Internet of Things Driven Rule Based Management Model for Heterogeneous Environment

Autor: Rambabu, Kalathiripi, Saravanan, K., Misra, Siddharth, Patil, Sandip Ramesh, Rao, M. Srinivasa, Mishra, Nilamadhab, Chaudhari, Niraj C.
Zdroj: SN Computer Science; June 2024, Vol. 5 Issue: 5
Abstrakt: The development of heterogeneous systems in the environment of smart homes using the Internet of Things (IoT) has been accelerated by recent developments in computer and communication technology. Nevertheless, a large number of these heterogeneous networks are stand-alone and do not adapt to cooperative task execution. As a result, inter-operation can be challenging, especially when it comes to providing services that residents prefer. In this study, we provide a novel rule-based management model (RBM) for a heterogeneous system in an IoT-based smart home environment. The suggested framework uses Event-Condition-Action (E-C-A) and the Simple Object Access Protocol (SOAP) to facilitate communication across different systems. With the help of the E-C-A rule mechanism, we have constructed the framework with several sub-systems to show its efficacy for inter-operation. A Local Area Network (LAN) environment was used to evaluate the framework's performance, and it proved to be trustworthy for an IoT-based smart home environment. The values of the experimental result are throughput (98.5%), execution time (80 s), communication cost (70%), energy management (98%), and latency (73 s). We apply swarm intelligence and grey wolf optimization (SI-GWO) to speed up the RBM and boost the performance of this model. Our experimental result shows that our RBM model is more efficient than other methods.
Databáze: Supplemental Index
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