Deploy Mobile Relays to Extend the Lifetime of Wireless Sensor Network

碩士 === 國立清華大學 === 資訊系統與應用研究所 === 102 === Lifetime is always a critical issue in sensor networks due to limited battery capacity, especially in data-intensive applications, such as military monitoring, environment or earth sensing, and audio/video surveillance. To address the issue, deployments of re...

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Bibliographic Details
Main Authors: Huang, FuNan, 黃富男
Other Authors: 石維寬
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/74740607449136396637
Description
Summary:碩士 === 國立清華大學 === 資訊系統與應用研究所 === 102 === Lifetime is always a critical issue in sensor networks due to limited battery capacity, especially in data-intensive applications, such as military monitoring, environment or earth sensing, and audio/video surveillance. To address the issue, deployments of relay nodes and configuration of mobile relays are widely studied in the sensor networks. Because mobile relays provide an ability of movement, the lifetime of sensor networks can be adaptively extended according to the current state of sensor networks. Based on the benefit of using mobile relay, this paper proposes an adaptive relay configuration called LaCRE (Lifetime-aware Configuration with Residual Energy), which tries extremely to prolong the lifetime of sensor networks. The most different between LaCRE and other approaches is that LaCRE focuses on prolong the lifetime of sensor networks while other approaches try to minimize the power consumption of data transmissions. The LaCRE designs an equation that combines the lifetime-aware and the energy-aware parameters to calculate a new location for mobile relay movement. At the new location, the mobile relay can better prolongs the lifetime of the sensor networks. Our simulation results show that the LaCRE can reduce the power consumption of data transmissions in the sensor network by 5-8% compared to the relays without movements. Moreover, compared to other solutions, LaCRE increase the lifetime of the sensor networks up to 2 times.