Abstract
The Internet of Things (IoT) and sensor technologies are combined with various communication networks in smart appliances and perform a significant role. Connected devices sense, analyze, and send environmental data, as well as support applications’ connections. Mobile agents can be explored to provide sensing intelligence with IoT-based systems. Many strategies have been proposed to address the issue of energy efficiency while maintaining the sensor load at a low cost. However, advancements are still desired. Furthermore, without fully trustworthy relationships, sensitive data are at risk, and the solution must provide privacy protection against unexpected events. With the development of two algorithms, this study proposes a mobile agent-based efficient energy resource management solution and also protects IoT appliances. Firstly, the software agents perform a decision using past and present precepts, and by exploring rule-based conditions, it offers an energy-efficient recommended system. Second, data from IoT appliances are securely evaluated on edge interfaces before being transferred to end-centers for verification. Simulations-based tests are conducted and verified the significance of the proposed protocol against other studies in terms of network metrics.
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Cited by
3 articles.
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1. An IoT-based low-cost architecture for smart libraries using SDN;Scientific Reports;2024-03-25
2. SMART UTIL: Utility Bill Management and Usage Analysis for Sustainable Lifestyle;2023 5th International Conference on Advancements in Computing (ICAC);2023-12-07
3. Energy Optimization in Wireless Sensor Networks Using Mobile Agents;2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2022-12-23