Abstract
The mechanical machines, computing, and digital devices collectively known as the internet of things can being identified by other devices with an Internet connection. Wireless sensor networks with a combination of control devices, computers, communications, and energy storage keep up with constant changes in the physical world. This group of independent wireless sensors is inexpensive and consumes less power, highly scalable, adaptable to hostile and harsh environments that can connect with and within the framework of the IoT, it tracks the physical changes of elements activated by the Internet. Traditional methods of connecting between WSN and IoT consume more power and sometimes fail due to network lifespan, Package speed, and delivery time. Therefore, the proposed method uses cluster chains with a simple system based on the support of fuzzy neural rules determination of the shortest path. This provides improved and energy-efficient routing functionality for the IoT with WSN and ensures that the path is anchored. This leads to improvised QoS statistics and lower power consumption. Performance analysis is done in terms of package delivery speed, energy consumption, sensor network lifetime, and lead times to ensure smooth operation.
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Menon, P.C., Rani, B.K., Kumar, K. et al. An effective OS–DPLL design for reducing power dissipation in an IoT application. J Ambient Intell Human Comput (2021). https://doi.org/10.1007/s12652-021-03016-z
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DOI: https://doi.org/10.1007/s12652-021-03016-z