawi
- Number of pages
- 11
- Grant note
- CNS-0627126 / NSF under a NeTSNOSS; National Science Foundation (NSF) RGC 9041266 / Research Grants Council of Hong Kong; Hong Kong Research Grants Council
- Language
- English
- Date published
- 03/01/2009
- Academic Unit
- Computer Science
- Record Identifier
- 9984259419102771
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