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Packet Size Optimization in Wireless Sensor Networks for Smart Grid Applications

机译:用于智能电网应用的无线传感器网络中的数据包大小优化

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Wireless sensor networks (WSNs) are envisioned to be an important enabling technology for smart grid (SG) due to the low cost, ease of deployment, and versatility of WSNs. Limited battery energy is the tightest resource constraint on WSNs. Transmission power control and data packet size optimization are powerful mechanisms for prolonging network lifetime and improving energy efficiency. Increasing transmission power will reduce the bit error rate (BER) on some links, however, utilizing the highest power level will lead to inefficient use of battery energy because on links with low path loss achieving low BER is possible without the need to use the highest power level. Utilizing a large packet size is beneficial for increasing the payload-to-overhead ratio, yet, lower packet sizes have the advantage of lower packet error rate. Furthermore, transmission power level assignment and packet size selection are interrelated. Therefore, joint optimization of transmission power level and packet size is of utmost importance in WSN lifetime maximization. In this study, we construct a detailed link layer model by employing the characteristics of Tmote Sky WSN nodes and channel characteristics based on actual measurements of SG path loss for various environments. A novel mixed integer programming framework is created by using the aforementioned link layer model for WSN lifetime maximization by joint optimization of transmission power level and data packet size. We analyzed the WSN performance by systematic exploration of the parameter space for various SG environments through the numerical solutions of the optimization model.
机译:由于无线传感器网络的低成本,易于部署和多功能性,无线传感器网络(WSN)有望成为智能电网(SG)的重要启用技术。有限的电池能量是WSN上最严格的资源限制。传输功率控制和数据包大小优化是延长网络寿命和提高能源效率的强大机制。传输功率的增加将降低某些链路上的误码率(BER),但是,利用最高功率水平将导致电池能量的利用效率低下,因为在路径损耗低的链路上可以实现较低的BER,而无需使用最高的能量等级。利用大的分组大小有利于增加有效负载与开销的比率,但是,较小的分组大小具有较低分组错误率的优点。此外,传输功率等级分配和分组大小选择是相互关联的。因此,在WSN生命周期最大化中,对传输功率水平和数据包大小进行联合优化至关重要。在这项研究中,我们根据各种环境下SG路径损耗的实际测量结果,利用Tmote Sky WSN节点的特性和信道特性,构建了详细的链路层模型。通过使用上述链路层模型,通过联合优化发射功率电平和数据分组大小,最大化WSN寿命,创建了一种新颖的混合整数编程框架。我们通过优化模型的数值解,通过系统探索各种SG环境的参数空间来分析WSN性能。

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