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Adaptive 3-Dimensional Topology Control for Wireless Ad-Hoc Sensor Networks

机译:无线Ad-Hoc传感器网络的自适应3维拓扑控制

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摘要

Developing an adaptive 3-dimensional (3D) topology control algorithm is important because most wireless nodes are mobile and deployed in buildings. Moreover, in buildings, wireless link qualities and topologies change frequently due to various objects and the interference from other wireless devices. Previous topology control algorithms can suffer significant performance degradation because they only use the Euclidean distance for the topology construction. In this paper, we propose a novel adaptive 3D topology control algorithm for wireless ad-hoc sensor networks, especially in indoor environments. The proposed algorithm adjusts the minimum transmit power adaptively with considering the interference effect. To construct the local topology, each node divides the 3D space, a sphere centered at itself, into k equal cones by using Platonic solid (i.e., regular t-hedron) and selects the neighbor that requires the lowest transmit power in each cone. Since the minimum transmit power values depend on the effect of interferences, the proposed algorithm can adjust topology adaptively and preserve the network connectivity reliably. To evaluate the performance of algorithms, we conduct various experiments with simulator and real wireless platforms. The experimental results show that the proposed algorithm is superior to the previous algorithms in terms of the packet delivery ratio and the energy consumption with relatively low complexity.
机译:开发自适应的3D(3D)拓扑控制算法非常重要,因为大多数无线节点都是可移动的并且部署在建筑物中。而且,在建筑物中,由于各种物体以及来自其他无线设备的干扰,无线链路质量和拓扑经常改变。先前的拓扑控制算法可能会遭受严重的性能下降,因为它们仅将欧几里德距离用于拓扑构造。在本文中,我们为无线自组织传感器网络(尤其是在室内环境中)提出了一种新颖的自适应3D拓扑控制算法。所提出的算法在考虑干扰影响的情况下自适应地调整最小发射功率。为了构造局部拓扑,每个节点通过使用柏拉图固体(即规则的T面体)将3D空间(一个以自身为中心的球体)划分为k个相等的圆锥体,并选择每个圆锥体中需要最低发射功率的邻居。由于最小发射功率值取决于干扰的影响,因此该算法可以自适应地调整拓扑并可靠地保持网络连接性。为了评估算法的性能,我们使用模拟器和真实的无线平台进行了各种实验。实验结果表明,该算法在数据包的传输率和能耗方面均优于以往的算法,且复杂度较低。

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