Date of Award

3-2025

Document Type

Thesis

Degree Name

Master of Science in Cyber Operations

Department

Department of Electrical and Computer Engineering

First Advisor

Daniel F. Koranek, PhD

Abstract

This research evaluates the impact of electronic warfare, particularly jamming, on an audio-based drone detection wireless sensor network (WSN) using Monte Carlo simulations. A six-node IEEE 802.15.4 network, with five edge nodes and a central sink, is tested against jamming probabilities ranging from 0-100% in 5% increments across 30 iterations per configuration. Results show that packet delivery ratio (PDR) degrades linearly at approximately 20% per jammed node, while detection performance often exceeds PDR. Even at 80% jamming, detection success rates remain above 57%, highlighting resilience despite network degradation. The study reveals that jamming effectiveness depends on node placement relative to drone paths, with optimal disruption occurring when three or more nodes are targeted. Findings emphasize the need for countermeasures like frequency hopping and packet fragmentation to mitigate jamming threats in drone detection WSNs.

AFIT Designator

AFIT-ENG-MS-25-M-021

Comments

An embargo was observed for this posting.

Approved for public release, Distribution Unlimited. PA Case Number 88ABW-2025-0373

Download

Share

COinS