Exact and Efficient Protective Jamming in SINR-based Wireless Networks
- Dominik Bojko,
- Marek Klonowski,
- ,
- Mateusz Marciniak
- Wrocław University of Science and Technology,
Sustainable Development Goals
- SDG 7 Affordable and Clean Energy
Related Event
Title
Event type
ConferenceDate
11/03/2021 - 11/05/2021Location
Abstract
A majority of research in communication in wireless networks is devoted to maximizing information flow, improving connectivity, or making the system robust against physical perturbations such as jamming. In this work we study how intentional jamming can be used for assuring privacy of wireless communication under the popular Signal-to-Interference-plus- Noise-Ratio (SINR) model. The considered problem, called Zone-restriction with Max-coverage, is as follows: how to place a number of jamming stations in order to generate interference that block the signal of given genuine stations in a specified restricted area, i.e., by making the SINR value of the genuine stations' signal below a pre-defined threshold in that area. In the construction of algorithms, we aim at optimizing both the accuracy - by minimizing the impact of the jamming stations to the area of genuine communication and by maximizing their influence to the area that should be jammed, as well as the energy consumption of the jamming stations. We present several solutions in various settings of the network, which often lead to challenging analysis even in relatively simple cases. Among others, we show that, surprisingly, it is possible to jam arbitrarily large areas by jammers using total energy arbitrarily close to zero.
Publication Information
Output type
Original language
English (US)Publication milestones
- Published - 2021
Publication status
Publisher
IEEE Computer SocietyPublication series
- Publication series name: Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
ISSN (Print): 1526-7539
ISBN (Electronic)
9781665458382Publication IDs
- Scopus: 85123203104
