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FDR: fault detection and recovery scheme for wireless sensor networks using virtual grid

机译:FDR:使用虚拟网格的无线传感器网络的故障检测和恢复方案

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摘要

Due to autonomous operation and constrained resources, nodes of a wireless sensor network are susceptible to failures. Due to multiple node failures, network topology may change or partition into many disconnected segments causing data/query path breakage. Early detection and recovery of faults is desirable in most scenarios. Also, due to limited battery life of a node, the solution must consume minimum possible energy for prolonged network operation. Hence in this paper, we propose a Fault Detection and Recovery scheme which is an energy efficient fault detection and recovery strategy that achieves minimum data loss by efficiently replacing faulty node on the present route or by finding full or partial alternate paths. Topology is managed by constructing a virtual grid over the entire network which helps in managing dynamically changing network topology easily and makes failure detection and recovery effective. It also helps to create energy efficient path between a source and a sink by finding shortest possible path. Further, nodes'cooperation is exploited to create certain zones on the data/ query path which provides alternate nodes or possible alternate paths if required on some node failures. Thus, scheme achieves fault tolerance and at the same time achieves energy efficiency by always selecting shortest path for data delivery between source and sink. Analytical and simulation study reveals the significant improvement in terms of fault detection and energy conservation over existing similar schemes.
机译:由于自主操作和资源受限,无线传感器网络的节点容易出现故障。由于多个节点故障,网络拓扑可能会更改或划分为许多未连接的网段,从而导致数据/查询路径损坏。在大多数情况下,需要及早发现并恢复故障。同样,由于节点的电池寿命有限,该解决方案必须消耗尽可能少的能量以延长网络运行时间。因此,在本文中,我们提出了一种故障检测和恢复方案,该方案是一种节能的故障检测和恢复策略,通过有效替换当前路由上的故障节点或查找全部或部分备用路径,可以实现最小的数据丢失。通过在整个网络上构建虚拟网格来管理拓扑,这有助于轻松管理动态变化的网络拓扑,并使故障检测和恢复有效。通过找到可能的最短路径,它还有助于在源和接收器之间创建节能路径。此外,利用节点的合作来在数据/查询路径上创建某些区域,该区域提供备用节点或某些节点故障时可能需要的备用路径。因此,该方案通过始终选择用于在源和宿之间进行数据传递的最短路径来实现容错能力,并同时实现能源效率。分析和仿真研究表明,与现有的类似方案相比,故障检测和节能方面有了显着改善。

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