| Autor: |
Mahantesh, H. M., Guptha, M. Nageswara, Hema, M. S. |
| Zdroj: |
SN Computer Science; November 2023, Vol. 4 Issue: 6 |
| Abstrakt: |
Internet of Things (IoT) technology comprises numerous heterogeneous devices that generate enormous data.With IoT’s development, the network has been essential to ensure the variance Quality of Service (QoS) necessities of the diverse IoT services’ numerous data flows. Software-defined network (SDN) is a proficient methodology to ensure the diverse services’ QoS necessities via separating the control logic as of the networks’ data planes. Aimed at ensuring the data flows’ QoS necessities within SDN, in this work, the optimal path selection’s issue within SDN is addressed by proposing Improved Beetle Swarm Optimization (IBSO) algorithm that can select the communication and backup paths between cluster head (CH) and BS. Initially, an Elite Opposition-centered Mine Blast Algorithm (EOMBA) is proposed for performing clustering and CH selection of the IoT-SDN in an energy-aware manner that will save the energy of the nodes within the network and increments the network’s lifetime. The clustered IoT devices perform caching for their sensed data in SDN. Then, after path selection, the aggregated data (cached data of IoT devices) of CH are sent to the global cache controller (BS) via the optimal path. The BS stores the flow entries of all CH with their cached content and sent to the cloud server. Whenever a request is made by the user, the cloud server sends particular cache data of the IoT device from the BS to the user. The proposed methodology’s outcomes are examined and contrasted with the other existent techniques to validate that the IBSO proposed chooses the paths betwixt CH and BS optimally by fulfilling the QoS necessities. |
| Databáze: |
Supplemental Index |
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