Izvorni znanstveni članak

https://doi.org/10.17559/TV-20220829132003

Novel Geodetic Fuzzy Subgraph-Based Ranking for Congestion Control in RPL-IoT Network

Mohamed Sithik M, ; Department of Computer Science and Engineering, Mohamed Sathak Engineering College, Sathak Nagar, SH 49, Keelakarai, Tamil Nadu, 623806, India
Muthu Kumar B ; Department of Computer Science and Engineering, School of Computing and Information Technology, REVA University, Kattigenahalli, SH 104, Srinivasa Nagar, Bengaluru, Karnataka, 560064, India

Sažetak

Congestion control is among the most challenging tasks in enhancing QoS in the Internet of Things (IoT). Currently, wireless networks are able to have a large number of connections but with a limited amount of network resources. Consequently, congestion occurs, which adversely affects throughput, transmission delay, packet losses, power consumption management, and the lifespan of a network. This is certainly relevant in networks where transmissions are controlled by the Routing Protocol for Low-Power and Lossy Networks (RPL), which is commonly employed in the Internet of Things network. To solve this problem, a novel Geodetic fuzzy subgraph-based ranking (GFSR-RPL) for congestion control is proposed. Initially, the proposed GFSR-RPL selects the cluster head using K-means clustering. Then the rank calculation can be done via the final route setting for data transmission. A route setup scheme consists of three elements: 1) a Round Trip Time (RTT) estimator that assesses congestion conditions in a variety of ways; 2) a trend and relative strength indicator analysis; and 3) a geodetic fuzzy subgraph rank calculation method that calculates initial RTO (initial retransmission timeouts) accurately. The proposed GFSR-RPL method reduces the energy consumption of up to 43.58%, 25.8%, 14.82% and 6.85% than existing methods such as RPR, CBR-RPL, ACW and ECLRPL.

Ključne riječi

clustering; geodetic fuzzy subgraph; internet of things; routing protocol for low-power and lossy networks; routing

Hrčak ID:

316381

URI

https://hrcak.srce.hr/316381

Datum izdavanja:

23.4.2024.

Posjeta: 27 *