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关于具有多个汇聚节点的无线传感器网络的可靠性

On the Reliability of Wireless Sensor Networks with Multiple Sinks.

作者信息

Shakhov Vladimir, Migov Denis

机构信息

Department of Electrical and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.

Institute of Computational Mathematics and Mathematical Geophysics, 630090 Novosibirsk, Russia.

出版信息

Sensors (Basel). 2024 Aug 23;24(17):5468. doi: 10.3390/s24175468.

DOI:10.3390/s24175468
PMID:39275387
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11398196/
Abstract

The convergence of heterogeneous wireless sensor networks provides many benefits, including increased coverage, flexible load balancing capabilities, more efficient use of network resources, and the provision of additional data by different types of sensors, thus leading to improved customer service based on more complete information. However, despite these advances, the challenge of ensuring reliability and survivability remains due to low-cost sensor requirements and the inherent unreliability of the wireless environment. Integrating different sensor networks and unifying protocols naturally leads to the creation of a network with multiple sinks, necessitating the exploration of new approaches to rational reliability assurance. The failure of some sensors does not necessarily lead to a shutdown of the network, since other sensors can duplicate information and deliver data to sinks via an increased number of alternative routes. In this paper, the reliability indicator is defined as the probability that sinks can collect data from a given number of sensors. In this context, a dedicated reliability metric is introduced and examined for its effectiveness. This metric is computed using an algorithm rooted in the modified factoring method. Furthermore, we introduce a heuristic algorithm designed for optimal sink placement in wireless sensor networks to achieve the highest level of network reliability.

摘要

异构无线传感器网络的融合带来了诸多好处,包括扩大覆盖范围、具备灵活的负载均衡能力、更高效地利用网络资源以及通过不同类型的传感器提供额外数据,从而基于更完整的信息提升客户服务质量。然而,尽管取得了这些进展,但由于低成本传感器的要求以及无线环境固有的不可靠性,确保可靠性和生存能力的挑战依然存在。整合不同的传感器网络并统一协议自然会导致创建一个具有多个汇聚节点的网络,这就需要探索新的合理可靠性保证方法。某些传感器的故障不一定会导致网络关闭,因为其他传感器可以复制信息并通过增加的替代路由将数据传送到汇聚节点。在本文中,可靠性指标被定义为汇聚节点能够从给定数量的传感器收集数据的概率。在此背景下,引入并检验了一种专用的可靠性度量标准及其有效性。该度量标准使用基于改进分解方法的算法进行计算。此外,我们引入了一种启发式算法,用于在无线传感器网络中进行最优汇聚节点放置,以实现最高水平的网络可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/bbcbbf3c0ca9/sensors-24-05468-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/87f40a748e8c/sensors-24-05468-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/ad328fd8b30d/sensors-24-05468-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/17d232e57828/sensors-24-05468-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/cbc74028eed8/sensors-24-05468-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/77f437aa596b/sensors-24-05468-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/f4b18dbe2331/sensors-24-05468-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/9dda3f904f1c/sensors-24-05468-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/bbcbbf3c0ca9/sensors-24-05468-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/87f40a748e8c/sensors-24-05468-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/ad328fd8b30d/sensors-24-05468-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/17d232e57828/sensors-24-05468-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/cbc74028eed8/sensors-24-05468-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/77f437aa596b/sensors-24-05468-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/f4b18dbe2331/sensors-24-05468-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/9dda3f904f1c/sensors-24-05468-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e9/11398196/bbcbbf3c0ca9/sensors-24-05468-g008.jpg

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