Modern architecture for photonic networks-on-chip

Sharma, Kapil; Sehgal, Vivek Kumar

doi:10.1007/s11227-020-03220-2

Cited by 10 publications

(3 citation statements)

References 22 publications

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“…According to [26,27], the waveguide network supports improving features of the modern architecture for photonic networks-on-chip. Here, the photonic network influenced by the light rays and colors can be analyzed from the source using the complex networks theory.…”

Section: Challenges Of Complex Networkmentioning

confidence: 99%

A Survey on the Role of Complex Networks in IoT and Brain Communication

Thayananthan,

Albeshri,

A. Alamri

et al. 2023

Computers, Materials &Amp; Continua

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Complex networks on the Internet of Things (IoT) and brain communication are the main focus of this paper. The benefits of complex networks may be applicable in the future research directions of 6G, photonic, IoT, brain, etc., communication technologies. Heavy data traffic, huge capacity, minimal level of dynamic latency, etc. are some of the future requirements in 5G+ and 6G communication systems. In emerging communication, technologies such as 5G+/6G-based photonic sensor communication and complex networks play an important role in improving future requirements of IoT and brain communication. In this paper, the state of the complex system considered as a complex network (the connection between the brain cells, neurons, etc.) needs measurement for analyzing the functions of the neurons during brain communication. Here, we measure the state of the complex system through observability. Using 5G+/6G-based photonic sensor nodes, finding observability influenced by the concept of contraction provides the stability of neurons. When IoT or any sensors fail to measure the state of the connectivity in the 5G+ or 6G communication due to external noise and attacks, some information about the sensor nodes during the communication will be lost. Similarly, neurons considered sing the complex networks concept neuron sensors in the brain lose communication and connections. Therefore, affected sensor nodes in a contraction are equivalent to compensate for maintaining stability conditions. In this compensation, loss of observability depends on the contraction size which is a key factor for employing a complex network. To analyze the observability recovery, we can use a contraction detection algorithm with complex network properties. Our survey paper shows that contraction size will allow us to improve the performance of brain communication, stability of neurons, etc., through the clustering coefficient considered in the contraction detection algorithm. In addition, we discuss the scalability of IoT communication using 5G+/6G-based photonic technology.

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Section: Challenges Of Complex Networkmentioning

confidence: 99%

A Survey on the Role of Complex Networks in IoT and Brain Communication

Thayananthan,

Albeshri,

A. Alamri

et al. 2023

Computers, Materials &Amp; Continua

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“…30 Photonic components are equipped on a single chip in hybrid integration. 31 In monolithic integration, photonic devices and electronics are linked on a single chip in monolithic integration. 32 In monolithic integration, silicon is recognized as a material that is significantly suitable for the integration of optics and photonics.…”

Section: Introductionmentioning

confidence: 99%

Silicon photonics interfaced with microelectronics for integrated photonic quantum technologies: a new era in advanced quantum computers and quantum communications?

et al. 2023

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“…Photonic solutions provide a way to reach near speed-of-light communications across on-chip wires [1,2]. These approaches achieve very low latency, but they face the problem of the considerable area dedicated to the signal conditioning circuitry.…”

Section: Introductionmentioning

confidence: 99%

Framework for Design Exploration and Performance Analysis of RF-NoC Manycore Architecture

Lahdhiri

Lorandel

Monteleone

et al. 2020

JLPEA

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The Network-on-chip (NoC) paradigm has been proposed as a promising solution to enable the handling of a high degree of integration in multi-/many-core architectures. Despite their advantages, wired NoC infrastructures are facing several performance issues regarding multi-hop long-distance communications. RF-NoC is an attractive solution offering high performance and multicast/broadcast capabilities. However, managing RF links is a critical aspect that relies on both application-dependent and architectural parameters. This paper proposes a design space exploration framework for OFDMA-based RF-NoC architecture, which takes advantage of both real application benchmarks simulated using Sniper and RF-NoC architecture modeled using Noxim. We adopted the proposed framework to finely configure a routing algorithm, working with real traffic, achieving up to 45% of delay reduction, compared to a wired NoC setup in similar conditions.

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Modern architecture for photonic networks-on-chip

Cited by 10 publications

References 22 publications

A Survey on the Role of Complex Networks in IoT and Brain Communication

A Survey on the Role of Complex Networks in IoT and Brain Communication

Silicon photonics interfaced with microelectronics for integrated photonic quantum technologies: a new era in advanced quantum computers and quantum communications?

Framework for Design Exploration and Performance Analysis of RF-NoC Manycore Architecture

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