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首页> 外文期刊>Wireless personal communications: An Internaional Journal >An Efficient QoS Based Data Packet Transmission in Wireless Sensor Networks Using OREA
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An Efficient QoS Based Data Packet Transmission in Wireless Sensor Networks Using OREA

机译:使用orea的无线传感器网络中基于QoS的基于QoS的数据包传输

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Wireless Sensor Networks (WSNs) are often used for observing physical world applications which performs the effective automation process. Sensor Networks contain numerous nodes that can sense and gather statistical data. Data gathering become obvious by sensor nodes over the sensor deployed environment. These sensor nodes function by the power source, i.e. battery. The battery has been fixed in the sensor nodes. So it is difficult to replace or remove the battery from the sensor nodes. One of the prime key design issues in the Wireless Sensor Networks is power consumption i.e. energy. When the sensed data is transmitted to the sink then sensor nodes consumes the energy from battery. Since nodes are functioning by this battery power. The proposed algorithm of Optimized Radio Energy Algorithm (OREA) provides efficient energy dissipation and data transmission to the sink is quite faster. The dimension of overall performance of a service in the WSNs is known as Quality of Service (QoS). The Quality of Service metrics traffic load and packet delivery ratio has been compared OREA with existing algorithms such as random and homogenous selection. OREA provides better QOS delivery and also prolonged battery life time in order to achieve the efficient usage of power. The simulation of MATLAB results manifested to attain the network life time has prolonged in comparison with existing algorithms.
机译:无线传感器网络(WSNS)通常用于观察执行有效自动化过程的物理世界应用。传感器网络包含许多可以感测和收集统计数据的节点。传感器节点在传感器部署环境中的传感器节点变得显而易见。这些传感器节点由电源,即电池功能。电池已固定在传感器节点中。因此,难以从传感器节点替换或取下电池。无线传感器网络中的主要关键设计问题之一是功耗即能量。当感测数据被传输到接收器时,传感器节点消耗电池的能量。由于节点通过该电池电量运行。所提出的优化无线电能算法(OREA)算法(OREA)为水槽提供有效的能量耗散和数据传输是更快的。 WSN中服务的整体性能的维度称为服务质量(QoS)。服务质量计量流量负荷和分组传递比已经将OREA与现有算法进行比较,例如随机和均匀选择。奥雷提供更好的QoS交付,并且还延长电池寿命,以实现电力的有效使用情况。与现有算法相比,表现为获得网络寿命时间的MATLAB结果的模拟已经延长了。

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