학술논문
Intrinsic Secrecy in Inhomogeneous Stochastic Networks
Document Type
Periodical
Author
Source
IEEE/ACM Transactions on Networking IEEE/ACM Trans. Networking Networking, IEEE/ACM Transactions on. 27(4):1291-1304 Aug, 2019
Subject
Language
ISSN
1063-6692
1558-2566
1558-2566
Abstract
Network secrecy is vital for a variety of wireless applications and can be accomplished by exploiting network interference. Recently, interference engineering strategies (IESs) have been developed to harness network interference, depending on the wireless environment (node distribution, transmission policy, and channel conditions). Typically, the node spatial distribution has been modeled according to a homogeneous Poisson point process for mathematical tractability. However, such a model can be inadequate for inhomogeneous (e.g., sensor and vehicular) networks. This paper develops a framework for the design and analysis of inhomogeneous wireless networks with intrinsic secrecy. Based on the characterization of the network interference and received signal-to-interference ratio for different receiver selection strategies. Local and global secrecy metrics are introduced for characterizing the level of intrinsic secrecy in inhomogeneous wireless networks from a link and a network perspective. The benefits of IESs are quantified by simulations in various scenarios, thus corroborating the analysis. Results show that IESs can elevate the network secrecy significantly.