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篇目详细内容 |
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【篇名】 |
Optimized placement of nodes for target detection in sensor networks |
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【刊名】 |
Frontiers of Electrical and Electronic Engineering in China |
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【刊名缩写】 |
Front. Electr. Electron. Eng. China |
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【ISSN】 |
1673-3460 |
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【EISSN】 |
1673-3584 |
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【DOI】 |
10.1007/s11460-007-0031-x |
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【出版社】 |
Higher Education Press and Springer-Verlag |
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【出版年】 |
2007 |
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【卷期】 |
2
卷2期 |
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【页码】 |
167-171
页,共
5
页 |
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【作者】 |
HU Ning;
ZHANG Deyun;
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【关键词】 |
wireless sensor network; sensor placement; target location; genetic algorithm |
【摘要】 |
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In order to improve the precision of the target detection in wireless sensor networks, a new approach based on genetic algorithm (GA) was proposed to optimize the placement of the sensor. The target location problem was transformed into locating a target at a grid point through modeling the sensor field as a grid of points. Moreover, the sensor placement problem was formulated as a combinatorial optimization problem, which is aimed at minimizing the maximum discrimination error under the restraints of limited cost and complete coverage. The GA approach uses binary coding to represent the location, and both single parent crossover operator and single parent mutation operator are used to improve its speed and efficiency. Experimental results have shown that a global optimal solution can be quickly obtained using the proposed method and the precision requirement for target location is satisfied. |
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