EDBT 2026 Demo / reviewers in the wild / expert
Anu Kaushik
dblp:339/7827
· DBLP profile ↗
2ranked-venue papers in the field
2as first author
2since 2021 · last 2023
0000-0003-2915-0064ORCID · reported
Domains — venue-derived; a paper can count in several
Big Data, Cloud & Distributed Data Systems · 2 (2 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | A Fuzzy Optimized Route Selection Framework for Autonomous Vehicles using V-NDNabstractRapid mobility and frequent disconnection in vehicular networks makes multi-hop data delivery challenging. To address this concern, adaptive data forwarding is applied over vehicular networks in a named data networking environment. We have proposed An Interest Chain based Forwarding Mechanism (ICFM), which includes a chain based forwarding mechanism by employing fuzzy logic to evaluate the next chain member. Autonomous vehicles forward a packet to the next promising vehicle and in this way a chain is formed to satisfy interest with the requested data. The proposed fuzzy-based interest chain mechanism is used to forward a packet to destination and receive a corresponding data packet with decreased data delivery delay. Experimental analysis has been performed on ndnSIM to verify the performance of the suggested scheme. The scheme runs on different scenarios and efficiency has been observed in terms of interest satisfaction ratio, average number of interest packets, average number of data packets and average delay. Anu Kaushik, Rasmeet S. Bali, Gautam Srivastava 0001 |
IEEE Big Data | 1 |
| 2022 | Adaptive Content Forwarding Mechanism for Platoon based Vehicular Named Data NetworksabstractVehicular networking systems rely on Internet Protocol to exchange information among vehicles. With the increasing number of vehicles, the communication overhead has increased significantly a nd h as b ecome m ore c ontent centric. To resolve this problem, the Named data networking-based communication model has been used. This communication is completely based upon the content rather than the location and provides better network coverage comparatively. The vehicles used for communication purposes in a network are moving in some specific p atterns, b ased o n h aving t he s ame destination, with the same speed parameters etc. These vehicles which have common interests form a platoon. This vehicular platoon helps in various fields such as safe driving, energy efficiency and road safety. This paper provides a scheme for the applicability of NDN to the vehicular platoon. Special design features are proposed for communication purposes in V-NDN-based vehicular platoons. The backbone platoon network is used for data dissemination between the vehicles on the highway. To check the efficiency of the proposed scheme, extensive simulations have been performed on the ndnSim simulator. More precisely, different scenarios have been used and analyzed their efficiency i n t erms o f d elay and throughput. Anu Kaushik, Deepanshu Garg, Anushka Nehra, Rasmeet S. Bali, Mohamed Baza, Gautam Srivastava 0001 |
IEEE Big Data | 1 |