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Communication Energy Modeling and Optimization through Joint Packet Size Analysis of BSN and WiFi Networks

机译:通过BSN和WiFi网络的联合数据包大小分析,进行通信能量建模和优化

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In this paper, we present an optimal packet size solution that optimizes the communication energy consumption in the heterogeneous wireless networks. More specifically, we consider a heterogeneous network system composed of a body sensor network (BSN) and a WiFi network. Then, based on the analysis of data communication in the BSN and WiFi (BSN-WiFi) network, we formulate a communication energy consumption optimization model with the constraints of throughput and time delay. Mathematically, we convert this model into a geometric programming problem, which is then numerically solved. The optimal solution can be applied in both BSN and WiFi network to dynamically select packet payload sizes according to real-time packet delivery ratios (PDRs). Since PDRs are time-varying, we tabulate a packet payload size lookup table for online packet size selection using PDRs as indices. Finally, we collect PDRs from a deployed BSN-WiFi network and evaluate the energy optimization model. The performance evaluation results show that, in comparison with fixed packet size solutions, our optimal solutions achieve up to 70 percent energy savings in a BSN(TDMA)-WiFi network and 68 percent in a BSN(CSMA)-WiFi network.
机译:在本文中,我们提出了一种优化数据包大小的解决方案,该解决方案可优化异构无线网络中的通信能耗。更具体地说,我们考虑由身体传感器网络(BSN)和WiFi网络组成的异构网络系统。然后,在对BSN和WiFi(BSN-WiFi)网络中的数据通信进行分析的基础上,建立了受吞吐量和时延约束的通信能耗优化模型。在数学上,我们将此模型转换为几何规划问题,然后对其进行数值求解。最佳解决方案可以同时应用于BSN和WiFi网络中,以根据实时数据包传输率(PDR)动态选择数据包有效负载大小。由于PDR随时间变化,因此我们将以PDR为索引的数据包有效负载大小查找表制成表格,以便在线选择数据包大小。最后,我们从已部署的BSN-WiFi网络收集PDR,并评估能源优化模型。性能评估结果表明,与固定数据包大小的解决方案相比,我们的最佳解决方案在BSN(TDMA)-WiFi网络中可节省多达70%的能源,在BSN(CSMA)-WiFi网络中可节省68%的能源。

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