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A convex optimization model for topology control in network-coding-based-wireless-sensor networks

机译：基于网络编码的无线传感器网络拓扑控制的凸优化模型

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摘要

The energy consumption is one of the most common issues in the Wireless Sensor Networks (WSNs). Since the communication usually accounts as a major power consumption, there is some techniques, such as topology control and network coding, to decrease the activity of sensors' transceivers. If we utilize the techniques synchronously, then may overall performance do not increase as expected. This paper provides an optimization problem for energy consumption in WSNs, where the network employs both topology control and network-coding-based multi-cast simultaneously. This approach improves overall performance in comparison with employing them distinctly. The proposed optimization problem is transformed into a convex problem which leads to a numerous theoretical and conceptual advantages. Then the Karush-Kuhn-Tucker (KILT) optimality conditions are presented to derive analytical expressions of the globally optimal solution. Simulation results show that the proposed approach decrease end-to-end delay and has a significantly lower energy consumption than conventional ones. (C) 2017 Elsevier B.V. All rights reserved.
机译：能耗是无线传感器网络（WSN）中最常见的问题之一。由于通信通常是主要的功耗，因此有一些技术（例如拓扑控制和网络编码）可以减少传感器收发器的活动。如果我们同步利用这些技术，则总体性能可能不会按预期提高。本文针对WSN的能耗提出了一个优化问题，该网络同时采用拓扑控制和基于网络编码的组播。与明显采用它们相比，此方法可提高整体性能。所提出的优化问题被转换为凸问题，这导致了许多理论和概念上的优势。然后提出了Karush-Kuhn-Tucker（KILT）最优性条件，以导出全局最优解的解析表达式。仿真结果表明，与传统方法相比，该方法减少了端到端延迟，并且能耗大大降低。 （C）2017 Elsevier B.V.保留所有权利。

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