DocumentCode :
1254056
Title :
Energy-aware wireless microsensor networks
Author :
Raghunathan, Vijay ; Schurgers, Curt ; Park, Sung ; Srivastava, Mani B.
Author_Institution :
California Univ., Los Angeles, CA, USA
Volume :
19
Issue :
2
fYear :
2002
fDate :
3/1/2002 12:00:00 AM
Firstpage :
40
Lastpage :
50
Abstract :
This article describes architectural and algorithmic approaches that designers can use to enhance the energy awareness of wireless sensor networks. The article starts off with an analysis of the power consumption characteristics of typical sensor node architectures and identifies the various factors that affect system lifetime. We then present a suite of techniques that perform aggressive energy optimization while targeting all stages of sensor network design, from individual nodes to the entire network. Maximizing network lifetime requires the use of a well-structured design methodology, which enables energy-aware design and operation of all aspects of the sensor network, from the underlying hardware platform to the application software and network protocols. Adopting such a holistic approach ensures that energy awareness is incorporated not only into individual sensor nodes but also into groups of communicating nodes and the entire sensor network. By following an energy-aware design methodology based on techniques such as in this article, designers can enhance network lifetime by orders of magnitude
Keywords :
microsensors; optimisation; power consumption; protocols; radio networks; application software; communicating nodes; energy optimization; energy-aware design; energy-aware wireless microsensor networks; hardware platform; network lifetime; network protocols; power consumption characteristics; radio communication; sensor network design; sensor node architectures; sensor nodes; topology management; traffic distribution; Algorithm design and analysis; Application software; Design methodology; Design optimization; Energy consumption; Hardware; Microsensors; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/79.985679
Filename :
985679
Link To Document :
بازگشت