Demo Data from EDBT 2026 / reviewers in the wild / expert
Vishal Sevani
dblp:59/10956
· DBLP profile ↗
4ranked-venue papers
2as first author
2since 2021 · last 2026
0009-0006-1102-4982ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 2 first-author · 1 since 2021Security and privacy · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
4 papers |
Wireless networking · 66% Cellular and mobile networks · 25% Network measurement and analytics · 6% | |
| Network and information security
1 paper |
Blockchain and cryptocurrency security · 100% |
Topics — the 5 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking
medium access control |
1.0 | 1 | 2026 | Optimum MultiAP Coordination in Wi-Fi With Overlay Time-Sliced Scheduling · IEEE Trans. Netw. 2026 |
Cellular and mobile networks › radio resource management
multi-AP coordination |
1.0 | 1 | 2026 | Optimum MultiAP Coordination in Wi-Fi With Overlay Time-Sliced Scheduling · IEEE Trans. Netw. 2026 |
Wireless networking
WLAN |
1.0 | 1 | 2026 | Optimum MultiAP Coordination in Wi-Fi With Overlay Time-Sliced Scheduling · IEEE Trans. Netw. 2026 |
Wireless networking
wireless mesh network |
0.4 | 2 | 2016 | HTTPDissect: Detailed Performance Analysis of HTTP Web Browsing Traffic in TDMA Mesh Networks · IEEE Trans. Mob. Comput. 2016 Implementation-Based Evaluation of a Full-Fledged Multihop TDMA-MAC for WiFi Mesh Networks · IEEE Trans. Mob. Comput. 2014 |
Wireless networking › medium access control › TDMA
TDMA MAC protocol |
0.2 | 1 | 2016 | HTTPDissect: Detailed Performance Analysis of HTTP Web Browsing Traffic in TDMA Mesh Networks · IEEE Trans. Mob. Comput. 2016 |
Methods — techniques the papers use, named apart from their topics
overlay scheduling · 1.0simulation · 0.2performance comparison · 0.2testbed evaluation · 0.2micro-benchmarks · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Optimum MultiAP Coordination in Wi-Fi With Overlay Time-Sliced Scheduling
Shivam Vinayak, Anusha GP, Vishal Sevani, Purushothaman Saravanan, Rahul Nair 0001, Rishabh Roy, S. V. R. Anand, Joy Kuri, Anurag Kumar 0001 |
IEEE Trans. Netw. | 3 |
| 2024 | Proof of Backhaul: Trustfree Measurement of Broadband Bandwidth
Peiyao Sheng, Nikita Yadav, Vishal Sevani, Arun Babu, S. V. R. Anand, Himanshu Tyagi, Pramod Viswanath |
NDSS | 3 |
| 2016 | HTTPDissect: Detailed Performance Analysis of HTTP Web Browsing Traffic in TDMA Mesh NetworksabstractTDMA based wireless mesh networks have gained prominence as some of the recent standards such as WiMAX and 802.11s have proposed the use of TDMA based MAC protocol for mesh networks. Even though HTTP web browsing traffic constitutes a significant percentage of Internet traffic, but as of yet there have been no attempts to study the performance of HTTP based web browsing traffic in TDMA mesh networks. HTTP web browsing traffic has different characteristics compared with other types of traffic. In particular, as HTTP traffic consists of large number of small sized file transfers (median file size is 10 KB), it can impose high scheduling overhead. As we highlight, HTTP traffic requires that RTT (round trip time) be small and also it requires that large sized flows be allocated higher share of bandwidth. Given these characteristics of HTTP traffic, it is not clear what protocol design for TDMA mesh networks performs best. In this work, we have studied the performance comparison of four different TDMA MAC protocols for HTTP web browsing traffic. Two of these protocols follow distributed scheduling, one centralized and the other naive static fixed schedule approach. We compare the TDMA MAC protocols for various aspects such as optimum values of different TDMA MAC parameters, design of TDMA scheduling algorithm, performance under varying load, in presence of wireless loss, etc. Our study highlights a crucial aspect that the two distributed protocols specified by the recent WiMAX and 802.11s standards, are incapable of handling wireless packet loss and perform poorly in presence of large HTTP file downloads. As against this, the centralized protocol performs well for the different experiment cases that we have considered. However, our analysis reveals that the performance of the centralized protocol can be further improved if we eliminate the flow set-up phase and minimize the delay in propagating the TDMA schedule. Likewise, we carry out required modifications to the centralized protocol and observe that the performance of the modified protocol, which we term as the sf-centralized (set-up free centralized) protocol, improves by as much as 19 percent under moderate load and 47 percent under high load. Vishal Sevani, Bhaskaran Raman |
IEEE Trans. Mob. Comput. | 1 |
| 2014 | Implementation-Based Evaluation of a Full-Fledged Multihop TDMA-MAC for WiFi Mesh NetworksabstractWireless mesh networks in general, and WiFi mesh networks in particular, offer a cost-effective option to provide broadband connectivity in sparse regions. Effective support for real-time as well as high throughput applications requires a TDMAbased approach. However, multihop TDMA implementations in wireless have been few and far-between, and for good reasons. These present significant issues in terms of time synchronization, TDMA schedule dissemination, multichannel support, routing integration, spatial reuse and so on. And achieving these efficiently, in the face of wireless channel losses presents a formidable challenge. In this work, we present an implementation of LiT MAC, a full-fledged multihop TDMA MAC, on commodity WiFi platforms. We undertake extensive evaluations using microbenchmarks as well as application level performance, using outdoor as well as indoor testbeds. We also present an integration of LiT MAC with various routing metrics, and a routing stability study of recently proposed routing metrics (ROMA, SLIQ). Our results show that we can achieve μs granularity time synchronization across several hops, and TDMA slot size as small as 2 ms. These imply low control overheads. Experiments over several days, on our nine-node outdoor testbed shows that LiT MAC's soft-state-based approach is effective in robust operation even in the presence of significant external interference. Vishal Sevani, Bhaskaran Raman, Piyush Joshi |
IEEE Trans. Mob. Comput. | 1 |