无线网络非均匀分簇路由算法改进研究与仿真

发布时间：2018-05-08 13:56

本文选题：无线网络 + 非均匀分簇　；参考：《计算机仿真》2017年04期

【摘要】：针对传统方法进行无线网络非均匀分簇路由方法改进时,无法精确地衡量路径剩余能量,致使靠近汇聚点的簇首容易过早耗尽,严重影响了无线网络的使用寿命。提出改进多目标和声搜索的无线网络非均匀分簇路由方法。利用传统的非均匀分簇路由算法对无线网络进行分簇,采用改进蚁群优化算法搜索出无线网络簇间多条路径,以节点剩余能量消耗最小,基站距离最小为约束条件,组建无线网络路由非均匀分簇多目标优化问题模型,并用二进制和声搜索优化算法对模型进行求解,解决了传统算法的能耗不均问题。仿真结果表明,采用提出的方法进行非均匀分簇路由算法改进时,剩余节点数量和网络生命周期比传统方法都有了较大提高的同时,降低了能耗、时延和丢包率,并能更好的延长无线网络的生命周期。
[Abstract]:When improving the traditional non-uniform clustering routing method for wireless network, the residual energy of the path can not be measured accurately, which makes the cluster head near the convergence point easy to run out prematurely, which seriously affects the service life of the wireless network. An improved multi-objective harmonic search based non-uniform clustering routing method for wireless networks is proposed. The traditional non-uniform clustering routing algorithm is used to cluster the wireless network, and the improved ant colony optimization algorithm is used to search the multiple paths between the wireless network clusters. The minimum residual energy consumption and the minimum base station distance are taken as the constraint conditions. A wireless network routing non-uniform clustering multi-objective optimization model is constructed, and the model is solved by binary harmonic search optimization algorithm, which solves the problem of uneven energy consumption of the traditional algorithm. Simulation results show that when the proposed method is used to improve the non-uniform clustering routing algorithm, the number of remaining nodes and the network lifetime are greatly improved, and the energy consumption, delay and packet loss rate are reduced. And can extend the life cycle of wireless network better.
【作者单位】：广东海洋大学寸金学院;
【基金】：模拟仿真技术在计算机网络实践中的应用(2013LYM_0109) GNS3接合VMware虚实一体教学平台在网络与信息安全工程的实践应用(GDJG20142569) 基于NFC(近场通信)的智能锁(CJ2015070) 2015院级质量工程项目(CJ2015025)
【分类号】：TN92

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