Abstract

The emergence of Industry 4.0 technologies, such as the Internet of Things (IoT) and Wireless Sensor Networks (WSN), has prompted a reconsideration of methodologies for network security as well as reducing operation and maintenance costs, especially at the physical layer, where the energy consumption plays an important role. This article demonstrates through simulations and experiments that, while the cooperative scheme is more efficient when a WSN is at normal operating conditions, the collaborative scheme offers more enhanced protection against the aggressiveness of jamming in the performance metrics, thus making it safer, reducing operation and maintenance costs and laying the foundations for jamming mitigation. This document additionally offers an algorithm to detect jamming in real time. Firstly, it examines the characteristics and damages caused by the type of aggressor. Secondly, it reflects on the natural immunity of the WSN (which depends on its node density and a cooperative or collaborative configuration). Finally, it considers the performance metrics, especially those that impact energy consumption during transmission.

Highlights

  • The growing trend in smart factories encompasses both the Internet of Things (IoT) and Wireless Sensor Networks (WSN) technologies, which impose new challenges for industrial safety, operation, and maintenance

  • According to the research question, which arises from a need that the industry has, the objective of this work is to propose a jamming detection mechanism for Industrial Wireless Sensor Networks (IWSN) based on the performance metrics analysis under collaborative and cooperative schemes

  • We varied the quantity of jammer nodes present in the network, and the energy level variation of the network could be obtained for different types of jamming

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Summary

Introduction

The growing trend in smart factories encompasses both the IoT and WSN technologies, which impose new challenges for industrial safety, operation, and maintenance. Several technologies converge at the IoT, such as WSNs, real-time computing, embedded systems, and actuators [1]. By 2022, circa 62% of the world’s connected devices will adopt IoT technologies [2]. In 2020, there were 21 billion IoT devices, a number that may double by [3]. In the first half of 2019, attacks on

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