基于马尔可夫链的移动Ad Hoc网络链路寿命预测

Sayed Chhattan Shah, Sunil Kumar
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引用次数: 1

摘要

移动自组织网络为物联网和网络物理系统应用提供通信和网络服务。移动自组网在数据传输过程中,由于路由的重新发现和重新选择,链路故障增加了通信成本和能耗成本。它还可能导致通信失败,从而导致网络物理系统应用失败。为了避免数据传输过程中链路出现故障,需要建立链路寿命预测模型。本文提出了两种链路寿命预测模型:LLPC和LLPH。LLPC模型根据节点的迁移率和剩余能量等当前信息来预测链路的生存期,而LLPH模型则利用链路生存期间隔的历史来预测链路的生存期。与现有模型相比,LLPC模型考虑了节点的移动性和剩余能量,而LLPH模型依赖于链路的历史,而不是用户的移动模式或社会关系。
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A Markov Chain Based Link Lifetime Prediction in Mobile Ad Hoc Networks
A mobile ad hoc network provides communication and network services to internet of things and cyber physical system applications. The failure of a link in mobile ad hoc network during data transmission increases communication and energy consumption cost due to route rediscovery and reselection process. It may also result into a communication failure and therefore cyber physical system application failure. To avoid link failure during data transmission, a link lifetime prediction model is required. This paper proposes two link lifetime prediction models: LLPC and LLPH. LLPC model predicts link lifetime based on current information of nodes such as mobility and residual energy whereas LLPH uses history of link lifetime intervals to predict the link lifetime. Compared to existing models, LLPC model considers node mobility as well as residual energy whereas LLPH relies on history of links rather than user's mobility patterns or social relationships.
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