Publication: Optimized Location Dependent Data Retrieval Approach For Internet Of Things Based On Named Data Networking
| dc.contributor.author | Ali, Aboodi Ahed Hussein | |
| dc.date.accessioned | 2026-04-27T02:20:14Z | |
| dc.date.available | 2026-04-27T02:20:14Z | |
| dc.date.issued | 2025-02 | |
| dc.description.abstract | The internet of things (iot) demands efficient, adaptable, and scalable data retrieval mechanisms to meet the dual requirements of data-oriented and location-dependent host-oriented scenarios. Named data networking (ndn) offers a promising alternative to traditional ip-based architectures by focusing on content rather than host-based communication. However, existing ndn-based solutions face challenges in resource-constrained environments, including limited support for location-dependent data delivery and retrieval, inefficiencies in multicast forwarding, and high transmission overhead. This research introduces e-ndn, an enhanced ndn architecture tailored for wireless resource-constrained iot environments. E-ndn integrates three core modules: (1) the dlh naming scheme and local-first forwarding, which combines hierarchical location-enabled naming with proximity-aware interest suppression and backup forwarding procedures for enhanced reliability; (2) wildcard-based naming and forwarding, which optimizes multicast data retrieval by consolidating interest requests, reducing redundancy, and enabling more proximate location targeting; and (3) the path-selection module, which dynamically optimizes routing based on node proximity and capabilities, while defining and enabling broadcast domain limits to mitigate congestion. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/24007 | |
| dc.language.iso | en | |
| dc.subject | Internet of things | |
| dc.title | Optimized Location Dependent Data Retrieval Approach For Internet Of Things Based On Named Data Networking | |
| dc.type | Resource Types::text::thesis::doctoral thesis | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |