Nano Communication Networks最新文献

Nanodevices are the focus of research enhancing the detection and treatment of diseases in the human body. Focusing on the scenario where nanosensors are flowing with the blood in the human circulatory system (HCS), in this work, we investigate a model to predict their distribution along the various vessel segments. Although various approaches report solutions for localizing nanosensors in the body, it is also relevant to derive their stationary distribution along the vessel segments as a prior step to assess their actuation and sensing capabilities in the body. We use a Markov chain formulation to derive the stationary distribution of nanosensors. We evaluate the transition probabilities relying on the representation of vessels with electric circuit components. We implement the electric circuit representation of the left ventricle in the heart and the arteries to find the blood flow at vessel bifurcations and then compute the Markov chain probabilities. Our system also allows to reveal the dynamics of the movement of nanosensors with the human activity. We illustrate results in two regimes, as low and high activity, to mimic the case when being at rest or doing sports.

The widespread use of graphene patch antennas is escalating as evidence of their applicability in areas like 6 G communications and THz spectroscopy. Geometric uncertainty and fabrication issues while downsizing makes terahertz antenna design problematic. Graphene's electromagnetic and mechanical qualities make it ideal for miniaturizing antennas for Terahertz use. In the THz spectrum, a graphene antenna requires careful dielectric material selection since performance fall, especially efficiency. This paper compares dual band multi-layered genetic algorithm-based optimized antennas for the THz applications, especially spectroscopy and 6 G utilizing sole layer duple substrates concept, i.e., two distinct substrates at the same level between the ground and patch. Different antennas are designed using various substrates like Rogers RO3010, RO3210, RT5880, RT5880LZ, TMM 13i, Taconic TLY-3, RF-10, Silicon, & Teflon. Two segments of four antennas are planned; one has silicon as a common substrate with four additional materials, and another has Teflon. The proposed antenna's performance is assessed in terms of bandwidth, beamwidth, directivity, efficiency, gain, radiation pattern, return loss, and VSWR. The results reveal that Silicon and Rogers RT5880 LZ substrates-based antenna perform better in a segment I, with bandwidth (GHz) of 150.1 and 156.9, directivity (dBi) of 5.93 and 4.23, efficiency (%) of 76.65 and 78.98, and gain (dB) of 4.97 and 3.3. While in segment II, Teflon and Taconic RF-10-based antenna perform better with features 158 and 198 bandwidth, 6.43 and 4.43 directivity, 74 and 83 efficiency, and 4.67 and 3.65 gain.

Metal oxide semiconductor (MOS) technology has reached its maximum profitable limits due to increase in leakage current, static power dissipation, limited switching frequency. One of the better solutions to overcome these problems is the quantum-dot cellular automata (QCA) technology, it boasts the absence of physical transportation charges, relying solely on Coulombic force for interaction between the cells also it is a transistor less technology does not require any external voltage bias. In the current integrated circuits, the data being transferred more than ever, the error correction and coding techniques find significance in reliable data communication. Recognizing the increasing importance of error correction in data communication, particularly with the widespread data transfer, this research specifically focuses on the implementation of an enhanced convolutional encoder using QCA for error correction in data transmission. Comparative study with the state-of-art is also carried out to examine performance of proposed design. As a result of our study, we were able to reduce the cell count by 33.34% and power dissipation is reduced by 77% with the proposed 1/2 rate encoder and the proposed 1/3 rate encoder has 15.9% less cell count and power dissipation is reduced by 72% as compared to existing design.

Intra-body flow-guided nanonetworks are nanonetworks that aim to deploy the Internet of Nanothings (IoNT) into the human cardiovascular system. In these nanonetworks, nano-nodes flow in blood vessels (including arteries and veins) for detecting sensitive biological/physical data. Nano-nodes dispatch data to each other and outside devices via Terahertz (THz) waves. Monitoring of different biomarkers, detection of infectious agents, localization of cancer cells, accurate drug delivery, and other medical applications are all potential applications utilizing such networks. However, the physical limitations of the nano-nodes and the high attenuation of terahertz waves in the blood limit data transmission. Therefore, based on the characteristic of laminar blood flow in blood vessels, we proposed a central high-speed lane routing protocol in Yao et al. (2023), which utilized high-speed nano-nodes in the central layer of the blood flow to form a directional relay chain for other non-centric nano-nodes. In this paper, the proposed protocol is studied in depth, described in detail, and evaluated in the parameters of the hand vein scenario. The proposed protocol works well in new scenarios and proves its efficiency in intra-body communication.

This paper presents a significant contribution to the field of nanoscale computing by proposing an innovative reversible Arithmetic and Logic Unit (ALU) implemented in Quantum-Dot Cellular Automata (QCA). Reversible logic and QCA technology offer promising alternatives to conventional CMOS technology, addressing the challenges of operating at nanoscale dimensions. The primary objective is to develop a highly efficient ALU capable of performing 26 distinct arithmetic and logical operations. The ALU design is based on a novel reversible full adder-subtractor optimized for minimal quantum cost, which is crucial for energy-efficient quantum computation. The evaluation encompasses various criteria related to reversibility, such as gate count, number of constant inputs, number of garbage outputs, and quantum cost. QCA-specific criteria, including cell count, occupied area, and clock cycles, are also considered. The outcomes of this research contribute to the advancement of cell-efficient nanoscale computing, with implications for quantum computation, emerging technologies, and future integrated circuit design.

