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DT-RRNS：用于安全可靠分布式智能传感器通信系统的路由协议设计。

DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems.

机构信息

Faculty of Mathematics and Computer Science, North-Caucasus Federal University, 355017 Stavropol, Russia.

Computer Science Department, CICESE Research Center, Ensenada 22860, Mexico.

出版信息

Sensors (Basel). 2023 Apr 4;23(7):3738. doi: 10.3390/s23073738.

DOI:10.3390/s23073738
PMID:37050798
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10098980/
Abstract

A smart city has a complex hierarchical communication system with various components. It must meet the requirements of fast connection, reliability, and security without data compromise. Internet of Things technology is widely used to provide connectivity and control solutions for smart sensors and other devices using heterogeneous networking technologies. In this paper, we propose a routing solution for Wireless Sensor Networks (WSN) and Mobile Ad hoc NETworks (MANET) with increasing speed, reliability, and sufficient security. Many routing protocols have been proposed for WSNs and MANETs. We combine the Secret Sharing Schemes (SSS) and Redundant Residual Number Systems (RRNS) to provide an efficient mechanism for a Distributed dynamic heterogeneous network Transmission (DT) with new security and reliability routing protocol (DT-RRNS). We analyze the concept of data transmission based on RRNS that divides data into smaller encoded shares and transmits them in parallel, protecting them from attacks on routes by adaptive multipath secured transmission and providing self-correcting properties that improve the reliability and fault tolerance of the entire system.

摘要

智慧城市具有复杂的分层通信系统，其中包含各种组件。它必须满足快速连接、可靠性和安全性的要求，同时不能牺牲数据。物联网技术被广泛应用于通过异构网络技术为智能传感器和其他设备提供连接和控制解决方案。在本文中，我们提出了一种用于无线传感器网络（WSN）和移动自组网（MANET）的路由解决方案，以提高速度、可靠性和足够的安全性。已经提出了许多用于 WSN 和 MANET 的路由协议。我们将秘密共享方案（SSS）和冗余残数系统（RRNS）相结合，为具有新安全性和可靠性路由协议（DT-RRNS）的分布式动态异构网络传输（DT）提供了一种有效的机制。我们分析了基于 RRNS 的数据传输概念，该概念将数据分成更小的编码份额并并行传输，通过自适应多路径安全传输来保护它们免受路由攻击，并提供自纠错特性，从而提高整个系统的可靠性和容错性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/bb332bc70d61/sensors-23-03738-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/f62898b5df99/sensors-23-03738-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/146e39e67960/sensors-23-03738-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/079a37aaff08/sensors-23-03738-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/72b01246f55d/sensors-23-03738-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/9e84ab34ec97/sensors-23-03738-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/ee46fbc473d5/sensors-23-03738-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/70c6ca581c8d/sensors-23-03738-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/bb332bc70d61/sensors-23-03738-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/f62898b5df99/sensors-23-03738-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/146e39e67960/sensors-23-03738-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/079a37aaff08/sensors-23-03738-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/72b01246f55d/sensors-23-03738-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/9e84ab34ec97/sensors-23-03738-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/ee46fbc473d5/sensors-23-03738-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/70c6ca581c8d/sensors-23-03738-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c43/10098980/bb332bc70d61/sensors-23-03738-g008.jpg

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Building the Electromagnetic Situation Awareness in MANET Cognitive Radio Networks for Urban Areas.在城市环境中的 MANET 认知无线电网络中构建电磁态势感知
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