Enhancing Energy Efficiency in Intrusion Detection Systems for Wireless Sensor Networks Through Zigbee Protocol

Enhancing Energy Efficiency in Intrusion Detection Systems for Wireless Sensor Networks Through Zigbee Protocol

M. Keerthika, D. Shanmugapriya, D. Nethra Pingala Suthishni, V. Sasirekha
Copyright: © 2024 |Pages: 29
DOI: 10.4018/979-8-3693-2691-6.ch012
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Abstract

Wireless sensor networks (WSNs) are important in various applications, including environmental monitoring, healthcare, and industrial automation. However, the energy constraints of sensor nodes present significant challenges in deploying robust security mechanisms, such as intrusion detection systems (IDS). The method involves using data aggregation, node selection, and energy harvesting techniques to reduce energy consumption while maintaining the accuracy of the IDS. The effectiveness of the proposed approach is evaluated using simulation experiments. This chapter offers a promising solution for providing effective and energy-efficient intrusion detection in ZigBee-based WSNs. The study found that applying machine learning techniques, specifically SFA, can significantly improve the energy efficiency of Zigbee protocol in wireless sensor networks. Results indicate that using these techniques energy consumption is up to 95.42% and 190 μW / node, IDS prediction ratio is 98.5%, and accuracy is 99.5% while maintaining network performance.
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Introduction

Wireless sensor networks (WSNs) are collections of tiny, low-power sensors that connect wirelessly to a central control station and to one another. These networks are typically used to collect data from the environment and transmit it to a central location for processing.

The architecture of WSN is illustrated below:

Figure 1.

WSN architecture

979-8-3693-2691-6.ch012.f01

WSN includes sensor nodes, base station and routing nodes. It is gaining more popularity recent days because of the availability of low cost sensors, and its characteristics like flexibility to deploy anywhere and equipped with lifelong batteries (Hung-Min et al 2007).

Wireless Sensor Network (WSN)

The most popular technology behind WSN is Zigbee. It is a low power wireless personal area network technology. WSNs can be used in a wide range of applications, including environmental monitoring, healthcare, security, and industrial control. They use low-power wireless communication protocols such as ZigBee, Bluetooth Low Energy (BLE), or Wi-Fi to transmit data to other sensors or to the central control station. One of the key challenges in WSNs is managing power consumption to maximize the lifetime of the sensors

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