Rajvardhan Deshmukh

University of Massachusetts, Amherst

Master of Science in Electrical and Computer Engineering

• Computer Networks • Trustworthy Computing • Probability and Random Processes • Advanced System Software Design • Algorithms • Wearable & MobileSens/ClincSci • Data Analytics

Vellore Institute of Technology, Tamil Nadu

Bachelor of Technology in Electronics and Communication Engineering

Improving QoE of ABR Streaming Sessions through QUIC Retransmissions

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.

Increasing Network Resiliency via Data-Centric Offloading

The soaring number of mobile devices, coupled with the increase in traffic, is posing a significant challenge to cellular networks. Network operators have to deploy more base stations to cope with the load and user's expectations; however, this approach increases complexity and it's hard to manage. We propose M2M communication that applies Information-Centric Networking (ICN) to fetch content from nearby peers prior to sending the request to the RAN. In this ongoing research, we expect to successfully fetch partial contents from the MANET, ultimately offloading base stations.

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

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.

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

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 paVANET'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 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.rameters to compare these routing protocols. We use IEEE 802.11p 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.