Testing Solar-MAODV energy efficient model on various modulation techniques in wireless sensor and optical networks

Angurala, Mohit; Singh, Harmeet; Anupriya, -; Grover, Amit; Singh, Mehtab

doi:10.1007/s11276-021-02861-2

Cited by 11 publications

(4 citation statements)

References 36 publications

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“…It brings significant improvements over previous generations (Fourth Generation (4G), Third Generation (3G), etc.) and is designed to enable faster downloads and upload speeds ( a Kaur et al 2022;a Sachdeva et al 2022), making it ideal for high-definition video streaming, online gaming, and other data-intensive mobile applications (Yang et al 2019) with low latency and high reliability (Kishore et al 2022), enable autonomous vehicles to communicate with each other and with infrastructure, improving safety and traffic management, smart traffic management (Yoo et al 2016), energy-efficient street lighting, environmental monitoring, and enhance the user experience for Virtual / Augmented Reality (VR/AR) applications, making them more immersive and responsive (Angurala et al 2022).…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Circular Polarization Division Multiplexing in Visible Light Communication System by Incorporating QPSK and Distortion Compensation Enabled DSP/IDSP

Pahuja,

Verma,

Sachdeva

et al. 2023

Preprint

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Hybrid polarization division multiplexing (PDM) and Visible Light Communication (VLC) have fostered speedy data transmission in the last few years and emerged as the strong candidate that enables users to leverage the pervasive illumination/communication infrastructure. Circular PDM (CPDM) is replacing the linear PDM (LPDM) variant in wired/wireless systems due to the even scattered light distributions and elimination of polarization axis alignment requirements. In this research work, a 1.6 Tbps multi-wavelength line of sight (LoS) based VLC system is presented and data modulation is performed by employing Quadrature phase shift keying (QPSK). The conventional DSP algorithms such as Viterbi Phase Estimation (VPE), Blind Phase Search (BPS), and Constant Modulus Algorithm (CMA) algorithms are replaced with Gram-Schmidt orthogonalization procedure (GSOP), time-domain equalization algorithm (TEDA), improved Viterbi algorithm (IVA), and least mean square (LMS) algorithm in proposed IDSP. Three different systems are compared such as LPDM-VLC-DSP, CPDM-VLC-DSP, and CPDM-VLC-IDSP at different VLC link ranges, transmitter half angles (THA), incidence half angles (IHA), and optical concentrator areas (OCAs) in terms of error vector magnitude percentage (EVM%), log symbol error rate (log SER), and Q factor. After doing the extensive comprehensive literature survey, it is discerned that the presented CPDM-VLC-IDSP system has covered the longest distance i.e. 14 cm at 1.6 Tbps capacity under the acceptable bit error rate (BER) limits.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Circular Polarization Division Multiplexing in Visible Light Communication System by Incorporating QPSK and Distortion Compensation Enabled DSP/IDSP

Pahuja,

Verma,

Sachdeva

et al. 2023

Preprint

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“…With a view to minimizing energy consumption and extending the lifespan of sensor nodes, LEACH is a wireless sensor network routing protocol that tackles the crucial problem of equally spreading network load across sensor nodes. A round of data, which consists of cluster formation and steady data transmission phases, is how LEACH divides the entire sensor network into periodic clusters (Angurala et al 2022). A threshold random number determines how LEACH clusters develop, and this random formation has downsides because it causes node clustering and higher energy usage.…”

Section: Energy Managementmentioning

confidence: 99%

A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges

Chen,

Cao,

Chen

et al. 2024

Artif Intell Rev

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The application of optimization theory and the algorithms that are generated from it has increased along with science and technology's continued advancement. Numerous issues in daily life can be categorized as combinatorial optimization issues. Swarm intelligence optimization algorithms have been successful in machine learning, process control, and engineering prediction throughout the years and have been shown to be efficient in handling combinatorial optimization issues. An intelligent optimization system called the chicken swarm optimization algorithm (CSO) mimics the organic behavior of flocks of chickens. In the benchmark problem's optimization process as the objective function, it outperforms several popular intelligent optimization methods like PSO. The concept and advancement of the flock optimization algorithm, the comparison with other meta-heuristic algorithms, and the development trend are reviewed in order to further enhance the search performance of the algorithm and quicken the research and application process of the algorithm. The fundamental algorithm model is first described, and the enhanced chicken swarm optimization algorithm based on algorithm parameters, chaos and quantum optimization, learning strategy, and population diversity is then categorized and summarized using both domestic and international literature. The use of group optimization algorithms in the areas of feature extraction, image processing, robotic engineering, wireless sensor networks, and power. Second, it is evaluated in terms of benefits, drawbacks, and application in comparison to other meta-heuristic algorithms. Finally, the direction of flock optimization algorithm research and development is anticipated.

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“…However, many limitations obstruct sensors` performances including but not limited to energy resources, memory, and computation [12][13][14]. There are numerous studies have been conducted to address these limitations particularly energy efficiency in WSN based on IoT.…”

Section: Introductionmentioning

confidence: 99%

Addressing the Vulnerability of Data Routing in IoT Network based on Optimization Techniques and Advanced Blow Fish Encryption

2024

IJSER

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This study focuses on evaluating the data routing protocol in the Internet of Things (IoT). The evaluation is conducted using the Whale Optimization Algorithm (WOA), enhanced by the advanced Blowfish encryption algorithm. In this study, Cipher Block Chaining (CBC) is employed to improve the typical Blowfish technique. Furthermore, several key factors, including the rate of energy consumption, trust, distance, and delay, are considered to ensure the effectiveness of data routing. To demonstrate the feasibility of the proposed approach, four other schemes are utilized in a comparative study. These schemes are particle swarm optimization (PSO), secure routing protocol ( SARP),Genetic algorithm (GA), QoS-based Cross Multi-sink Routing protocol (QCM2R). The results clearly demonstrate the feasibility of the proposed approach when compared to the aforementioned schemes, with the lowest energy consumption, distance, and delay recorded as 0.44325 Joule, 0.43257 meters, and 1.35 x 10 -9 seconds, respectively. Additionally, the trust level is the highest at 0.71255, and the throughput reaches its peak at 2.30 Megabytes/ms when the data size is 7 KB. In terms of security dimension, the proposed improved Blowfish encryption technique is compared with Advanced Encryption Standard (AES), Rivest-Shamir-Adleman (RSA) and typical Blow fish algorithm (BFA) encryption techniques to assess its security robustness against Chosen-Ciphertext Attack (CCA) and Chosen-Plaintext Attack (CPA) with varying the size of data bits from 5KB, 7 KB and 10KB. The obtained results show that the proposed improved blow fish approach outperforms three aforementioned schemes with the smallest similarity between unique text and hacked text under CCA and CPA. Furthermore, the least time of decryption occurs with the proposed approach compared to other three schemes.

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Testing Solar-MAODV energy efficient model on various modulation techniques in wireless sensor and optical networks

Cited by 11 publications

References 36 publications

WITHDRAWN: Circular Polarization Division Multiplexing in Visible Light Communication System by Incorporating QPSK and Distortion Compensation Enabled DSP/IDSP

WITHDRAWN: Circular Polarization Division Multiplexing in Visible Light Communication System by Incorporating QPSK and Distortion Compensation Enabled DSP/IDSP

A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges

Addressing the Vulnerability of Data Routing in IoT Network based on Optimization Techniques and Advanced Blow Fish Encryption

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