首页> 外文期刊>Computer networks >A lightweight load balancing and route minimizing solution for routing protocol for low-power and lossy networks
【24h】

A lightweight load balancing and route minimizing solution for routing protocol for low-power and lossy networks

机译:低功耗和有损网络路由协议的轻量级负载平衡和路径最小化解决方案

获取原文
获取原文并翻译 | 示例

摘要

Routing Protocol for Low-Power and Lossy Networks (RPL) is considered as one of the essential information forwarding options for the Internet of Thing appliances, which possesses a flexible design. However, RPL suffers from the lack of an applicable load balancing mechanism in massive traffic scenarios. Uneven traffic distribution leads to congestion and deteriorates packet losses, delay periods, power consumption handling, and finally, reduces network lifetime. The present study proposed a scheme named "Lightweight Load Balancing and Route Minimizing solution for RPL" ((LRMR)-R-2), compromising a novel Objective Function (OF) and a new routing metric based on the minimization of path routes. Also, a Probability Function was introduced, which prevents from creating the general Herd Decampment Phenomenon (HDP) problem. The proposed solution enables delayed parent joining for the nodes in order to achieve a lower rank instead of a greedy thundering, leading to multiple instabilities in the network topology. The present study evaluated (LRMR)-R-2 performance using the Contiki-Cooja simulator. To this end, (LRMR)-R-2 was examined under scenarios, including variable network sizes, transmission rates, and density. The simulation results revealed that this mechanism could enhance the average Packet Loss Ratio, End-to-End Delay, and energy consumption criteria in an environment incorporated with RPL and other comparative approaches.
机译:低功耗和有损网络(RPL)的路由协议被视为物互联网的基本信息转发选项之一,其具有灵活的设计。但是,RPL缺乏大规模交通方案中缺乏适用的负载平衡机制。不均匀的流量分配导致拥塞和恶化的数据包丢失,延迟期,功耗处理,最后,降低了网络寿命。本研究提出了一种名为“轻量级负载平衡和RPL”(RPL)(LRMR)-R-2)的方案的方案,损害了一种基于路径路径的最小化的新颖目标函数(OF)和新的路由度量。此外,引入了概率功能,这防止了产生一般畜群解剖现象(HDP)问题。该提出的解决方案使得节点的延迟父级连接才能实现较低的等级而不是贪婪的雷鸣率,导致网络拓扑中的多种不稳定性。本研究评估(LRMR)-R-2使用Contiki-Cooja模拟器的性能。为此,在场景中检查(LRMR)-R-2,包括可变网络尺寸,传输速率和密度。仿真结果表明,该机制可以增强与RPL和其他比较方法的环境中的平均分组损失比,端到端延迟和能量消耗标准。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号