發(fā)布時間：2018-05-14 01:16

  本文選題：ZigBee自組網(wǎng) + 物聯(lián)網(wǎng)��； 參考：《計算機工程》2017年07期

【摘要】：為進一步提高ZigBee自組網(wǎng)的網(wǎng)絡(luò)性能,對ZigBee自組網(wǎng)和路由算法兩方面進行研究。利用ZigBee技術(shù)構(gòu)建網(wǎng)絡(luò),在路由路徑更新時綜合考慮網(wǎng)絡(luò)節(jié)點能量均衡和收斂速度,采用改進遺傳算法搜索到全局較優(yōu)解,并利用粒子群優(yōu)化算法從中快速找到最優(yōu)解的最佳路由路徑�；贜S2的仿真結(jié)果表明,與經(jīng)典AODVjr路由算法和基于遺傳算法的路由算法相比,混合遺傳粒子群優(yōu)化算法可延長網(wǎng)絡(luò)的生命周期,減小網(wǎng)絡(luò)延時,提高ZigBee網(wǎng)絡(luò)的整體性能,更適合規(guī)模較大的復(fù)雜網(wǎng)絡(luò)。
[Abstract]:In order to further improve the performance of ZigBee ad hoc network, two aspects of ZigBee ad hoc network and routing algorithm are studied. The ZigBee technology is used to construct the network. The energy balance and convergence speed of the network nodes are considered when the routing path is updated, and the improved genetic algorithm is used to search the global optimal solution. Particle swarm optimization (PSO) algorithm is used to quickly find the optimal routing path. Simulation results based on NS2 show that compared with classical AODVjr routing algorithm and genetic algorithm, hybrid genetic particle swarm optimization algorithm can prolong the network life cycle, reduce network delay and improve the overall performance of ZigBee network. More suitable for larger complex networks.
【作者單位】： 華中師范大學(xué)物理科學(xué)與技術(shù)學(xué)院電信系;國網(wǎng)湖北省電力公司經(jīng)濟技術(shù)研究院;
【基金】：國家自然科學(xué)基金(61074046) 中央高校探索創(chuàng)新基金(CCNU15A02060) 中國-烏克蘭國際合作基金(CU01-11)
【分類號】：TN92;TP18;TP391.44

【參考文獻】

相關(guān)期刊論文 前10條

1 張v，

本文編號：1885669