Article: Effective prediction of bitcoin price using wolf search algorithm and bidirectional LSTM on internet of things data Journal: International Journal of System of Systems Engineering (IJSSE) 2021 Vol.11 No.3/4 pp.224 - 236 Abstract: Internet of things is the concept of establishing relationships and interactions with other connected devices through a network to reach a specific objective. The collected data from devices could be transformed into valuable insights by applying some intelligent learning algorithms. A distributed, permission less ledger called IOTA (MIOTA) manages micro transactions between multiple devices with the help of IoT. It provides the information about the transactions made with the specific type of crypto currency in the market. In this paper, an effective crypto currency price prediction model is proposed to identify the fluctuations in currency value from the past one-year data. Wolf search optimisation algorithm selects the best performing feature subset. Bidirectional long short-term memory (BiLSTM) model is employed to train and validate the data captured from the feature selection process. The proposed model attained 93% accuracy, significantly higher than the existing methods, portraysits significance and efficacy. Inderscience Publishers - linking academia, business and industry through research

Title: Effective prediction of bitcoin price using wolf search algorithm and bidirectional LSTM on internet of things data

Authors: V.R. Niveditha; Karthik Sekaran; K. Amandeep Singh; Sandeep Kumar Panda

Addresses: Department of Computer Science and Engineering, Dr. MGR Educational and Research Institute University, Chennai – 600095, Tamil Nadu, India ' Vellore Institute of Technology, Vellore – 632014, Tamil Nadu, India ' Department of Computer Science and Engineering, Dr. MGR Educational and Research Institute University, Chennai – 600095, Tamil Nadu, India ' Department of Computer Science and Engineering, ICFAI Foundation for Higher Education, Hyderabad – 500029, India

Abstract: Internet of things is the concept of establishing relationships and interactions with other connected devices through a network to reach a specific objective. The collected data from devices could be transformed into valuable insights by applying some intelligent learning algorithms. A distributed, permission less ledger called IOTA (MIOTA) manages micro transactions between multiple devices with the help of IoT. It provides the information about the transactions made with the specific type of crypto currency in the market. In this paper, an effective crypto currency price prediction model is proposed to identify the fluctuations in currency value from the past one-year data. Wolf search optimisation algorithm selects the best performing feature subset. Bidirectional long short-term memory (BiLSTM) model is employed to train and validate the data captured from the feature selection process. The proposed model attained 93% accuracy, significantly higher than the existing methods, portraysits significance and efficacy.

Keywords: crypto currency; wolf search algorithm; bidirectional LSTM; optimisation; internet of things applications.

DOI: 10.1504/IJSSE.2021.121473

International Journal of System of Systems Engineering, 2021 Vol.11 No.3/4, pp.224 - 236

Received: 20 May 2020
Accepted: 09 Nov 2020
Published online: 14 Mar 2022 *

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Title: Effective prediction of bitcoin price using wolf search algorithm and bidirectional LSTM on internet of things data

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