Chopra, Ribhu and Murthy, Chandra R and Annavajjala, Ramesh (2019) Physical Layer Security in Wireless Sensor Networks Using Distributed Co-Phasing. In: IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 14 (10). pp. 2662-2675.
PDF
iee_tra_inf_for_sec_14-10_2662_2019.pdf - Published Version Restricted to Registered users only Download (1MB) | Request a copy |
Abstract
In this paper, we consider physical layer security in wireless sensor networks (WSNs) using distributed co-phasing (DCP)-based transmissions. For this protocol, we first analyze the achievable ergodic secrecy rate of a single stream DCP system in the presence of one or more eavesdroppers. We show that the coherent combining gain offered by DCP leads to the signal-to-interference-plus-noise-ratio (SINR) over the main channel increasing as the square of the number of SNs N and that over the eavesdropper channel increasing linearly with N. This results in a strictly positive ergodic secrecy rate that increases as log N. We then analyze the performance of multi-stream DCP and show that using K data streams in DCP leads to a K-fold increase in the achievable secrecy rate at high SNRs. We also discuss an alternative power allocation scheme for multi-stream DCP, such as distributed maximal ratio transmission with a per-user power constraint and show that this improves the achievable secrecy rates as compared to standard multi-stream DCP. Finally, we analyze the role of artificial noise in improving the achievable secrecy rates. We validate the accuracy of these derived results and illustrate the efficacy of DCP in ensuring secure data fusion in WSNs using Monte Carlo simulations.
Item Type: | Journal Article |
---|---|
Publication: | IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY |
Publisher: | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Additional Information: | copyright for this article is belongs to IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Keywords: | Distributed co-phasing; data fusion; physical layer security; artificial noise; maximal ratio transmission |
Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
Date Deposited: | 26 Jul 2019 11:39 |
Last Modified: | 26 Jul 2019 11:39 |
URI: | http://eprints.iisc.ac.in/id/eprint/63158 |
Actions (login required)
View Item |