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首页> 外文期刊>AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication >Node-power-based MAC protocol with adaptive listening period for wireless sensor networks
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Node-power-based MAC protocol with adaptive listening period for wireless sensor networks

机译：基于节点功率的MAC协议，具有无线传感器网络的自适应聆听周期

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AbstractOne of the major challenges during initiation of Wireless Sensor Networks (WSNs) is the energy conservation. Knowing that the transceiver is the main source of energy dissipation, we have to design a suitable protocol at the Medium Access Control (MAC) layer to maximize the network lifetime. We are interested in reducing the energy consumption in such networks with very little degradation in the delay profile. In this paper, a Node-power-based MAC protocol with adaptive listening period for WSNs is presented. The proposed protocol alleviates the problems of unfair distribution of power among nodes in the original Sensor-MAC (S-MAC) and Multi-Layer MAC (ML-MAC) protocols. Simulation results show that the proposed MAC protocol provides an enhanced performance compared to both the S-MAC and ML-MAC protocols. The simulation results show also that the proposed MAC protocol consumes less energy than those consumed by both the S-MAC and ML-MAC protocols. The proposed protocol saves about 61.1% of the energy consumed by the S-MAC protocol. It also achieves 17% energy saving as compared to the ML-MAC protocol in the non-coherent mode. Moreover, in the coherent mode, the proposed protocol saves 73% and 23.1% of the energy consumed by the S-MAC and ML-MAC protocols, respectively.]]>
机译：<！[cdata [ 抽象 在无线传感器网络（WSNS）启动期间的主要挑战之一是节能。知道收发器是能量耗散的主要来源，我们必须在媒体访问控制（MAC）层处设计合适的协议，以最大化网络寿命。我们有兴趣降低这些网络中的能源消耗，在延迟配置文件中具有很少的劣化。本文介绍了一种基于节点功率的MAC协议，具有用于WSN的自适应聆听周期。拟议的协议减轻了原始传感器 - MAC（S-MAC）和多层MAC（ML-MAC）协议中的节点之间不公平分配的问题。仿真结果表明，与S-MAC和ML-MAC协议相比，所提出的MAC协议提供了增强的性能。仿真结果还示出了所提出的MAC协议的能量较少，而不是S-MAC和ML-MAC协议所消耗的能量。拟议的协议可节省大约61.1％的S-MAC协议消耗的能量。与非相干模式中的ML-MAC协议相比，它还实现了17％的节能。此外，在相干模式中，所提出的方案分别节省了S-MAC和ML-MAC协议所消耗的能量73％和23.1％。 < / ce：摘要>]]>

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