Routing Selection and Routing Scheme for IoT Beyond 5G (B5G) Network Using Dispersed Path Selection for Communication and Multi-Criteria
The inconsistency of mobile nodes within the network makes single-pass communication unsatisfactory. Should a different course be followed, the communication system would be unable to manage the increased workload. Packet loss is unpredictable when mobile nodes have poor connectivity. In this network, path linkages are not monitored. One of the most exciting developments in B5G (beyond fifth generation) wireless networks is device-to-device (D2D) communication. In addition, communication expenditures are concentrated on obtaining effective packet forwarding. This is a result of the increased communication costs associated with the long-distance networks selected for packet transmission. Both packet loss and energy usage rise. In order to achieve the best minimal distance routing path, the suggested path selection communication (DPAC) approach is set up to use queue modifications, which manage the maintenance of packets and slots that are above their allotted limitations. The message keeps waiting in an effort to increase message broadcasting efficiency. In order to detect packet overload, the multipath interference detection method is set up to offer a link-based routing packet overload detection system. To solve these significant issues, an MBMQA (Mobility, Battery and Queue Length Multipath Awareness) routing strategy based on D2D communication is also available for IoT B5G networks. Comprehensive simulation findings at different device speeds show that MBLCR outperforms traditional methods in terms of energy efficiency, latency, packet transfer rate, throughput, and latency.
Authors
- Edwin Samraj R
- Oudaya Coumar
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/icscan62807.2024.10894364
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00