Secure resource allocation in energy harvesting wireless networks

Abstract

The emergence of energy harvesting wireless networks (EHWN) presents an extensive domain of opportunities and challenges in the realm of wireless communication networks. This thesis investigates the intricate synergies between resource allocation and physical layer security (PLS) in EH WN systems, with a primary focus on ensuring security and efficient allocation of newlineresources. The thesis begins by examining the fundamental principles of EHWN, delving into the history, applications, and underlying technologies driving this innovative paradigm shift in WC. Building upon these foundational objectives, the research explores the multifaceted challenges of resource allocation in EHWN, considering factors such as imperfect channel state information (CSI), dynamic network conditions, nonlinear energy harvesting (EH) models, and PLS considerations. The EH-capable wireless communication devices enhance the harvested energy (HE) from the radio frequency (RF) energy source. The use of RF energy sources enables sustainable EH operations, thereby providing independent and reliable wireless information transmission.The overarching problem that influences the resource allocation strategies is to optimize newlineboth HE and secrecy capacity (SC) without compromising the feasibility of the considered wireless communication systems. By achieving the stated challenge, we can protect the wireless communication devices from potential eavesdropper(s) (Eve(s)) and also enhance the HE of the EHWN. Hence, the primary objective of this research is to enhance security and HE. This increases the deployability and transmission efficiency of the EHWNs. This is particularly important for applications such as the Internet of Things (IoT) and vehicular wireless communication environments. The RF-based energy sources are affected by the nonlinearity caused by the circuit parameters, leading to fluctuations in the amount of HE. This variability can be modeled using a nonlinear EH model. However, integrating nonlinear EH models and PLS into resource..