A routing framework for energy harvesting wireless nanosensor networks in the Terahertz Band

Pierobon, Massimiliano; Jornet, Josep Miquel; Akkari, Nadine; Almasri, Suleiman; Akyildiz, Ian F.

doi:10.1007/s11276-013-0665-y

Cited by 108 publications

(81 citation statements)

References 15 publications

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“…Interesting contributions in this direction have already presented in literature: they consider advanced scheme for adjusting transmission settings to minimize energy consumptions [21], energyefficient physical layer for WNSN [23], energy-harvesting MAC protocol for WNSN [18], energy and spectrum-aware MAC protocol for WNSN [22], and routing framework for energy harvesting WNSN [19]. However, none of these solutions take care of requirements and constraints of BANNETs and they do not offer complete answers to issues detailed in the introductory section.…”

Section: Energy Consumptions and Harvesting Schemes For Nanonetworkmentioning

confidence: 99%

“…According to [3], nano-machines cannot execute complex tasks and, as a consequence, all the solutions already conceived for the IoT domain, cannot be directly applied to BANNETs. In line with this assumption, some contributions have already proposed valuable solutions for Media Access Control (MAC) [17,18] and routing [19] layers. However, they mainly focus on WNSNs and do not take care of requirements and constraints that typically characterize BANNETs.…”

Section: Introductionmentioning

confidence: 99%

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On the design of an energy-harvesting protocol stack for Body Area Nano-NETworks

Piro

Boggia

Grieco

2015

Nano Communication Networks

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a b s t r a c tBody Area Nano-NETworks (BANNETs) consist of integrated nano-machines, diffused in the human body for collecting diagnostic information and tuning medical treatments. Endowed with communication capabilities, such nano-metric devices can interact with each other and the external micro/macro world, thus enabling advanced health-care services (e.g., therapeutic, monitoring, sensing, and telemedicine tasks). Due to limited computational and communication capabilities of nano-devices, as well as their scarce energy availability, the design of powerful BANNET systems represents a very challenging research activity for upcoming years. Starting from the most significant and recent findings of the research community, this work provides a further step ahead by proposing a hierarchical network architecture, which integrates a BANNET and a macro-scale healthcare monitoring system and two different energy-harvesting protocol stacks that regulate the communication among nano-devices during the execution of advanced nano-medical applications. The effectiveness of devised solutions and the comparison with the common flooding-based communication technique have been evaluated through computer simulations. Results highlight pros and cons of considered approaches and pave the way for future activities in the Internet of Nano-Things and nano-medical research fields.

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Section: Energy Consumptions and Harvesting Schemes For Nanonetworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the design of an energy-harvesting protocol stack for Body Area Nano-NETworks

Piro

Boggia

Grieco

2015

Nano Communication Networks

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“…Wireless Nanosensor Networks involve wireless communications among miniaturized sensors with transmission distances up to 10 mm [42]. In Wireless Networks-on-Chip, processing cores are connected to neighboring cores by electrical wires or optical interconnects, whereas distant cores communicate wirelessly to improve the latency and energy dissipation [43].…”

Section: B Channel Attenuationmentioning

confidence: 99%

Scalability of the Channel Capacity in Graphene-enabled Wireless Communications to the Nanoscale

Llátser

Cabellos‐Aparicio

Alarcón

et al. 2014

IEEE Trans. Commun.

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Abstract-Graphene is a promising material which has been proposed to build graphene plasmonic miniaturized antennas, or graphennas, which show excellent conditions for the propagation of Surface Plasmon Polariton (SPP) waves in the terahertz band. Due to their small size of just a few µm, graphennas allow the implementation of wireless communications among nanosystems, leading to a novel paradigm known as Grapheneenabled Wireless Communications (GWC). In this paper, an analytical framework is developed in order to evaluate how the channel capacity of a GWC system scales as its dimensions shrink. In particular, we study how the unique propagation of SPP waves in graphennas will impact the channel capacity. Next, we further compare these results with respect to the case when metallic antennas are used, in which these plasmonic effects do not appear. In addition, asymptotic expressions for the channel capacity are derived in the limit when the system dimensions tend to zero. In this scenario, necessary conditions to ensure the feasibility of GWC networks are found. Finally, using these conditions, new guidelines are derived to explore the scalability of various parameters, such as transmission range and transmitted power. These results may be helpful for designers of future GWC systems and networks.

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“…Furthermore, the noise model was updated in [7] and it had been pointed out that the molecular absorption of the transmitted signal should be an additional noise source in the THz band. Then, such models were further investigated and applied in [8][9][10]. The different physical causes and mechanisms behind the absorption and emission were also studied in [11].…”

Section: Introductionmentioning

confidence: 99%

Modelling of the terahertz communication channel for in-vivo nano-networks in the presence of noise

Zhang

Yang

Alomainy

et al. 2016

2016 16th Mediterranean Microwave Symposium (MMS)

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Abstract-This paper focuses on the modelling of communication channel noise inside human tissues at the THz band (0.1-10THz). A novel model is put forward based on the study of the physical mechanism of the channel noise in the medium, which takes into account both the radiation of the medium and the molecular absorption from the transmitted signal. The derivation and the general concepts of the noise modelling is detailed in the paper. The results show that the channel noise power spectral density at the scale of several micrometres is at acceptable levels and the value tends to decrease with the increase of both distance and frequency. In addition, the channel noise is also related to the composition of the human tissues, with the result of higher channel noise in tissues with higher water concentration. The conclusion drawn from the conducted study and analysis paves the way for more comprehensive characterisation of the electromagnetic channel within in-vivo nano-networks.

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A routing framework for energy harvesting wireless nanosensor networks in the Terahertz Band

Cited by 108 publications

References 15 publications

On the design of an energy-harvesting protocol stack for Body Area Nano-NETworks

On the design of an energy-harvesting protocol stack for Body Area Nano-NETworks

Scalability of the Channel Capacity in Graphene-enabled Wireless Communications to the Nanoscale

Modelling of the terahertz communication channel for in-vivo nano-networks in the presence of noise

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