Adaptive Alternative Path and Rate Based Congestion Control for 6lowpan, WSN Towards Internet of Things

Chappala, Ramadevi; Anuradha, Ch; Murthy, P Sri Ram Chandra

doi:10.21817/indjcse/2020/v11i5/201105085

Cited by 4 publications

(2 citation statements)

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“…With the rapid popularization of smart terminals and mobile Internet applications, as well as the popularization of electronic maps and navigation software, the demand for creative services based on public services such as personal location services, Internet maps, and electronic navigation has grown rapidly, and people have become the subject of LBS. LBS integrates electronic maps, location services, and travel services to provide location services, allowing users to experience a brand new service experience brought by smart tourism [20].…”

Section: Lbs Technology and Smartmentioning

confidence: 99%

SM-PageRank Algorithm-Based User Interest Model for Mobile Smart Tourism Platform

Li¹,

2022

Wireless Communications and Mobile Computing

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Smart tourism, also known as smart tourism, actively captures tourism activities, tourists, tourism economy, tourism resources, and other information through mobile Internet and mobile terminal Internet of things devices and emerging technologies such as cloud computing and Internet of things. In order to release the intelligent tourism information in time, let the masses know the information in time, and adjust the work and tourism plan in time, this paper proposes SM-PageRank algorithm and secondary ranking based on user interest model, in order to study the accuracy of tourism information retrieval. The methods used in this paper include the principle of three weighted information fusion algorithms, LBS technology, and the design of intelligent tourism system. The function of information fusion algorithm is to find the global optimal solution for travel routing. LBS technology collects real-time tourism information through some entity sensors. Through information retrieval experiment and fusion technology solution experiment, the results show that the SM-PageRank algorithm and the secondary sorting based on user interest model proposed in this paper improve the average accuracy by 20.1% compared with the traditional algorithm and 2.6% compared with Google search. The Internet of things fusion algorithm gives a line planning set with standard deviation of 0.4 for the set of travel days with standard deviation of 1.92.

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Section: Lbs Technology and Smartmentioning

confidence: 99%

SM-PageRank Algorithm-Based User Interest Model for Mobile Smart Tourism Platform

Li¹,

2022

Wireless Communications and Mobile Computing

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“…The proposed solution is an efficient way to reduce device energy consumption while maintaining constant and predictable latency. Ramadevi Chappala et al [54] provide an adaptive hybrid congestion control protocol (AHCCP) for IoT sensor networks based on route packet leave (RPL). In this protocol, an end device first detects the packets.…”

Section: Related Workmentioning

confidence: 99%

Physical Key Generation Using Modified Discrete Wavelet Transforms For The Internet of Things

Sharma,

Jindal,

Singh

2024

IJCDS

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Security and privacy of data are important factors in the Internet of Things (IoT), which enables safe communication with emerging objects. The non-standardization of security protocols on the internet of things makes them vulnerable to intruders and compromises the process of communication. Conventional cryptography approaches face certain limitations in the generation of keys for authentication and authorization of communication systems. The limitations of the cryptography approach are explored in terms of computational overhead and hardware requirements. Singal processing is an alternative cryptography approach for key generation in physical-layer wireless communication systems. The wireless channel's reciprocity principle is used to generate keys. The important factor in signal-based key generation is the process of quantization. In this manuscript, we propose modified discrete wavelet transform (DWT) methods for key generation in IoT. The modification of discrete wavelet transform methods encapsulates the process of common spatial patterning (CSP). The CSP is another signal processing method for the formation of signal patterns. The proposed method reduces DWT discrepancies and yields a key generation technique that is efficient. Key generation processing used multi-bit quantization to quantify the product of the modified discrete wavelet transform. The proposed algorithm for key generation simulates different numbers of device nodes in indoor and outdoor scenarios. Use MATLAB tools to simulate the process and measure standard parameters such as AKL and KDR. According to the results, the suggested technique outperforms existing key generation algorithms by 3%.

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Comprehensive review on congestion detection, alleviation, and control for IoT networks

P.,

Vimala,

2024

Journal of Network and Computer Applications

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Adaptive Alternative Path and Rate Based Congestion Control for 6lowpan, WSN Towards Internet of Things

Cited by 4 publications

References 0 publications

SM-PageRank Algorithm-Based User Interest Model for Mobile Smart Tourism Platform

SM-PageRank Algorithm-Based User Interest Model for Mobile Smart Tourism Platform

Physical Key Generation Using Modified Discrete Wavelet Transforms For The Internet of Things

Comprehensive review on congestion detection, alleviation, and control for IoT networks

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