Efficient handover decision for the Internet of Things: an improved multi-technology gateway management approach
Internet of Things (IoT) has been emerging as an essential aspect of smart applications that are presently there in wireless communication. Gateways play an important role in IoT as they are capable of filtering the data that is being communicated to the cloud platforms. The data is sent via interme...
Gespeichert in:
Veröffentlicht in: | Microsystem technologies : sensors, actuators, systems integration actuators, systems integration, 2024-04, Vol.30 (4), p.423-437 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Internet of Things (IoT) has been emerging as an essential aspect of smart applications that are presently there in wireless communication. Gateways play an important role in IoT as they are capable of filtering the data that is being communicated to the cloud platforms. The data is sent via intermediary gateways utilizing a variety of wireless technologies to application servers located in the IoT cloud. Using standard routing strategies to link millions of IoT devices to the internet results in gateway congestion and overload resulting in decrease in IoT network throughput. But for cost-effectiveness, optimal gateway placement is required and this can be possible by integrating Solution Specific Gateways (SSGs) thus it creates a multi-technology gateways management scenario. In this paper, an Enhanced Multi-technology Gateway Management (EMTGM) scheme has been proposed based on the efficient selection of SSGs along with context aware handover decision making based on multiple objectives. The proposed scheme is further strengthened as both AHP and TOPSIS concepts are integrated for effective decision making which makes it a more efficient one. The proposed framework is simulated on Mobisim and its effectiveness has been analyzed with respect to existing approaches under the network parameters like End to end Delay, Packet Delivery Ratio, Residual Energy, Energy Consumption and Throughput by varying the arrival tasks, node count and simulation time. From the results, it is inferred that the proposed scheme outperforms existing schemes and thus is a quite effective one. |
---|---|
ISSN: | 0946-7076 1432-1858 |
DOI: | 10.1007/s00542-023-05550-6 |