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Realistic energy model based energy balanced optimization for Low Rate WPAN network

机译:基于现实能源模型的低速率WPAN网络的能量平衡优化

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In multi-hop wireless sensor networks, traffic flow patterns are often characterized by many-to-one resulting in energy imbalance. Previous research has proposed many approaches to solve this issue. However, a common limitation is to use the idealized energy model such as ldquofirst order radio modelrdquo, which is the idealized estimation for RF transmission energy cost of the sensor node. In this paper, a realistic and representative Low-Rate Wireless Personal Area Networks (LR-WPAN) RF transceiver energy model is developed from the measured data on Chipcon CC2420. The approach used for developing the model is general, and can be used for any radio transceiver, provided the transition times, power levels and corresponding energy cost are known. Furthermore, based on this energy model, an optimized energy balanced (OEB) transmission scheme is proposed and applied to maximize the network lifetime. To illustrate the performance of OEB, simulations show that the lifetime of a WSN using OEB scheme can last 2.2-2.5 times of that using another energy-efficient traffic plan: direct transmission with power control policy (PCP).
机译:在多跳无线传感器网络中,流量模式通常以多对一为特征,从而导致能量不平衡。先前的研究提出了许多解决此问题的方法。然而,一个共同的限制是使用理想化的能量模型,例如“一阶无线电模型”,这是对传感器节点的RF传输能量成本的理想化估计。本文根据Chipcon CC2420上的测量数据建立了一个现实且具有代表性的低速率无线个人局域网(LR-WPAN)RF收发器能量模型。用于开发模型的方法是通用的,并且可以用于任何无线电收发器,只要知道转换时间,功率水平和相应的能源成本即可。此外,基于该能量模型,提出了一种优化的能量平衡(OEB)传输方案,并将其应用于最大化网络寿命。为了说明OEB的性能,仿真显示,使用OEB方案的WSN的寿命可以是使用另一种高能效流量计划(具有功率控制策略(PCP)的直接传输)的WSN寿命的2.2-2.5倍。

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