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Performance Analysis and Optimization for Energy-Efficient Cooperative Transmission in Random Wireless Sensor Network

机译:随机无线传感器网络中高效节能协作传输的性能分析和优化

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This paper considers random wireless sensor networks where nodes are distributed randomly and form clusters to transmit the packets to relay clusters using cooperative multi-input-multi-output (CMIMO) technique. First, we study CMIMO energy consumption and divide it into intra-cluster energy consumption and inter-cluster energy consumption. Then we focus on analyzing the system performance in terms of overall packet error rate (PER) and energy consumption. Based on system performance metrics, we propose a new node sleep strategy, where overall energy consumption is minimized by coordinating inter-cluster transmitting energy consumption and the number of sensor nodes in activation. Compared to existing works, our contributions are (1) we consider random distribution of nodes and get a closed-form expression of overall PER that simplifies the energy minimization problem; (2) we analyze the tradeoff between overall energy consumption and nodes active rate. In simulation, we investigate the relationships among nodes active rate, inter-cluster transmitting energy consumption and the overall energy consumption. Furthermore, we discuss how these parameters are affected by the nodes density, the inter-cluster transmitting distance, the cluster radius and the intra-cluster energy consumption. Finally, we validate that the proposed nodes sleep strategy has significant energy savings compared with non-sleep cooperative transmission and direct transmission.
机译:本文考虑了随机无线传感器网络,其中节点随机分布并形成集群,以使用协作多输入多输出(CMIMO)技术将数据包传输到中继集群。首先,我们研究CMIMO能耗并将其分为群集内能耗和群集间能耗。然后,我们着重从总体分组错误率(PER)和能耗方面分析系统性能。基于系统性能指标,我们提出了一种新的节点睡眠策略,该策略通过协调集群间传输能耗和激活中的传感器节点数量,将总能耗降至最低。与现有工作相比,我们的贡献是:(1)考虑节点的随机分布,并得到总体PER的封闭形式,简化了能量最小化问题; (2)我们分析了整体能耗与节点活动率之间的折衷。在仿真中,我们研究了节点活动率,集群间传输能耗和总体能耗之间的关系。此外,我们讨论了这些参数如何受节点密度,群集间传输距离,群集半径和群集内能耗的影响。最后,我们验证了所提出的节点睡眠策略与非睡眠协作传输和直接传输相比具有显着的节能效果。

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