基于轮询技术的流量感知路由在软件定义WSN中的应用

R. Senkamalavalli, M. Nalini, G. Kalaimani, P. Iyyanar
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引用次数: 0

摘要

在现实世界中,无线传感器网络(WSNs)的多种用途可能需要大量传感器节点的分散。采用均衡负载技术的传统无线传感器网络难以实现自适应性和灵活性。软件定义网络(SDN)是一个很好的选择,因为它可以让您看到使用了哪些资源,还可以设置边界。在WSN中,最高的流量负载会导致数据队列溢出。因此,重要的数据可能会丢失。同时,传感器节点的能量会迅速耗尽,整个网络的寿命也会受到影响。为了解决这一问题,提出了基于轮询技术的流量感知路由算法。网络包含两个重要的功能,即网络的形成和网络的作用。这种方法通过控制报文和数据报文获取或转发报文来识别流量。在这种方法中,在拥塞情况下使用轮询技术。因此,数据被不断地转发。这样,接收节点就能有效地接收到所有的数据包。仿真结果表明,在软件定义WSN中,TARR技术提高了网络吞吐量,同时减少了丢包和延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic Aware Routing with Round Robin Technique for Equating the Load in Software Defined WSN
Multiple uses of Wireless Sensor Networks (WSNs) in the real world would need the probable dispersion of a large number of sensor nodes. The adaptability and flexibility is very difficult in the traditional WSNs which uses balancing load technology. Software-defined networking (SDN) is a good choice because it lets you see what resources are used and also set up boundaries. In WSN, the highest traffic load causes an overflow of the data queue. As a result, important data should be lost. Also, the sensor node’s energy is rapidly drained, and the whole network’s lifespan is damaged. Traffic-aware routing with round robin technique (TARR) for equating the load in a software-defined WSN is proposed to solve this problem. The network contains two significant functions, namely, the formation of the network and the action of the network. This approach recognizes the traffic by obtaining or forwarding packets via control and data messages. In this approach, the round-robin technique is used during congestion situations. Thus, the data is forwarded constantly. As a result, the recipient node receives all data packets efficiently. The results of the simulation demonstrate that the TARR technique boosts network throughput while simultaneously reducing both packet loss and latency in a software-defined WSN.
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