Integrating Jamming Detection into Low-power Mesh Networks

University essay from Uppsala universitet/Institutionen för informationsteknologi

Author: Wenbo Xiao; [2022]

Keywords: ;

Abstract: In the field of the Internet of Things (IoT), jamming attacks and anti-jamming countermeasures have always been a very important research directions. Jamming attacks are aimed at disturbing routine wireless communications by sending out intentional radio interference, which leads to packet loss, higher energy consumption, and even disruption of the whole network. Meanwhile, low-power mesh networks are usually used for IoT applications with safety requirements in manufacturing, transportation, and healthcare. Therefore, jamming detection is needed to improve the security and reliability of the networks. In this paper, we improve the performance of the JamSense, an existing jamming detection method, and integrate it into the TSCH, MAC Layer of Contiki's network protocol stack and experimentally evaluate it on nRF52840 dongle platform. Evaluation results show that the integrated system of JamSense and TSCH has good accuracy and efficiency.

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