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An optimal network coding based backpressure routing approach for massive IoT network
Wireless Networks ( IF 2.1 ) Pub Date : 2020-03-06 , DOI: 10.1007/s11276-020-02284-5
S. Malathy , V. Porkodi , A. Sampathkumar , M. H. D. Nour Hindia , Kaharudin Dimyati , Valmik Tilwari , Faizan Qamar , Iraj Sadegh Amiri

Abstract

In order to mitigate the power consumption issue for the sensor’s nodes, an efficient power optimized routing protocol is needed. Therefore, this paper proposes a network coding backpressure routing (NCBPR) routing scheme for a large-scale Internet of Things (IoT) networks, which exploits the backpressure algorithm in order to divert packets flow. In the network, the packets are flowing from the highly congested node to low congested node, which helps to balance the load and optimized the fair use of the battery power of all the participating nodes. It divides the network into the small clusters, where the selection of clusters head depends upon an additional parameter of battery power apart from other optimum path parameters. It also employs an efficient data aggregation mechanism, which improves the throughput of the network by eliminating redundant packets. The network has been designed by considering 300 nodes in a network and the results have been drawn in terms of network throughput, packet delivery ratio and energy consumption. The results are presented in comparison with conventional well-known information-fusion-based role assignment (InFRA) and data routing for in-network aggregation (DRINA) routing schemes. The results prove that the proposed NCBPR scheme delivers significant improvement, such as throughput which increased by 21.38 and 12.13%, packet delivery ratio improved by 24.73 and 11.38%, and sensors node’s energy consumption is decreased by 61.46 and 44.35% as compared to conventional InFRA and DRINA schemes, respectively.



中文翻译:

面向大规模物联网的基于最优网络编码的背压路由方法

摘要

为了减轻传感器节点的功耗问题,需要一种有效的功耗优化路由协议。因此,本文提出了一种用于大规模物联网(IoT)网络的网络编码反压路由(NCBPR)路由方案,该方案利用反压算法来转移数据包流。在网络中,数据包从高度拥塞的节点流向低拥挤的节点,这有助于平衡负载并优化所有参与节点的电池电量的合理使用。它将网络划分为小簇,簇头的选择取决于电池电量的其他参数以及其他最佳路径参数。它还采用了有效的数据聚合机制,通过消除冗余数据包提高了网络的吞吐量。通过考虑网络中的300个节点来设计网络,并从网络吞吐量,数据包传输率和能耗方面得出了结果。与传统的众所周知的基于信息融合的角色分配(InFRA)和网络内聚合(DRINA)路由方案的数据路由进行比较,给出了结果。结果证明,与传统的InFRA相比,提出的NCBPR方案具有显着的改善,例如吞吐量分别增加了21.38%和12.13%,分组传送率分别提高了24.73和11.38%,传感器节点的能耗降低了61.46和44.35%。和DRINA方案。通过考虑网络中的300个节点来设计网络,并从网络吞吐量,数据包传输率和能耗方面得出了结果。与传统的众所周知的基于信息融合的角色分配(InFRA)和网络内聚合(DRINA)路由方案的数据路由进行比较,给出了结果。结果证明,与传统的InFRA相比,提出的NCBPR方案具有显着的改善,例如吞吐量分别增加了21.38%和12.13%,分组传送率分别提高了24.73和11.38%,传感器节点的能耗降低了61.46和44.35%。和DRINA方案。通过考虑网络中的300个节点来设计网络,并从网络吞吐量,数据包传输率和能耗方面得出了结果。与传统的众所周知的基于信息融合的角色分配(InFRA)和网络内聚合(DRINA)路由方案的数据路由进行比较,给出了结果。结果证明,与传统的InFRA相比,提出的NCBPR方案具有显着的改善,例如吞吐量分别增加了21.38%和12.13%,分组传送率分别提高了24.73和11.38%,传感器节点的能耗降低了61.46和44.35%。和DRINA方案。与传统的众所周知的基于信息融合的角色分配(InFRA)和网络内聚合(DRINA)路由方案的数据路由进行比较,给出了结果。结果证明,与传统的InFRA相比,提出的NCBPR方案具有显着的改善,例如吞吐量分别增加了21.38%和12.13%,分组传送率分别提高了24.73和11.38%,传感器节点的能耗降低了61.46和44.35%。和DRINA方案。与传统的众所周知的基于信息融合的角色分配(InFRA)和网络内聚合(DRINA)路由方案的数据路由进行比较,给出了结果。结果证明,与传统的InFRA相比,提出的NCBPR方案具有显着的改善,例如吞吐量分别提高了21.38和12.13%,数据包传递率分别提高了24.73和11.38%,传感器节点的能耗降低了61.46和44.35%。和DRINA方案。

更新日期:2020-03-06
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