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Computational Model for Energy Aware TDMA-based MAC Protocol for Wireless Sensor Network System

机译:基于能量识别TDMA的无线传感器网络系统的计算模型

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The development of wireless sensor networks (WSN) can be motivated by several types of applications such as habitat monitoring, smart health care system, building automation, and etc. These applications however, demand an energy-efficient WSN which can prolong the network lifetime and can provide high throughput, low latency and delay, and high packet received rate data communication. The ability of wireless network structure to maximize network lifetime is among the hot topic due to limitation of resources such as energy, processing and memory, in sensor network architecture itself. This paper proposes a novel approach that tries to reduce idle energy consumption by implementing active-sleep algorithm named energy aware A-MAC protocol. The result from the computational model shows that the algorithm can prolong the network lifetime due to efficiency in energy consumption from time slot management.
机译:无线传感器网络(WSN)的开发可以通过诸如栖息地监控,智能保健系统,楼宇自动化等若干类型的应用程序来激励这些应用,但这些应用需要一个能够延长网络寿命和网络寿命的能源效率的WSN可以提供高吞吐量,低延迟和延迟,以及高数据包接收率数据通信。由于在传感器网络架构本身中,无线网络结构最大化网络寿命最大化网络寿命的热门话题是热门话题。本文提出了一种尝试通过实现名为Enerve A-MAC协议的主动睡眠算法来降低空闲能量消耗的新方法。来自计算模型的结果表明,由于从时隙管理的能量消耗效率,该算法可以延长网络生命周期。

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