基于链路不对称性预测的机会网络路由设计

发布时间：2018-06-29 07:34

本文选题：链路 + 机会网络　；参考：《科技通报》2014年10期

【摘要】：机会网络的混合路由优化设计可以有效降低冗余开销,提高数据传递成功率。传统方法采用链路代价评估和能量节省延迟容忍算法实现机会网络的路由设计,当在移动自组织网络中出现节点稀疏化调度下链路具有不对称性,降低了路由分配质量。提出一种基于改进的OLSRv2算法的链路不对称性预测控制机会网络混合路由优化算法,定义机会网络中混合置信因子概念,研究路由优化检验统计量的确定和判别系统的设计,通过OLSRv2算法引入了概率路由,在当前连通域的路由信息进行地址压缩得到最优传送概率值。仿真实验表明,采用该算法设计的机会网络路由进行网络通信,得到较小的控制开销,提高通信成功率,网络负载大幅降低。
[Abstract]:The hybrid routing optimization design of opportunistic networks can effectively reduce redundant overhead and improve the success rate of data transmission. The traditional method uses link cost evaluation and energy-saving delay tolerance algorithm to realize the routing design of opportunistic networks. When node sparse scheduling occurs in mobile ad hoc networks the link has asymmetry and reduces the quality of routing assignment. A hybrid routing optimization algorithm based on improved OLSRv2 algorithm for link asymmetric predictive control opportunistic networks is proposed. The concept of mixed confidence factor in opportunistic networks is defined, and the determination of route optimization test statistics and the design of discriminant system are studied. The probabilistic routing is introduced by OLSRv2 algorithm and the routing information in the current connected domain is compressed to obtain the optimal transmission probability. The simulation results show that the opportunistic network routing designed by this algorithm can achieve less control overhead, improve the communication success rate, and reduce the network load significantly.
【作者单位】：四川理工学院计算机学院;
【基金】：四川省教育厅科研项目(13ZAO125) 四川省高校重点实验室开放基金项目(2014WZY05) 企业信息化与物联网测控技术四川省高校重点实验室资助项目(2014WZY03) 软件工程专业综合改革(B12201002)
【分类号】：TN929.5

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