Abstract
The Internet of Things impacts our everyday lives in many ways, from small smart devices to large industrial structures. WSN is a part of the IoT topology. It is the foundation of many IoT applications like surveillance, monitoring, defense technology, etc. Since cloud-assisted IoT services may be very energy demanding for energy-constrained sensor nodes, an edge-computing architecture is preferred. A typical WSN consists of tiny devices known as nodes, and they have limited computational power. To improve the energy utilization, the clustering is recognized as an significant method in safeguarding the energy of WSNs. Clustering strategies concentrate on conflict resolution arising from inadequate data transmission. Energy-efficient clustering methods are suggested in this paper to improve WSN’s lifespan. The proposed clustering methods are (i) hierarchical clustering and (ii) distributed in nature. The proposed protocols to some extent give better output than the existing one but still, it will require some refinement. For the simulation purpose, we have used Python programming environment in Windows 10 machine, and in the hardware implementation, we have used Ubimote as our main device.
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Mazumdar, N. et al. (2021). An Efficient Communication Protocol for Energy-Constraint IoT Devices for Environment Monitoring Applications. In: Singh, P.K., Noor, A., Kolekar, M.H., Tanwar, S., Bhatnagar, R.K., Khanna, S. (eds) Evolving Technologies for Computing, Communication and Smart World. Lecture Notes in Electrical Engineering, vol 694. Springer, Singapore. https://doi.org/10.1007/978-981-15-7804-5_36
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DOI: https://doi.org/10.1007/978-981-15-7804-5_36
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