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A novel genetic-based resource allocation and cooperative node selection technique for physical layer security designs

Okati, N ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1007/s11277-017-4116-4
  3. Publisher: Springer New York LLC , 2017
  4. Abstract:
  5. This paper presents a novel approach for power allocation and cooperative node selection to enhance physical layer security in presence of an eavesdropper in a wireless network. Our network consists of a source–destination pair and a number of cooperative nodes which can be used as relays to increase throughput at the destination, or as friendly jammers to confuse eavesdropper. First, we introduce a low complexity method, for which relay−jammer selection and power allocation are performed, simultaneously. Then, we propose self-adaptive genetic algorithm to solve the non-linear non-convex programing problem. Using the proposed method, the number of friendly jammers that ensure the secrecy rate requirements as well as the power constraints can be determined. Simulation results illustrate that the proposed method outperforms conventional selection and power allocation techniques in terms of solution quality, simplicity and computational load. © 2017, Springer Science+Business Media New York
  6. Keywords:
  7. Cooperative node selection ; Physical layer security ; Power allocation ; Self-adaptive genetic algorithm ; Convex optimization ; Genetic algorithms ; Jamming ; Network layers ; Computational loads ; Node selection ; Non linear ; Power allocations ; Power constraints ; Self adaptive genetic algorithm ; Solution quality ; Network security
  8. Source: Wireless Personal Communications ; Volume 95, Issue 4 , 2017 , Pages 4733-4746 ; 09296212 (ISSN)
  9. URL: https://link.springer.com/article/10.1007%2Fs11277-017-4116-4