Remodeled chaotic compressive sensing scheme for secure and energy-efficient data forwarding in body-to-body network

Nidhya, R.; Kumar, Mohit; Shankar, Achyut; Mala, Shuchi; Thakur, Sanjeev; Cheng, Xiaochun

doi:10.1016/j.compeleceng.2021.107633

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…First, to give the transmission power consumption closer to the real environment, we will replace the calculation method of power consumption based on the Friis model [57] with various losses L greater than 1, which can measure the actual power consumption in a non-ideal communication state more accurately, and can also well reflect the WBAN data transmission environment with mixed communication channels. Then, we consider using the adaptive weight approach [58] to fuse the related items in the Equation (15). The weight given by this adaptive weight method is not fixed and inconvenient.…”

Section: Discussionmentioning

confidence: 99%

“…Compressed sensing technology can compress the original data signal in low dimensional space by using the sparsity of the sampled signal to reduce the amount of data to be transmitted [15], and can also use nonlinear algorithm to finish the precise reconstruction of sparse or compressible signals. Although the literatures [11,16,17] have proposed various new compressed sensing methods or models for reducing energy consumption in WBAN, they all have certain limitations because they cannot solve the problem of the inconsistent dimensions of the parameter matrices caused by the heterogeneity of medical data.…”

Section: Introductionmentioning

confidence: 99%

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Two-Tier Cooperation Based High-Reliable and Lightweight Forwarding Strategy in Heterogeneous WBAN

Xiao

Yuan

2023

Sustainability

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Due to the limited and difficult access to sensor energy, energy conservation has always been an important issue in wireless body area network (WBAN). How to make full use of the limited energy of heterogeneous sensors in WBAN to achieve lightweight and high-reliable data transmission has also become key to the sustainable development of telemedicine services. This paper proposes a two-tier cooperation based high-reliable and lightweight forwarding (TTCF) mechanism via minimizing the amount of transmitted data and optimizing forwarding performance, so as to improve the efficiency and reliability of WBAN and reduce system energy consumption. In TTCF, an adaptive semi-tensor product compressed sensing evolution (STPCSE) model is first constructed to minimize the amount of data to be transmitted and extend the lifetime of sensors. Then, the important factors closely related to the energy consumption of human body sensors, including sampling frequency, residual energy and their importance in the network, are analyzed and redefined, and a high-reliable and lightweight forwarding model based on a multi-factor dynamic fusion is built. Finally, the performance and energy-saving effect of TTCF in a dynamic WBAN environment are compared and analyzed. Simulation results show that the system with our TTCF always performs the best in terms of data reconstruct accuracy, cumulative delivery rata, energy consumption and throughput. For example, its cumulative delivery rate is about 12% and 20.8% higher than that of UC-MPRP and CRPBA, and its residual energy and throughput are 1.22 times and 1.41 times, 1.35 times and 1.6 times of the latter two, respectively.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Two-Tier Cooperation Based High-Reliable and Lightweight Forwarding Strategy in Heterogeneous WBAN

Xiao

Yuan

2023

Sustainability

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“…Traditional data collection methods for WSN are mainly based on single path or multi‐path data collection methods, which cannot fully utilize network resources and optimize data transmission performance 7,8 . New data aggregation technologies have also emerged, such as deep learning based data aggregation technology 9,10 …”

Section: Lb Technology Under Wireless Sensor Based Bd‐aimentioning

confidence: 99%

“…7,8 New data aggregation technologies have also emerged, such as deep learning based data aggregation technology. 9,10 The data collection technology based on BD and AI can achieve more efficient and accurate data collection. 11,12 This technology focuses on data processing and analysis strategies.…”

Section: Wsn Data Collection Technologymentioning

confidence: 99%

Exploration on load balancing data aggregation algorithm in wireless sensor network based on big data artificial intelligence

Jiang

2023

Internet Technology Letters

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Based on BD‐AI(Big Data Artificial Intelligence) technology, an efficient LB data collection algorithm was designed and implemented for experimental verification and performance evaluation. The results showed the average load of algorithms A and B tested five times was between 44–48 and 60–64, respectively; the algorithms A and C were tested five times with data transmission speeds between 10–11Mbps and 4–5Mbps, respectively. The LB data aggregation algorithm based on BD‐AI in WSN is more efficient than traditional LB algorithms and traditional data aggregation algorithms. It can effectively help solve problems such as imbalanced data exchange, data redundancy, and energy waste among wireless sensor nodes, thereby improving the data collection efficiency and energy conservation of sensor networks, laying the foundation for implementing application scenarios such as intelligent perception and remote monitoring. The load balancing data aggregation algorithm of wireless sensor networks based on Big data artificial intelligence is faced with some challenges and difficulties. For example, wireless sensor networks usually produce a large amount of data, which needs real‐time aggregation and processing; Nodes in wireless sensor networks typically have limited computing, storage, and communication resources, among other issues.

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Energy Harvesting Scheme Using Queuing Theory for Wireless Body Area Network

Nidhya,

Pavithra,

Kalpana

et al. 2023

EAI/Springer Innovations in Communication and Computing

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Remodeled chaotic compressive sensing scheme for secure and energy-efficient data forwarding in body-to-body network

Cited by 6 publications

References 20 publications

Two-Tier Cooperation Based High-Reliable and Lightweight Forwarding Strategy in Heterogeneous WBAN

Two-Tier Cooperation Based High-Reliable and Lightweight Forwarding Strategy in Heterogeneous WBAN

Exploration on load balancing data aggregation algorithm in wireless sensor network based on big data artificial intelligence

Energy Harvesting Scheme Using Queuing Theory for Wireless Body Area Network

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