학술논문
Resource Management Approach for Pervasive Computing in Smart Cities
Document Type
Conference
Author
Source
2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) Artificial Intelligence and Smart Systems (ICAIS), 2021 International Conference on. :458-464 Mar, 2021
Subject
Language
Abstract
Connectivity between pervasive environments such as WSN and IoT are very challenging task in the heterogeneous dynamic network. The connectivity between source to sink is changing each and every second because the dynamic environments network sources are changing. So, searching, connecting and managing the resources are a very difficult task. Especially in smart cities very difficult to route and manage the devices in each and every seconds. So, resource management techniques are very important to manage the resources in pervasive IoT environments. The traditional routing and management techniques is not fit for the dynamic routing resource management in the pervasive IoT environments. So, the proposed dynamic IoT resource management (DRIM) system sinks the network in the heterogeneous environments and it reduces the energy, manages the energy harvesting and increases the throughputs. The proposed DRIM compared with greedy and random methods and produce better results in energy harvesting and throughputs.