Efficient Compression Sensing Mechanism Based WBAN System Using Blockchain
The hybrid wireless sensor network is made up of Wireless Body Area Network (WBAN). Generally, many hospitals use cellular networks to support telemedicine. To provide the treatment to the patient on time, for this, an early diagnosis is required, for treatment. With the help of WBANs, collections a...
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| Veröffentlicht in: | Security and communication networks 2023-05, Vol.2023, p.1-12 |
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| container_title | Security and communication networks |
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| creator | Pathak, Vinay Singh, Karan Chandan, Radha Raman Gupta, Sachin Kumar Kumar, Manoj Bhushan, Shashi Jayaprakash, Sujith |
| description | The hybrid wireless sensor network is made up of Wireless Body Area Network (WBAN). Generally, many hospitals use cellular networks to support telemedicine. To provide the treatment to the patient on time, for this, an early diagnosis is required, for treatment. With the help of WBANs, collections and transmissions of essential biomedical data to monitor human health becomes easy. Compressor Sensing (CS) is an emerging signal compression/acquisition methodology that offers a protruding alternative to traditional signal acquisition. The proposed mechanism reduces message exchange overhead and enhances trust value estimation via response time and computational resources. It reduces cost and makes the system affordable to the patient. According to the results, the proposed scheme in terms of Compression Ratio (CR) is 18.18% to 88.11% better as compared to existing schemes. Also in terms of Percentage Root-Mean-Squared Difference (PRD) value, the proposed scheme is 18.18% to 34.21% better than with respect to existing schemes. The consensus for any new block is achieved in 24% less time than the Proof-of-Work (PoW) approach. The shallow CPU usage is required for the leader election mechanism. CPU utilization while the experiment lies in the range of 0.9% and 14%. While simulating a one-hour duration, the peak CPU utilization is 21%. |
| doi_str_mv | 10.1155/2023/8468745 |
| format | Article |
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Generally, many hospitals use cellular networks to support telemedicine. To provide the treatment to the patient on time, for this, an early diagnosis is required, for treatment. With the help of WBANs, collections and transmissions of essential biomedical data to monitor human health becomes easy. Compressor Sensing (CS) is an emerging signal compression/acquisition methodology that offers a protruding alternative to traditional signal acquisition. The proposed mechanism reduces message exchange overhead and enhances trust value estimation via response time and computational resources. It reduces cost and makes the system affordable to the patient. According to the results, the proposed scheme in terms of Compression Ratio (CR) is 18.18% to 88.11% better as compared to existing schemes. Also in terms of Percentage Root-Mean-Squared Difference (PRD) value, the proposed scheme is 18.18% to 34.21% better than with respect to existing schemes. The consensus for any new block is achieved in 24% less time than the Proof-of-Work (PoW) approach. The shallow CPU usage is required for the leader election mechanism. CPU utilization while the experiment lies in the range of 0.9% and 14%. While simulating a one-hour duration, the peak CPU utilization is 21%.</description><identifier>ISSN: 1939-0114</identifier><identifier>EISSN: 1939-0122</identifier><identifier>DOI: 10.1155/2023/8468745</identifier><language>eng</language><publisher>London: Hindawi</publisher><subject>Accountability ; Biomedical data ; Biosensors ; Blockchain ; Body area networks ; Cellular communication ; Clinical trials ; Compression ratio ; Cryptography ; Data collection ; Data compression ; Data transmission ; Design ; Elections ; Health care policy ; Hospitalization ; Hybrid systems ; Parkinson's disease ; Patients ; Physiology ; Response time (computers) ; Sensors ; Sparsity ; Wireless sensor networks</subject><ispartof>Security and communication networks, 2023-05, Vol.2023, p.1-12</ispartof><rights>Copyright © 2023 Vinay Pathak et al.</rights><rights>Copyright © 2023 Vinay Pathak et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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| source | Wiley Online Library Open Access; Free E-Journal (出版社公開部分のみ）; Alma/SFX Local Collection |
| subjects | Accountability Biomedical data Biosensors Blockchain Body area networks Cellular communication Clinical trials Compression ratio Cryptography Data collection Data compression Data transmission Design Elections Health care policy Hospitalization Hybrid systems Parkinson's disease Patients Physiology Response time (computers) Sensors Sparsity Wireless sensor networks |
| title | Efficient Compression Sensing Mechanism Based WBAN System Using Blockchain |
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