An overview of data redundancy reduction schemes in WSNs

Sharma, Vibhor; Kumar, S. Manoj; Bhushan, Shashi

doi:10.1109/icaccaf.2017.8344670

Cited by 4 publications

(1 citation statement)

References 31 publications

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“…In this phase, the Arduino kit plays as the brain for the proposed scheme where the sensor data are collected and processed [12][13][14]. To make it more intelligent, instead of sending the data directly to the cloud, either is it essential or not, the proposed scheme defned some condition to the process according to it, the processor decides to send or not.…”

Section: Data Process Phasementioning

confidence: 99%

Efficient Compression Sensing Mechanism Based WBAN System Using Blockchain

Pathak

Singh

Chandan³

et al. 2023

Security and Communication Networks

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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%.

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Section: Data Process Phasementioning

confidence: 99%