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首页> 外文期刊>Journal of network and computer applications >Opportunistic topology control for ad hoc wireless network survivability enhancement based on LIMOS model
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Opportunistic topology control for ad hoc wireless network survivability enhancement based on LIMOS model

机译：基于催胶模型的临时无线网络生存性增强机会拓扑控制

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摘要

Traditional topology controls existed on wireless networks are mostly based on a deterministic link model which only takes the decisive links into consideration. All these algorithms do not utilize the benefit of wide existence of lossy links. In a more realistic environment, lossy links are tremendous. Failure to utilize these links leads to low resource usage and relatively low network survivability. In this paper, we propose a lossy probabilistic network model with Obstacle Shadow awareness ability based on the quasi-UDG Link Model (LIMOS model). On the basis of this model, we design a Lossy Link Aware Opportunistic Topology Control (LOLA-OTC) algorithm which aims to utilize high quality lossy links in order to enhance the network performance. The computational complexity of the LOLA-OTC is O(Delta n(2) + Delta n) and the total message complexity of LOLA-OTC is O(n). We also present performance evaluation results on the energy consumption, packet loss ratio, and network throughput according to different node density settings through extensive simulations under ns2 network simulator. The numerical results demonstrate that the LOLA-OTC can obtain better network performance compared to other non-opportunistic topology control algorithms in most cases.
机译：无线网络上存在的传统拓扑控制主要基于确定性链接模型，该模型仅考虑决定性链接。所有这些算法都不利用宽松的损失链接的益处。在一个更现实的环境中，有损的联系是巨大的。未能利用这些链接导致资源使用率低，网络生存能力相对较低。在本文中，我们提出了一种基于准UDG链路模型（LIMOS模型）的障碍镜头意识能力的有损概率网络模型。在此模型的基础上，我们设计了一个有损的链接了解机会拓扑控制（Lola-OTC）算法，该算法旨在利用高质量的损失链接，以提高网络性能。 LOLA-OTC的计算复杂度是O（ΔN（2）+ delta n）和lola-otc的总消息复杂性是o（n）。通过NS2网络模拟器下的广泛模拟，我们还根据不同的节点密度设置呈现能量消耗，丢包比和网络吞吐量的绩效评估。数值结果表明，在大多数情况下，与其他非机会拓扑控制算法相比，LOLA-OTC可以获得更好的网络性能。

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