Low‐Cost and Long‐Range Node‐Assisted WiFi Backscatter Communication for 5G‐Enabled IoT Networks

Wang, Zhimin; Feng, Li; Yao, Shumin; Xie, Kan; Chen, Yuqiang

doi:10.1155/2021/8540457

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…Wireless backscatter is a novel passive communication technology, which enables battery-free devices to collect energy from environmental RF signals and communicate with other devices through backscattering environmental signals [1]. Wireless backscatter is ideal for the IoT and reaches a lot of concern [2]- [7]. Since the wireless backscatter communication technology was proposed, Kellogg et al tried to realize passive communication between two terminals with Wi-Fi signal as the excitation signal in the hardware system [8].…”

Section: Introductionmentioning

confidence: 99%

A distributed wireless backscatter system for IoT

Wang

Xu²,

Ma³

et al. 2023

International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022)

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Wireless backscatter is a novel passive communication technology, which enables battery-free devices to harvest energy from environmental RF signals and communicate with other devices via backscattering environmental signals. Wireless backscatter is ideal for the IoT. However, the existing wireless backscatter has several drawbacks, including a high bit error rate, expensive deployment costs, and high signal-noise ratio requirements. We proposed a distributed wireless backscatter system to address the aforementioned issues. Our design introduces multiple input multiple output (MIMO) system into wireless backscatter. With MIMO, backscatter communication can work at the same frequency as Wi-Fi. Moreover, the proposed distributed protocol increases the opportunity for backscatter. Extensive simulations show that our design significantly increases system throughput.

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Section: Introductionmentioning

confidence: 99%

A distributed wireless backscatter system for IoT

Wang

Xu²,

Ma³

et al. 2023

International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022)

View full text Add to dashboard Cite

show abstract

“…IoT is a system consisting of interrelated computing devices, which collect and process the data acquired from the environments. ese devices (such as sensors) cooperate with each other through the IoT protocol, including ZigBee [3], Wi-Fi [4], and Bluetooth.…”

Section: Introductionmentioning

confidence: 99%

Detection of Packet Dropping Attack Based on Evidence Fusion in IoT Networks

Ding

Zhai

Liu

et al. 2022

Security and Communication Networks

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Internet of Things (IoT) is widely used in environmental monitoring, smart healthcare, and other fields. Due to its distributed nature, IoT is vulnerable to various internal attacks. One of these attacks is the packet-dropping attack, which is very harmful. The existing packet-dropping attack detection algorithms are unsuitable for emerging resource-constrained IoT networks. For example, ML-based algorithms always inject numerous packets to obtain the training dataset. However, it is heavyweight for energy-limited nodes to forward these extra packets. In this paper, we propose a lightweight evidence fusion-based detection algorithm (EFDA), which leverages the packet forwarding evidence to identify malicious nodes. Firstly, EFDA finds the sequence numbers of dropped packets and their corresponding source nodes. Then, it traces the routing path of each dropped packet and collects evidence for detection. The evidence stored by nodes around the path record the node’s forwarding behaviors. Finally, the collected evidence is fused to evaluate the trust of nodes. Based on nodes’ trust, the K-means clustering is used to distinguish between malicious nodes and benign nodes. We conduct simulation experiments to compare EFDA with ML-based algorithms. The experimental results demonstrate that EFDA can detect the packet-dropping attack without injecting packets and achieve a higher detection accuracy.

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