Suppr超能文献

一种自适应拓扑管理方案,用于维持无线传感器网络中的网络连接。

An Adaptive Topology Management Scheme to Maintain Network Connectivity in Wireless Sensor Networks.

机构信息

Department of Electrical and Computer Engineering, Wah Campus, COMSATS University Islamabad, Wah 47040, Pakistan.

Department of Computer Science and Information Technology, University of Malakand, Chakdara 18800, Pakistan.

出版信息

Sensors (Basel). 2022 Apr 8;22(8):2855. doi: 10.3390/s22082855.

Abstract

The roots of Wireless Sensor Networks (WSNs) are tracked back to US military developments, and, currently, WSNs have paved their way into a vast domain of civil applications, especially environmental, critical infrastructure, habitat monitoring, etc. In the majority of these applications, WSNs have been deployed to monitor critical and inaccessible terrains; however, due to their unique and resource-constrained nature, WSNs face many design and deployment challenges in these difficult-to-access working environments, including connectivity maintenance, topology management, reliability, etc. However, for WSNs, topology management and connectivity still remain a major concern in WSNs that hampers their operations, with a direct impact on the overall application performance of WSNs. To address this issue, in this paper, we propose a new topology management and connectivity maintenance scheme called a Tolerating Fault and Maintaining Network Connectivity using Array Antenna (ToMaCAA) for WSNs. ToMaCAA is a system designed to adapt to dynamic structures and maintain network connectivity while consuming fewer network resources. Thereafter, we incorporated a Phase Array Antenna into the existing topology management technologies, proving ToMaCAA to be a novel contribution. This new approach allows a node to connect to the farthest node in the network while conserving resources and energy. Moreover, data transmission is restricted to one route, reducing overheads and conserving energy in various other nodes' idle listening state. For the implementation of ToMaCAA, the MATLAB network simulation platform has been used to test and analyse its performance. The output results were compared with the benchmark schemes, i.e., Disjoint Path Vector (DPV), Adaptive Disjoint Path Vector (ADPV), and Pickup Non-Critical Node Based k-Connectivity (PINC). The performance of ToMaCAA was evaluated based on different performance metrics, i.e., the network lifetime, total number of transmitted messages, and node failure in WSNs. The output results revealed that the ToMaCAA outperformed the DPV, ADPV, and PINC schemes in terms of maintaining network connectivity during link failures and made the network more fault-tolerant and reliable.

摘要

无线传感器网络(WSN)的起源可以追溯到美国的军事发展,目前,WSN 已经在广泛的民用领域中得到应用,特别是在环境、关键基础设施、栖息地监测等领域。在这些应用中,WSN 通常被部署到监测关键和难以到达的区域;然而,由于其独特的资源受限性质,WSN 在这些难以进入的工作环境中面临许多设计和部署挑战,包括连接维护、拓扑管理、可靠性等。然而,对于 WSN 来说,拓扑管理和连接仍然是 WSN 的主要关注点,这会影响其操作,直接影响 WSN 的整体应用性能。为了解决这个问题,在本文中,我们提出了一种新的拓扑管理和连接维护方案,称为使用阵列天线容忍故障和维护网络连接(ToMaCAA)。ToMaCAA 是一种旨在适应动态结构和维护网络连接同时消耗更少网络资源的系统。此后,我们将相控阵天线纳入现有的拓扑管理技术中,证明了 ToMaCAA 的新颖性。这种新方法允许节点连接到网络中最远的节点,同时节约资源和能量。此外,数据传输仅限于一条路由,减少了开销并在其他节点的空闲侦听状态中节约了能量。为了实现 ToMaCAA,我们使用 MATLAB 网络仿真平台对其性能进行了测试和分析。将输出结果与基准方案(即不相交路径向量(DPV)、自适应不相交路径向量(ADPV)和基于非关键节点选择的 k 连通性(PINC))进行了比较。根据不同的性能指标,如网络寿命、传输消息的总数和节点故障,对 ToMaCAA 的性能进行了评估。结果表明,在链路故障期间,ToMaCAA 在保持网络连接方面优于 DPV、ADPV 和 PINC 方案,使网络更具容错性和可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6c/9028011/c6e82ee6f0a6/sensors-22-02855-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验