Physical Layer Security in Three-Tier Wireless Sensor Networks: A Stochastic Geometry Approach
Yansha Deng, Lifeng Wang, Maged Elkashlan, Arumugam Nallanathan, and, Ranjan K. Mallik

TL;DR
This paper presents a stochastic geometry-based framework to analyze and optimize physical layer security in three-tier wireless sensor networks, revealing how network parameters affect secrecy rates.
Contribution
It introduces new analytical expressions for average secrecy rates in three-tier sensor networks and explores the impact of network configurations on security.
Findings
Multiple antennas at access points enhance security.
Increasing access points initially improves, then reduces overall secrecy rate.
More sinks improve both local and overall secrecy rates.
Abstract
This paper develops a tractable framework for exploiting the potential benefits of physical layer security in three-tier wireless sensor networks using stochastic geometry. In such networks, the sensing data from the remote sensors are collected by sinks with the help of access points, and the external eavesdroppers intercept the data transmissions.We focus on the secure transmission in two scenarios: i) the active sensors transmit their sensing data to the access points, and ii) the active access points forward the data to the sinks. We derive new compact expressions for the average secrecy rate in these two scenarios. We also derive a new compact expression for the overall average secrecy rate. Numerical results corroborate our analysis and show that multiple antennas at the access points can enhance the security of three-tier wireless sensor networks. Our results show that increasing…
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Taxonomy
TopicsWireless Communication Security Techniques · Distributed Sensor Networks and Detection Algorithms · Security in Wireless Sensor Networks
