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Transmission cost minimization with vulnerability constraint in wireless sensor networks

机译:无线传感器网络中具有漏洞约束的传输成本最小化

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In wireless sensor networks, one of the primary requirements is that sensor data derived from the physical world can be interchanged with all interested collaborative entities in a secure and reliable manner. Due to highly unpredictable environments where sensor nodes are usually deployed, minimizing the transmission cost with jointly taking into account the security of the whole network poses a challenging task. With this end, this paper considers an optimization problem of deriving the minimum cost paths from multiple source nodes, which are deployed in the area of interest, to the sink node under the constraint that the vulnerability of the whole network is under the given level. The vulnerability is defined as a metric which characterizes the degree of edge and node sharing among different paths. With the defined vulnerability, vulnerability-constrained minimum cost paths problem is formulated and two polynomial-time algorithms are developed for deriving the optimal paths. The necessary condition for the existence of the optimal solution, and the optimality of the proposed algorithms are analyzed in the theoretical. Extensive simulations show the significant performance enhancements achieved by our proposed algorithms.
机译:在无线传感器网络中,主要要求之一是可以以安全可靠的方式与所有感兴趣的协作实体交换从物理世界派生的传感器数据。由于通常在其中部署传感器节点的高度不可预测的环境,因此,在共同考虑整个网络的安全性的情况下,将传输成本降至最低是一项艰巨的任务。为此,本文考虑了一个优化问题,即在整个网络的脆弱性都在给定级别的约束下,从部署在目标区域中的多个源节点到接收器节点的最小成本路径。漏洞定义为一种度量标准,用于表征不同路径之间的边缘和节点共享程度。在定义了漏洞的情况下,制定了受漏洞限制的最小成本路径问题,并开发了两个多项式时间算法来推导最佳路径。从理论上分析了存在最优解的必要条件,以及所提出算法的最优性。大量的仿真表明,我们提出的算法可以显着提高性能。

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