| Sensors | |
| Network Modeling and Energy-Efficiency Optimization for Advanced Machine-to-Machine Sensor Networks | |
| Sungmo Jung2  Jong Hyun Kim1  | |
| [1] Electronics and Telecommunications Research Institute, Daejeon 305-700, Korea; E-Mail:;Department of Multimedia, Hannam University, Daejeon 306-791, Korea; E-Mail: | |
| 关键词: clustering algorithm; lifespan; machine to machine; multiple radio interfaces; network modeling; wireless sensor networks; | |
| DOI : 10.3390/s121114851 | |
| 来源: mdpi | |
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【 摘 要 】
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.
【 授权许可】
CC BY
© 2012 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202003190040809ZK.pdf | 400KB |
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