基于混沌人工蜂群算法的無(wú)線(xiàn)傳感器網(wǎng)絡(luò )覆蓋優(yōu)化

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基于混沌人工蜂群算法的無(wú)線(xiàn)傳感器網(wǎng)絡(luò )覆蓋優(yōu)化
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作者單位:(河南工程學(xué)院 計算機學(xué)院,鄭州 451191)
作者簡(jiǎn)介:文政穎(1979-),女,河南南召縣人,碩士,講師,主要從事計算機應用、數據庫技術(shù)等方向的研究。[FQ)]
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中圖分類(lèi)號:TP393
基金項目:國家自然科學(xué)基金資助項目(61142010);河南省科技計劃項目(122300410174)。

Coverage Optimization of Wireless Sensor Networks Base on Chaotic Artificial Bee Colony Algorithm[HS)]

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(School of Computer,Henan Institute of Engineering,Zhengzhou 451191,China)

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摘要:

針對無(wú)線(xiàn)傳感器網(wǎng)絡(luò )隨機播撒的節點(diǎn)嚴重冗余并且導致網(wǎng)絡(luò )壽命短、覆蓋效率不高等缺陷,提出了一種混沌人工蜂群算法的無(wú)線(xiàn)傳感器網(wǎng)絡(luò )覆蓋優(yōu)化算法;將節點(diǎn)的利用率和覆蓋率作為優(yōu)化目標函數,建立與之對應的數學(xué)模型,之后用混沌人工蜂群算法改善人工蜂群算法陷入局部最優(yōu)、收斂慢等問(wèn)題,提高算法收斂速度和精度,對節點(diǎn)覆蓋模型進(jìn)行求解,得出網(wǎng)絡(luò )最優(yōu)覆蓋方案;通過(guò)實(shí)驗仿真,提出的算法提高了無(wú)線(xiàn)傳感器網(wǎng)絡(luò )的覆蓋率,覆蓋率可達93.48%以上,減少了網(wǎng)絡(luò )節點(diǎn)冗余,提高了網(wǎng)絡(luò )壽命,降低了網(wǎng)絡(luò )成本。

Abstract:

In view of the wireless sensor network nodes randomly and lead to serious redundancy network life is short, covering the efficiency of a defect, the coverage algorithm in wireless sensor network is a kind of chaotic artificial bee colony algorithm. In this paper the utilization of nodes and coverage rate as the optimization objective function, establish corresponding mathematical model, then use chaotic artificial bee colony algorithm improved artificial bee colony algorithm into a local optimum, the slow convergence problem, enhances the convergence speed and precision, to solve the node coverage model, obtains the optimal network coverage scheme. Through simulation, the proposed algorithm can improve the wireless sensor network coverage rate, Coverage can reach more than 93.48% ,reduce network node redundancy, improve the network lifetime, reduce the cost of the network.

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文政穎,翟紅生.基于混沌人工蜂群算法的無(wú)線(xiàn)傳感器網(wǎng)絡(luò )覆蓋優(yōu)化計算機測量與控制[J].,2014,22(5):1609-1612.

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收稿日期:2014-01-18
最后修改日期:2014-03-08
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在線(xiàn)發(fā)布日期: 2014-12-16
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