As an emerging nanotechnology, Quantum-dot Cellular Automata (QCA) has attracted extensive attentions due to its characteristics of high density, high speed, and low energy consumption. Modern high-performance System-on-Chips (SoCs) with multiple processors require interconnection networks to connect each core for improving data throughput and reducing latency, while the crossbar network is broadly used as a non-blocking interconnection architecture with high efficiency. In this paper, a method to design an efficient QCA-based N × N crossbar network utilizing optimally designed N:1 multiplexers (MUXs) is proposed, followed by a multi-layer and a single-layer implementation of its 8 × 8 design. A simplified matrix model is then introduced to provide a concise and intuitive switch control strategy, and expressions for cell count, area, latency, QCA cost, and QCA complexity of the proposed crossbar networks are derived according to the size N. Experimental results manifest that the proposed 8 × 8 crossbar networks have significant advantages on most performance parameters compared with other existing QCA-based networks.

Quantum dot cellular automata (QCA) is considered an alternative to conventional technologies like CMOS (Complementary Metal-Oxide-Semiconductor) technology due to its potential for lower power consumption, higher speed, and increased device density. QCA introduces a novel approach to designing nano communication circuits and systems. Nano communications data mistakes are detected via parity generators and checkers. The parity bit of each data block ensures that the number of 1’s is either even or odd. Consequently, the system requires four circuits: an even parity generator, an odd parity generator, an even parity checker, and an odd parity checker. The whole system requires more space and cell complexity. In this work, we propose a QCA architecture that serves as a generator for both even and odd parities, as well as a checker for both even and odd parities. It is a quad-functioning circuit that performs four distinct operations within a single design, utilizing 118 QCA cells and occupying an area of 0.17 μm². The recommended approach uses an efficient XOR gate, resulting in improvements across several performance metrics. QCAPro calculates energy dissipation and design parameters. The recommended QCA circuit outperformed similar QCA circuits in size, complexity, and energy dissipation. The circuit's design cost functions are also low. There has been a 17% reduction in latency and an 86% improvement in QCA-specific costs when compared to the optimal existing design. Moreover, it necessitates a 40% reduction in majority gate usage. The proposed design may compete effectively with other equivalent higher-order circuit designs by reducing the need for multiple blocks in conventional circuits to execute the same task. This architecture holds potential benefits for nano processors and nano communication networks.

Terahertz (THz) band is an important range in photonics, and provides numerous advantages in various applications. One of the most popular detection methods for THz pulses is electro-optic sampling (EOS). EOS provides many benefits; however, in this method distortion damages the output signal, and limits the bandwidth of this technique. In this article, a calculation-based approach is proposed to remove the effect of distortion in EOS detection process. This manner is based on definition of a base-level spectrum which modifies the output of EOS to eliminate unwanted disorders. The introduced method is computational, inexpensive, feasible, fast, adaptable, and effective. Moreover, a detailed comprehensive step-by-step model of THz time-domain spectroscopy (THz-TDS) with a simple and obvious perspective for ZnTe and GaP crystals is provided.

In quorum sensing (QS), bacteria exchange information by using molecular signals to work together. In this paper, we study diffusion-based molecular communication with the QS mechanism between the transmitter node and receiver node which are composed of a population of mobile bacteria in a cluster, respectively. The expression of average bit error probability (BEP) at a receiver bacterium is derived. Furthermore, we use the projected gradient descent (PGD) algorithm to solve the optimization problem whose objective is to minimize the average BEP under emission rate constraints which require that the emission rate of each transmitter bacterium has lower and upper bounds. Finally, the numerical results show the PGD algorithm has good convergence behaviors and it is more efficient in finding the optimal emission rate with fewer iterations than genetic algorithm. The obtained results are expected to provide guidance in designing QS-based molecular communication system with lower average BEP.

In nano communication, fault-tolerant networks play a crucial role in error control. A significant practical challenge for nanocircuits is their ability to transmit information over networks to different endpoints. Fault-tolerant and reversible circuits have control error problems. The advantage of a quantum gate-based architecture is that it prevents heat loss, and it has been extensively researched. In this article, we have developed reversible multiplexers (mux's), half-adder (HA), and full-adder (FA) and latches that are fault-tolerant by making use of new gate and implementing them on the IBM Qiskit platform. A power-efficient and fault-tolerant mux's and latches is proposed that uses reversible gates to preserve parity. Multiplexer kinds such as 2:1, 4:1, and n:1 is covered in depth by the new Parity Preserving Multiplexer (PPM) gate and verified by IBM-Qiskit. An algorithmic design for an n:1 multiplexer is invented. In order to assess a PPM gate effectiveness, 13 standard Boolean functions and 8 standard types of gates are implemented. The PPM quantum gate is built using quantum assembly code (QAC), which runs on IBM Quantum Lab and IBM Quantum Composer platforms to measure the output qubits. Additional HA, muxes, and latches design led to the code creation in the Qiskit platform, which was used to measure the output qubits. A comparison of the D-latch, T-latch, JK-latch, and mux designs with existing circuits shows a reduction in quantum cost (qc) and junk output (go) and the implementation of a custom design in the IBM-Qiskit platform to measure output qubits is a first time in literature.