一種基于誤差距離加權(quán)與跳段算法選擇的遺傳優(yōu)化DV-Hop定位算法
doi: 10.11999/JEIT141205
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(61401175, 61371092)
Genetic Optimization DV-Hop Localization Algorithm Based on Error Distance Weighted and Hop Algorithm Selection
Funds:
The National Natural Science Foundation of China (61401175, 61371092)
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摘要: 針對(duì)Distance Vector-Hop (DV-Hop) 定位算法存在較大定位誤差的問(wèn)題，該文提出了一種基于誤差距離加權(quán)與跳段算法選擇的遺傳優(yōu)化DV-Hop定位算法，即WSGDV-Hop定位算法。改進(jìn)算法用基于誤差與距離的權(quán)值處理錨節(jié)點(diǎn)的平均每跳距離；根據(jù)判斷的位置關(guān)系選擇適合的跳段距離計(jì)算方法；用改進(jìn)的遺傳算法優(yōu)化未知節(jié)點(diǎn)坐標(biāo)。仿真結(jié)果表明，WSGDV-Hop定位算法的性能明顯優(yōu)于Distance Vector-Hop (DV-Hop) 定位算法，減小了節(jié)點(diǎn)定位誤差、提高了算法定位精度。
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關(guān)鍵詞:
- 無(wú)線傳感器網(wǎng)絡(luò) /
- 遺傳算法 /
- 歸一化加權(quán) /
- DV-Hop定位算法 /
- 判斷選擇
Abstract: For the problem of larger location error in Distance Vector-Hop (DV-Hop) localization algorithm, a genetic optimization DV-Hop localization algorithm based on error distance weighted and hop algorithm selection is proposed, namely WSGDV-Hop localization algorithm. The average every hop distance of anchor nodes is weighted by the error and the distance, the hop distance calculation method between unknown nodes to anchor nodes is selected by position judgment, and the calculated unknown nodes coordinates are optimized by improved genetic algorithm. The simulation results show that WSGDV-Hop localization algorithm achieves better performance than DV-Hop localization algorithm, the node location error is reduced, and the location accuracy is increased. -
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