Optimal Secure Spectrum-Efficient Routing in Multihop Wireless Networks

This article addresses the problem of finding the source-to-destination path that maximizes the secrecy spectral efficiency in a multihop wireless network that contains a malicious eavesdropper node. Since the resulting routing metric is nonisotonic, the problem cannot be solved by standard shortest path algorithms. However, we provide a polynomial-time algorithm that provides guaranteed optimal solutions to the problem. Our algorithm hinges upon the divide-and-conquer principle from optimization theory and a modification to the Bellman–Ford routing algorithm. Moreover, we illustrate that the case of multiple colluding eavesdropper nodes can be solved to optimality using the same framework of a single eavesdropper but prove that the case of multiple noncolluding eavesdropper nodes is NP-complete to solve. For the latter, we show that a modified Dijkstra algorithm can produce approximate solutions that are guaranteed to have no cycles. Our numerical results further illustrate the efficiency of our proposed approach.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-10-11
DOI
https://doi.org/10.1109/jsen.2024.3474922
Citations
2
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
0.70

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article

Optimal Secure Spectrum-Efficient Routing in Multihop Wireless Networks

Saeed Abdallah, Mohamed Saad
2 citations
IEEE Sensors Journal
Cooperative Communication and Network Coding
0.70
article

Optimal Secure Spectrum-Efficient Routing in Multihop Wireless Networks

Saeed Abdallah, Mohamed Saad
article en
2 citations

Abstract

This article addresses the problem of finding the source-to-destination path that maximizes the secrecy spectral efficiency in a multihop wireless network that contains a malicious eavesdropper node. Since the resulting routing metric is nonisotonic, the problem cannot be solved by standard shortest path algorithms. However, we provide a polynomial-time algorithm that provides guaranteed optimal solutions to the problem. Our algorithm hinges upon the divide-and-conquer principle from optimization theory and a modification to the Bellman–Ford routing algorithm. Moreover, we illustrate that the case of multiple colluding eavesdropper nodes can be solved to optimality using the same framework of a single eavesdropper but prove that the case of multiple noncolluding eavesdropper nodes is NP-complete to solve. For the latter, we show that a modified Dijkstra algorithm can produce approximate solutions that are guaranteed to have no cycles. Our numerical results further illustrate the efficiency of our proposed approach.

IEEE Sensors JournalVol. 24(23)
University of Sharjah (AE)
University of Sharjah
Affordable and clean energy
Openalex Percentile: Top 27%
Cooperative Communication and Network Coding
0.70
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