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Sensors 2012, 12(11), 14851-14861; doi:10.3390/s121114851

Network Modeling and Energy-Efficiency Optimization for Advanced Machine-to-Machine Sensor Networks

1
Department of Multimedia, Hannam University, Daejeon 306-791, Korea
2
Electronics and Telecommunications Research Institute, Daejeon 305-700, Korea
*
Author to whom correspondence should be addressed.
Received: 30 August 2012 / Revised: 29 October 2012 / Accepted: 31 October 2012 / Published: 5 November 2012
(This article belongs to the Special Issue Ubiquitous Sensing)
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Abstract

Wireless machine-to-machine sensor networks with multiple radio interfaces are expected to have several advantages, including high spatial scalability, low event detection latency, and low energy consumption. Here, we propose a network model design method involving network approximation and an optimized multi-tiered clustering algorithm that maximizes node lifespan by minimizing energy consumption in a non-uniformly distributed network. Simulation results show that the cluster scales and network parameters determined with the proposed method facilitate a more efficient performance compared to existing methods. View Full-Text
Keywords: clustering algorithm; lifespan; machine to machine; multiple radio interfaces; network modeling; wireless sensor networks clustering algorithm; lifespan; machine to machine; multiple radio interfaces; network modeling; wireless sensor networks
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Jung, S.; Kim, J.H.; Kim, S. Network Modeling and Energy-Efficiency Optimization for Advanced Machine-to-Machine Sensor Networks. Sensors 2012, 12, 14851-14861.

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