On Link Availability Probability of Routing Protocols for Urban Scenario in VANETs

This paper presents the link availability probability. We evaluate and compare the link availability probability for routing protocols; Ad hoc On-demand Distance vector (AODV), Dynamic Source Routing (DSR) and Fisheye State Routing (FSR) for different number of connections and node density. A novel contribution of this work is enhancement in existing parameters of routing protocols; AODV, DSR and FSR as MOD-AODV, MOD-DSR and MOD-FSR. From the results, we observe that MOD-DSR and DSR outperform MOD-AODV, AODV, MODOLSR and OLSR in terms of Packet Delivery Ratio (PDR), Average End-to End Delay (AE2ED), link availability probability at the cost of high value of Normalized Routing Overhead (NRO).Comment: IEEE Conference on Open Systems (ICOS2012)", Kuala Lumpur, Malaysia, 201

Effect of pairing correlations on incompressibility and symmetry energy in nuclear matter and finite nuclei

The role of superfluidity in the incompressibility and in the symmetry energy is studied in nuclear matter and finite nuclei. Several pairing interactions are used: surface, mixed and isovector dependent. Pairing has a small effect on the nuclear matter incompressibility at saturation density, but the effects are significant at lower densities. The pairing effect on the centroid energy of the isoscalar Giant Monopole Resonance (GMR) is also evaluated for Pb and Sn isotopes by using a microscopic constrained-HFB approach, and found to change at most by 10% the nucleus incompressibility $K_A$. It is shown by using the Local Density Approximation (LDA) that most of the pairing effect on the GMR centroid come from the low-density nuclear surface.Comment: 9 pages, 6 figure

On the practical utility of a continuum traffic flow model on curvy highways in adverse weather conditions

The macroscopic continuum traffic flow models are being investigated to predict and ameliorate traffic more efficiently. These models are beneficial implementation tools to comprehend and complement the shortfalls in traffic evolution. Despite the significant enhancements in devising the traffic dynamics, the practical utilization of these macroscopic models is not being fully explored. In this study, the Non-Homogeneous Stimulus-Response Model (NHSRM) (Imran et al., 2023) is investigated for its application in forecasting traffic flow on a curvy highway during various weather conditions. The weather impact, in the specific, dry, light rainfall, moderate rainfall, and heavy rainfall on the travel time, velocity, and density spatiotemporal evolution on a curvy highway is analyzed. The flow during different weather conditions is investigated over two curved roads with 120 m, and 500 m radii. As evident from the results, significant velocity breakdowns during heavy rainfall impact the upstream traffic which contributes to congestion development. The average velocity of traffic depletes significantly, and the congestion formation upstream is significant. While the travel time of particular highway segments elevates sharply during heavy rainfall. A comprehensive understanding of the insights, and the critically associated with the parameters of the model, in particular, on the choice of the maximum velocity of the highway has been presented for NHSRM