Energy Efficient Secure Computation Offloading in NOMA-Based mMTC Networks for IoT

Han, Shujun; Xu, Xiaodong; Fang, Sisai; Sun, Yan; Cao, Yue; Tao, Xiaofeng; Zhang, Ping

doi:10.1109/jiot.2019.2904741

Cited by 92 publications

(42 citation statements)

References 39 publications

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“…Connectivity of large number of IoT devices and various latency requirements of them will be seamlessly supported by the massive Machine Type Communication (MTC). Non-Orthogonal Multiple Access (NOMA) technology, and, more specifically, Mobile Edge Computing (MEC) has the advantages of improving network capacity, reducing MTC devices’ latency, and enhancing Quality of Service (QoS) [ 14 ].…”

Section: Fog Vs Cloud/mobile-edge Computingmentioning

confidence: 99%

Hardware Security of Fog End-Devices for the Internet of Things

Bütün

Sari

Österberg

2020

Sensors

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The proliferation of the Internet of Things (IoT) caused new application needs to emerge as rapid response ability is missing in the current IoT end-devices. Therefore, Fog Computing has been proposed to be an edge component for the IoT networks as a remedy to this problem. In recent times, cyber-attacks are on the rise, especially towards infrastructure-less networks, such as IoT. Many botnet attack variants (Mirai, Torii, etc.) have shown that the tiny microdevices at the lower spectrum of the network are becoming a valued participant of a botnet, for further executing more sophisticated attacks against infrastructural networks. As such, the fog devices also need to be secured against cyber-attacks, not only software-wise, but also from hardware alterations and manipulations. Hence, this article first highlights the importance and benefits of fog computing for IoT networks, then investigates the means of providing hardware security to these devices with an enriched literature review, including but not limited to Hardware Security Module, Physically Unclonable Function, System on a Chip, and Tamper Resistant Memory.

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Section: Fog Vs Cloud/mobile-edge Computingmentioning

confidence: 99%

Hardware Security of Fog End-Devices for the Internet of Things

Bütün

Sari

Österberg

2020

Sensors

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“…Therefore, improving the energy efficiency (EE) of massive MTC networks is becoming an ever-increasingly urgent task to tackle. Joint optimization of computation and communication radio have been investigated to reduce the computation energy consumption in both uplink and downlink systems [18]- [20]. Exploiting the energy harvesting technology or wireless energy and information transmission technology, the MTC devices obtaining energy from other devices to make itself EE transmission in short packet communication was first analyzed in [21], followed by the studies of resource allocation for wireless powered Internet of Things (IoT) with finite blocklength consideration [22], [23].…”

Section: A State Of the Artmentioning

confidence: 99%

“…However, the decoding order in short packet communications is still an open issue and little works have been paid on attention to it. In this work, we assume that |h 1,n | 2 ≥ · · · ≥ |h m,n | 2 · · · ≥ |h Mn,n | 2 , and the MTC device with higher channel gains will be decoded earlier at BS, although they may suffer from interference of other undecoded MTC devices [7], [20], [37]. Moreover, since the linear function can effectively model the relationship between the residual interference and the power of the received signal [38], [39], we model the residual interference from the first decoded m − 1 MTC devices in the nth subchannel as follows…”

Section: B Achievable Effective Rate With Short Packet Communicationmentioning

confidence: 99%

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Energy-Efficient Short Packet Communications for Uplink NOMA-Based Massive MTC Networks

Han

Liu

et al. 2019

IEEE Trans. Veh. Technol.

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The 5th generation (5G) mobile networks and beyond need to support massive machine-type communications (MTC) devices with limited available radio resources. In this paper, we study the power-domain non-orthogonal multiple access (NOMA) technology to support energy-efficient massive MTC networks, where MTC devices exchange information using sporadic and low-rate short packets. We investigate the subchannel allocation and power control policy to maximize the achievable effective energy efficiency (EE) for uplink NOMA-based massive MTC networks, taking into account of short-packet communication characteristics. We model the subchannel allocation problem as a multi-agent Markov decision process and propose an efficient Q-learning algorithm to solve it. Furthermore, we obtain the optimal transmission power policy by approximating the achievable effective rate of uplink NOMA-based short packet communications. Compared with the existing OFDMA scheme, simulations validate that the proposed scheme can improve the achievable effective EE of massive MTC networks with 5.93%.

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“…To support massive connectivity over limited radio spectrum, IoT devices should share the same spectrum. As a result, massive access is susceptible to eavesdropping owing to the broadcast nature of wireless channels [8,9]. Traditionally, upper layer cryptography techniques are adopted to guarantee wireless security [10,11].…”

Section: Introductionmentioning

confidence: 99%

Physical layer security for massive access in cellular Internet of Things

Chen

Zhong

et al. 2020

Sci. China Inf. Sci.

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The upcoming fifth generation (5G) cellular network is required to provide seamless access for a massive number of Internet of Things (IoT) devices over the limited radio spectrum. In the context of massive spectrum sharing among heterogeneous IoT devices, wireless security becomes a critical issue owing to the broadcast nature of wireless channels. According to the characteristics of the cellular IoT network, physical layer security (PHY-security) is a feasible and effective way of realizing secure massive access. This article reviews the security issues in the cellular IoT network with an emphasis on revealing the corresponding challenges and opportunities for the design of secure massive access. Furthermore, we provide a survey on PHY-security techniques to improve the secrecy performance. Especially, we propose a secure massive access framework for the cellular IoT network by exploiting the inherent co-channel interferences. Finally, we discuss several potential research directions to further enhance the security of massive IoT.

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Energy Efficient Secure Computation Offloading in NOMA-Based mMTC Networks for IoT

Cited by 92 publications

References 39 publications

Hardware Security of Fog End-Devices for the Internet of Things

Hardware Security of Fog End-Devices for the Internet of Things

Energy-Efficient Short Packet Communications for Uplink NOMA-Based Massive MTC Networks

Physical layer security for massive access in cellular Internet of Things

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