Modeling and analysis of simultaneous information and energy transfer in Internet of Things

Liu, Chang; Natarajan, Balasubramaniam

doi:10.1002/ett.3177

Cited by 5 publications

(4 citation statements)

References 38 publications

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“…Internet of Things (IoT) has been offered lately as a profound change in technology domains 1‐3 . The IoT sight targets at interconnecting machines with various potentials like actuators, sensors, smartphones, radio‐frequency identification (RFID) tags, and servers during the identical heterogeneous network 4,5 .…”

Section: Introductionmentioning

confidence: 99%

An energy‐aware method for task allocation in the Internet of things using a hybrid optimization algorithm

Ren

Zhang

Shao-chun

et al. 2020

Concurrency and Computation

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Internet of Things (IoT) is utilized as an emerging sample for defining the future of technology in which physical items like sensors, radio-frequency identification tags, mobile phones, actuators, and so on, can have interaction together and have cooperation with their neighbors for obtaining joint objectives. The performance of the deployed tasks and applications on the network is considered as one of the critical goals in this model, which is achieved by the task allocation mechanism. Task allocation in the IoT is so complicated due to the intricate connection among machines. The task allocation problem is considered as an NP-hard problem, so a new task allocation algorithm in the IoT environment is proposed using the combination of Simulated Annealing (SA) and Particle Swarm Optimization (PSO) algorithm. Also, the issues of the PSO algorithm, such as getting stuck in local optimization and not achieving an optimal response, forced us to present a method based on the combination of SA and the PSO algorithms. The results of simulation in MATLAB environment illustrated that the suggested method performs better compared to the PSO and SA-based methods.

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Section: Introductionmentioning

confidence: 99%

An energy‐aware method for task allocation in the Internet of things using a hybrid optimization algorithm

Ren

Zhang

Shao-chun

et al. 2020

Concurrency and Computation

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“…Secrecy capacity maximisation or correspondingly secrecy outage capacity (SOP) minimisation were taken into account as well in the context of cochannel interference,() simultaneous wireless information‐power transfer,() cognitive radio,() relay‐assisted,() massive multiple‐input multiple‐output (MIMO), and heterogeneous cellular networks. () In the work of Kawabata et al, achieving a tight asymptotic bound for SOP and minimising the feedback cost, a new energy harvesting relay selection framework was presented for Internet of Things.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic‐based secrecy rate maximisation for MIMOME wiretap channels: Towards novel convexification procedures—Part II

Zamanipour¹

2018

Trans Emerging Tel Tech

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This paper extends our previous work on multiple‐input–multiple‐output multiantenna eavesdropper–based wiretap channels aimed at fundamentally proposing optimally secure frameworks. This extension is appropriately conducted providing 2 newly asymptotic bounds for the secrecy outage capacity. Such proposed schemes should be necessarily taken into consideration owing to channel uncertainty sets in relation to the eavesdropping fusion center. Our first resultant closed‐form solution, which is mathematically performed according to Hanson‐Wright inequality, is totally tight as well; something that can be technically assigned to other ergodicity‐driven equilibria. Specifically, our solution's outperformance is highlighted with regard to a significantly more adequate secrecy capacity in the low signal‐to‐noise‐ratio regime. Such outperformance is efficiently guaranteed due to assigning optimally convex paradigms regarding the concentration‐of‐measure‐based inequality aforementioned. Additionally, our framework has a markedly acceptable computational complexity compared with our previous work. The latter characteristic is straightforwardly highlighted in parallel with a considerably acceptable computational error as well. Finally, we optimally generalise our framework to dynamically fast fading processes in terms of the secondly closed‐form asymptotic bound. At the end of the discussion, simulation‐based analytical results principally authenticate our contribution's efficiency and tightness.

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“…Physical-layer security techniques basically play a vital role in Green communication these days. One of the important parts of these techniques are in relation to SWIPT frameworks [ 1 , 2 , 3 ]. These schemes as the emerging telecommunications technologies, are promising ones to highlight the term green cited above.…”

Section: Introductionmentioning

confidence: 99%

A Newly Secure Solution to MIMOME OFDM-Based SWIPT Frameworks: A Two-Stage Stackelberg Game for a Multi-User Strategy

Zamanipour¹

2018

Entropy

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Abstract:The paper technically proposes a newly secure scheme for simultaneous wireless power and information transfer (SWIPT) frameworks. We take into account an orthogonal frequency division multiplexing (OFDM)-based game which is in relation to a multi-input multi-output multi-antenna Eavesdropper (MIMOME) strategy. The transceiver is generally able to witness the case imperfect channel state information (ICSI) at the transmitter side. Transferring power and information are conducted via orthogonally provided sub-carriers. We propose a two-step Stackelberg game to optimise the Utility Functions of both power and information parts. The price for the first stage (in connection with information) is the total power of the other sub-carriers over which the energy is supported. In this stage, the sum secrecy rate should be essentially maximised. The second level of the proposed Stackelberg game is in association with the energy part. In this stage, the price essentially is the total power of the other sub-carriers over which the information is transferred. In this stage, additionally, the total power transferred is fundamentally maximised. Subsequently, the optimally and near-optimally mathematical solutions are derived, for some special cases such as ICSI one. Finally, the simulations validate our scheme as well, authenticating our contribution's tightness and efficiency.

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Modeling and analysis of simultaneous information and energy transfer in Internet of Things

Cited by 5 publications

References 38 publications

An energy‐aware method for task allocation in the Internet of things using a hybrid optimization algorithm

An energy‐aware method for task allocation in the Internet of things using a hybrid optimization algorithm

Probabilistic‐based secrecy rate maximisation for MIMOME wiretap channels: Towards novel convexification procedures—Part II

A Newly Secure Solution to MIMOME OFDM-Based SWIPT Frameworks: A Two-Stage Stackelberg Game for a Multi-User Strategy

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