Hole Prediction for Sensing Irregularity in Wireless Sensor Networks
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 94 === In wireless sensor networks, the coverage ratio of sensing field often determines the performance and efficiency of the whole network. Therefore, coverage is taken as an important issue for related researches. Many mechanisms have been proposed to enhance the...
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| Format: | Others |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/94053025049605086469 |
| Summary: | 碩士 === 國立成功大學 === 電腦與通信工程研究所 === 94 === In wireless sensor networks, the coverage ratio of sensing field often determines the performance
and efficiency of the whole network. Therefore, coverage is taken as an important issue for related researches. Many mechanisms have been proposed to enhance the coverage ratio and most of them can achieve excellent coverage ratio with limited resource. These mechanisms typically assume that the sensing range of a node is a perfect circle with a fixed radius. However, the assumption may not be true for all sensing environments and it will result in unexpected coverage holes in practical. This thesis restricts the assumption and analyzes the effects hidden behind it. Besides the analysis, the thesis also presents an Irregular Coverage Prediction (ICP) method to solve the issue. The ICP uses the property of intersection points between active sensors to determine which areas
may encounter coverage holes when the assumption is revoked. Assistant sensors can thus be deployed to remove the potential holes. The simulation results show that the ICP is efficient for improving the coverage ratio with sensing irregularity.
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