Channel-based mapping diversity for enhancing the physical layer security in the Internet of Things
| Autor: | Sasi Vinay Pechetti, Abhishek Jindal, Ranjan Bose |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
Computer science business.industry Physical layer 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Bit error rate Internet of Things business Degradation (telecommunications) Diversity (business) Communication channel |
| Zdroj: | PIMRC |
| DOI: | 10.1109/pimrc.2017.8292729 |
| Popis: | Demand of minimal hardware requirement and low energy consumption for internet of things (IoT) has gained the importance of techniques enhancing the physical layer security. Looking at this, we propose a channel-based mapping diversity (CBMD) scheme for a source (S), destination (D) pair to increase the average bit error rate (ABER) at an eavesdropper (E). CBMD leads to an ABER of 0.5 at E when the channels between S — D and S — E are independent. In the case where S — D and S — E are correlated (due to the proximity of E at D), we derive an optimal strategy at E which leads to the best performance at E. We also derive an optimal strategy at S, assuming E uses its optimal strategy, thereby, considering the worst case scenario. A sub-optimal strategy is also proposed at S which does not require any statistical information about the link S — E and hence, has low implementation complexity. We analyze the variation of ABER at E with the signal to noise ratio (SNR) and the channel correlation coefficient. Our simulation results demonstrate that CBMD indeed leads to significant performance degradation at E even at moderate channel correlation for a properly chosen strategy. |
| Databáze: | OpenAIRE |
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