A Point-to-Multi-Point Tracking System for FSO Communication

Kappala, Vinod Kiran; Pradhan, Jayashree; Turuk, Ashok Kumar; Silva, Vinícius N. H.; Majhi, Sudhan; Das, Santos Kumar

doi:10.1109/tim.2021.3115202

Cited by 12 publications

(6 citation statements)

References 36 publications

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“…At the same time, it has the advantages of large transmission capacity, long transmission distance, good confidentiality, and strong anti-interference ability. Therefore, laser communication technology has broad application prospects in the field of wireless communication [7][8][9]. Realizing data and information transfer of free-space optical communication and information transmission of one-to-many and many-to-many communication devices is a necessary condition for the application of free-space optical communication technology.…”

Section: Introductionmentioning

confidence: 99%

Free Space Optical Communication Networking Technology Based on a Laser Relay Station

Ding

Wang

et al. 2023

Applied Sciences

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Optical communication modulation technology and networking technology are two important technologies for constructing free-space optical (FSO) communication. In this paper, pulse width modulation (PWM) is used to realize free-space optical communication. The process of signal modulation and demodulation is implemented by means of a field programmable gate array (FPGA). An optical communication relay system is constructed to realize communication networking. The binary data bits in the communication process are converted into pulse signals of different widths, the data demodulation process is realized by sampling with a high-speed analog-to-digital converter (ADC), the data level is determined by counting the proportion of high and low voltages sampled in a pulse period. The relay system analyzes the routing target after receiving the pulse signal from the transmitter, and then sends the data to the target receiver. The experimental results show that the constructed system can achieve point-to-multipoint free-space optical communication. Additionally, using ADC to demodulate the received signal increases the stability of the free-space optical communication system. This system provides the design prototype system of FSO communication networking technology.

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Section: Introductionmentioning

confidence: 99%

Free Space Optical Communication Networking Technology Based on a Laser Relay Station

Ding

Wang

et al. 2023

Applied Sciences

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“…Image fusion methods based on the transform domain techniques are receiving much consideration [18]. Pyramid [19], wavelet [20], and multi-resolution singular value decomposition (MSVD) are examples of traditional methods [21] in this category.…”

Section: Introductionmentioning

confidence: 99%

“…Pyramid [19], wavelet [20], and multi-resolution singular value decomposition (MSVD) are examples of traditional methods [21] in this category. However, transform domain fusion methods have a few drawbacks [18]. For example, most pyramid methods suffer from blocking artifacts and a loss of source information, even producing artifacts around edges [22].…”

Section: Introductionmentioning

confidence: 99%

The Fusion of MRI and CT Medical Images Using Variational Mode Decomposition

Polinati

Bavirisetti²,

Rajesh³

et al. 2021

Applied Sciences

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In medical image processing, magnetic resonance imaging (MRI) and computed tomography (CT) modalities are widely used to extract soft and hard tissue information, respectively. However, with the help of a single modality, it is very challenging to extract the required pathological features to identify suspicious tissue details. Several medical image fusion methods have attempted to combine complementary information from MRI and CT to address the issue mentioned earlier over the past few decades. However, existing methods have their advantages and drawbacks. In this work, we propose a new multimodal medical image fusion approach based on variational mode decomposition (VMD) and local energy maxima (LEM). With the help of VMD, we decompose source images into several intrinsic mode functions (IMFs) to effectively extract edge details by avoiding boundary distortions. LEM is employed to carefully combine the IMFs based on the local information, which plays a crucial role in the fused image quality by preserving the appropriate spatial information. The proposed method’s performance is evaluated using various subjective and objective measures. The experimental analysis shows that the proposed method gives promising results compared to other existing and well-received fusion methods.

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“…8 Selecting the optimal forwarder node 9 and optimizing the communication path 10 are other ways to increase energy efficiency. Multi-point relay (MPR) and point-to-point relay (PPR) technologies 11 are frequently used to communicate between nodes. When two nodes are far apart, the MPR method can be employed; otherwise, PPR communication techniques are used.…”

mentioning

confidence: 99%

MH‐ARO: Meta‐heuristic based adaptive routing for large scale opportunistic networks

Chaurasia,

Kumar

2024

Concurrency and Computation

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SummaryIn wireless sensor networks, sensor nodes (SNs) are placed throughout a wide area and gather information from the surroundings. SN used to detect and send data consumes a lot of energy and dies instantly, which causes network overhead issues. Due to network overhead, network faults occur and do not cover a significant region for data transmission. A meta‐heuristic‐based adaptive routing for large‐scale opportunistic networks (MH‐ARO) is proposed in this work to overcome these problems. The network exploits the dragonfly approach (DA) with opportunistic routing in this protocol. The DA is based on local and global search (GS) optimization. In local search (LS), each node assigns/uses a rank for data transmission and selects the forwarder node after applying the decision level matrix in a single group. In GS, an opportunistic network has multiple groups. Each group sends optimal data to the next group. Each group assigns a relay ranking based on the forwarder node's highest rank. The BS receives critical data from the relay and increases the survival of the node. Based on LS and GS, MH‐ARO is categorized into two parts: (1) optimal forwarder opt (OFO) and (2) optimal route selection (ORS). In OFO, forwarder node selection is based on the following factors: relay ranking, node density, group ranking, residual energy, forwarder distance, and relay distance. ORS follows the adaptive routing and sends the data to BS using the best optimal route. The BS receives critical data without network failure and increases the survival of the node. The maximum active node participates in the network and consumes less energy so that a node covers a large region for communication. Comparing MH‐ARO's performance to competing routing protocols, key performance indicators such as PDR, MSR, alive node, survivability, AEC, AD, and throughput are examined. The results demonstrate that the MH‐ARO performs noticeably better than its rivals regarding energy efficiency.

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A Point-to-Multi-Point Tracking System for FSO Communication

Cited by 12 publications

References 36 publications

Free Space Optical Communication Networking Technology Based on a Laser Relay Station

Free Space Optical Communication Networking Technology Based on a Laser Relay Station

The Fusion of MRI and CT Medical Images Using Variational Mode Decomposition

MH‐ARO: Meta‐heuristic based adaptive routing for large scale opportunistic networks

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