Decentralized IoT Network for Sustainable Water Desalination Using Bio-Membrane Nanotech
An innovative decentralized IoT-based desalination system based on bio-membrane nanotechnology addressing the problem of the global water crisis is conceived in this research. Most conventional desalination techniques are based on centralized, energy-intensive systems, which impede scalability and sustainability. By using biomembranes composed of protein-polymer hybrids designed to mimic aquaporins for increased permeability and improved salt rejection, the proposed system is expected to operate effectively. The eco-friendly bio membranes reduce the environmental impact. Therefore, these IoT-enabled sensors facilitate real-time monitoring of key parameters, such as salinity, pressure, and membrane performance, enabling data-driven optimization of the membrane through machine learning algorithms. The control system utilizes blockchain technology, which facilitates the management of multiple nodes and enables secure, self-directed decision-making. The system also uses renewable energy sources, some of which are integrated into the system, while others form self-healing biopolymer coatings to minimize maintenance costs. Architecture is built on a three-layer model, composed of the perceptual, network, and application layers, to ensure continuous data acquisition and processing, enabling data to inform the decision-making process. The results of the experiments show a tenfold increase in desalination efficiency, accompanied by a reduction in energy consumption of up to 40% and an extension of the membrane's lifetime. In this way, the proposed solution represents a novel, scalable, cheap, and sustainable method of desalination in remote or off-grid regions.
Authors
- Dipto Biswas
- Rashmi Aggarwal (ORCID: https://orcid.org/0000-0002-8706-6680)
- Dhablia Dharmesh Kirit
Institutions
- International Management Institute (IN)
- Kalinga University (IN)
Publication Details
- Journal
- International Journal of Basic and Applied Sciences
- Published
- 2025-10-31
- DOI
- https://doi.org/10.14419/5sqrcd12
- Primary Topic
- Membrane Separation Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00