Rajvardhan Somraj Deshmukh

Bio: Rajvardhan Somraj Deshmukh is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Cellular network & Information-centric networking. The author has an hindex of 3, co-authored 6 publications receiving 37 citations.

Improving QoE of ABR Streaming Sessions through QUIC Retransmissions

Abstract: While adaptive bitrate (ABR) streaming has contributed significantly to the reduction of video playout stalling, ABR clients continue to suffer from the variation of bit rate qualities over the duration of a streaming session. Similar to stalling, these variations in bit rate quality have a negative impact on the users' Quality of Experience (QoE). In this paper, we use a trace from a large-scale CDN to show that such quality changes occur in a significant amount of streaming sessions and investigate an ABR video segment retransmission approach to reduce the number of such quality changes. As the new HTTP/2 standard is becoming increasingly popular, we also see an increase in the usage of QUIC as an alternative protocol for the transmission of web traffic including video streaming. Using various network conditions, we conduct a systematic comparison of existing transport layer approaches for HTTP/2 that is best suited for ABR segment retransmissions. Since it is well known that both protocols provide a series of improvements over HTTP/1.1, we perform experiments both in controlled environments and over transcontinental links in the Internet and find that these benefits also "trickle up'' into the application layer when it comes to ABR video streaming where QUIC retransmissions can significantly improve the average quality bitrate while simultaneously minimizing bit rate variations over the duration of a streaming session.

Analysis of DSDV, OLSR and AODV Routing Protocols in VANETS Scenario: Using NS3

Abstract: VANET's is an emerging field in communication networks and has become a promising tool to provide safety and connectivity for an intelligent transport system. Choosing appropriate routing protocols is necessary for smooth communication. In this paper we use NS-3 to implement AODV, OLSR and DSDV routing on V-to-V, I-to-I and V-to-I nodes. Then we employ Qos (Quality of service) parameters like throughput, PLR (packet loss ratio) and packet overhead, as evaluation parameters to compare these routing protocols. We use IEEE 802.11p [2] and Nakagami-n fast fading propagation loss model for the simulations. The simulation results show that OLSR is the most optimum technique amongst AODV, DSDV and OLSR for our model.

An information centric networking approach for sensor to vehicular network communication in disasters

Abstract: In this paper, we present an NDN-based architecture for the dissemination of roadside information to cars. Our focus is on flooding events which are often caused by severe weather which also impacts the communication infrastructure. We compare the performance of different message forwarding strategies in VANETs (Vehicular Adhoc Networks) through simulation. In addition, we analyze how our approach compares to an infrastructure-based approach that is less resilient in the case of natural disaster. Our simulations show that the strategy that considers geographical location and velocity of the vehicle performs better compared to others, which in turn outperforms the infrastructure-based approach.

Increasing Network Resiliency via Data-Centric Offloading

Abstract: Mobile traffic volume is increasing rapidly, pressuring the underlying infrastructure to quickly increase its capacity. New applications are further exacerbating this problem. Device-to-Device communication has been long recognized as a means to offload traffic from the infrastructure; however, the host-oriented model of the TCP/IP-based Internet poses challenges to this communication pattern. This paper addresses these issues by proposing a scheme that uses a data-centric model to fetch contents from nearby peers while increasing the resiliency of the network in cases of outages and disasters. We collected real data from social media to create a content request pattern and evaluate our approach through the simulation of realistic urban scenarios. Additionally, we analyze the scenario of large crowds in sports venues. Our simulation results show that we can offload traffic from the backhaul network by up to 51.7%, suggesting an advantageous path to support the surge in traffic while keeping complexity and cost for the network operator at manageable levels.

Improving Resilience of Communication in Information Dissemination for Time-Critical Applications

Abstract: IMPROVING RESILIENCE OF COMMUNICATION IN INFORMATION DISSEMINATION FOR TIME-CRITICAL APPLICATIONS

Performance analysis and comparison of the DSDV, AODV and OLSR routing protocols under VANETs

Abstract: Vehicle-to-Vehicle (V2V), Vehicle-to-Road Infrastructure (V2R) and Vehicle-to-Pedestrian (V2P) communications are paramount for paving the way for smarter, cleaner and safer cities and roads. We investigate on how three state-of-the-art Mobile Ad-Hoc Network (MANET) routing protocols behave over the IEEE 802.11p/WAVE stack, which has been recently been specified for Vehicular Ad-hoc Networks (VANETs): Ad-hoc On-Demand Distance Vector (AODV), Optimized Link State Routing (OLSR) and Destination-Sequenced Distance-Vector (DSDV). Based on ns-3 and BonnMotion simulations, we evaluate Packet Delivery Rate, Goodput, Routing Overhead and End-to-End Delay for different trajectories, average speeds, and network densities. Our results show that the DSDV and OLSR protocols have a better performance than AODV, for low-density and low-speed scenarios. Additionally, we have observed that when the number of Nodes (network density) or Nodes’ velocity increases, the OLSR protocol performs better than the other two.

Comparative analysis of proactive and reactive routing protocols in VANET environment

Abstract: VANET (Vehicle Ad hoc Network) is a subclass of MANET, which is a rapidly increasing research field in the world. Vehicles are interactive with each other, V2I & hybrid in VANET. Several difficulties are facing author’s today V2V, V2I, and hybrid communication. Vehicles usually turn the field of VANET communication, transparent and enter new vehicles, network size or street conditions are main elements of this communication, which poses particular challenges such as highly dynamic topology, unregulated network size, high mobility, scalability, and networking. The previous MANET protocols are not enough to help VANET as a result of these issues. In this study, we surveyed and published numerous classes of VANET routing protocols (VRPs). Comparing the different classes of VANET protocols gives guidelines in one place. In this work, we utilize network simulator 3 to apply AODV, DSDV & OLSR routing on V2V, nodes. The evaluation criteria for comparison of these routing protocols include the use of QoS (Quality of Service) parameters such as PLR, packet overhead & throughput. For simulations, we use IEEE 802.11p model. The results of the simulation demonstrate that AODV is the most optimal method among AODV, OLSR & DSDV for our model.

Routing algorithm design of satellite network architecture based on SDN and ICN

Abstract: Summary In view of the problems of low routing efficiency, complex control process, and difficult network management in big data environment in the traditional integrated space‐terrestrial network,...

Application-based QoE support with P4 and OpenFlow

Abstract: Although Software-Defined Wide Area Networks (SD-WANs) are now widely deployed in several production networks, they are largely restricted to traffic engineering approaches based on layer 4 (L4) of the network protocol stack. Such approaches result in improved Quality-of-Service (QoS) of the network overall without necessarily focussing on the requirements of a specific application. However, the emergence of application protocols such as QUIC and HTTP/2 needs an investigation of layer 5-based (L5) approaches in order to improve users' Quality-of-Experience (QoE). In this paper, we leverage the capabilities of flexible, P4-based switches that incorporate protocol-independent packet processing in order to intelligently route traffic based on application headers. We use Adaptive Bit Rate (ABR) video streaming as an example to show how such an approach can not only provide flexible traffic management but also improve application QoE. Our evaluation consists of an actual deployment in a research testbed, Chameleon, where we leverage the benefits of fast paths in order to retransmit video segments in higher qualities. Further, we analyze real-world ABR streaming sessions from a large-scale CDN and show that our approach can successfully maximize QoE for all users in the dataset.