无线传感器网络多层MAC自适应监听

S. Radha, G. Bala, P. Nagabushanam
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引用次数: 3

摘要

一般来说,WSN指的是部署用于监视特定环境的一组节点。节点通常是保持高能量以延长网络寿命的无线传感器。如果节点在整个模拟时间内持续工作,甚至在没有数据包的情况下也会浪费节点的能量。本文提出了MAC的两种创新方法,即(1)MAC中的数学建模和(2)带中继节点的MAC。我们提出了一种基于多层方法的MAC新技术。本文利用NS-2.35对一个带多层和不带多层的MAC进行了仿真。在节点的睡眠和空闲状态下集成自适应侦听的SMAC方法将利用更好的能源效率和吞吐量。结果表明,ML-MAC是一种适合无线传感器网络应用的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multilayer MAC with Adaptive listening for WSN
In general, WSN refers to a group of nodes that is deployed to monitor a particular environment. The nodes are usually wireless sensors that maintain high energy to enhance the network lifetime. The energy of a node will be wasted if the node keeps on working throughout the simulation time or even when it has no packets. This paper presents two innovative approaches for MAC. They are (1) Mathematical Modeling in MAC and (2) MAC with Relay Nodes. We proposed a new technique for MAC with a multilayer approach. In this paper, a MAC with and without multilayer is simulated using NS-2.35. SMAC approach integrated with adaptive listening in the sleep and idle states for the nodes will leverage a better energy efficiency and throughput. The final result shows that the ML-MAC is the suitable method for WSN applications.
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