Demo Data from EDBT 2026 / reviewers in the wild / expert
Shravan Garlapati
dblp:117/2582
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2020
0000-0001-6203-3770ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 3 first-author
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
1 paper |
Internet of things and sensor networks · 44% Wireless networking · 44% Cellular and mobile networks · 6% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › cyber-physical systems › smart grid
advanced metering infrastructure |
0.2 | 1 | 2016 | SMAC: A Soft MAC to Reduce Control Overhead and Latency in CDMA-Based AMI Networks · IEEE/ACM Trans. Netw. 2016 |
Wireless networking › medium access control › MAC protocol
CDMA MAC protocol |
0.2 | 1 | 2016 | SMAC: A Soft MAC to Reduce Control Overhead and Latency in CDMA-Based AMI Networks · IEEE/ACM Trans. Netw. 2016 |
Wireless networking
medium access control |
0.2 | 1 | 2016 | SMAC: A Soft MAC to Reduce Control Overhead and Latency in CDMA-Based AMI Networks · IEEE/ACM Trans. Netw. 2016 |
Internet of things and sensor networks › cyber-physical systems
smart grid |
0.2 | 1 | 2016 | SMAC: A Soft MAC to Reduce Control Overhead and Latency in CDMA-Based AMI Networks · IEEE/ACM Trans. Netw. 2016 |
Cellular and mobile networks › mobile networks › mobile network architecture › cellular network architecture
cdma2000 |
0.1 | 1 | 2016 | SMAC: A Soft MAC to Reduce Control Overhead and Latency in CDMA-Based AMI Networks · IEEE/ACM Trans. Netw. 2016 |
Network management and operations › network control
control overhead reduction |
0.1 | 1 | 2016 | SMAC: A Soft MAC to Reduce Control Overhead and Latency in CDMA-Based AMI Networks · IEEE/ACM Trans. Netw. 2016 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.2markov chain analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Trade-offs in the Design of Blockchain of Finite-Lifetime Blocks for Edge-IoT ApplicationsabstractUnlike cryptocurrency transactions in bitcoin that are stored indefinitely, the data of certain applications like IoT have finite-lifetime. In this context, one of the recent research works proposed LiTiChain - a new architecture for Blockchain of finite-lifetime blocks with applications to Edge-IoT. The novelty of LiTiChain lies in ensuring the connectivity of the chain even after the expired blocks are deleted from the chain. To provide the same level of security as conventional blockchain, in LiTiChain, some blocks are stored longer than their lifetime, which incurs additional storage cost. This paper presents two new blockchain architectures i.e. p-LiTiChain and s-LiTiChain that are variants of LiTiChain. The proposed architectures offer a degree of freedom in the design of blockchain of finite-lifetime blocks in terms of a tradeoff between storage cost, security and computational cost. With extensive simulations and analysis, it is demonstrated that the proposed architectures have the potential to decrease the additional storage cost incurred by LiTiChain to zero and improve security at the expense of computational cost. Shravan Garlapati |
ICCCN | 1 |
| 2016 | SMAC: A Soft MAC to Reduce Control Overhead and Latency in CDMA-Based AMI NetworksabstractThe use of state-of-the-art 3G cellular CDMA technologies in a utility owned AMI network results in a large amount of control traffic relative to data traffic, increases the average packet delay and hence are not an appropriate choice for smart grid distribution applications. Like the CDG, we consider a utility owned cellular like CDMA network for smart grid distribution applications and classify the distribution smart grid data as scheduled data and random data. Also, we propose SMAC protocol, which changes its mode of operation based on the type of the data being collected to reduce the data collection latency and control overhead when compared to 3G cellular CDMA2000 MAC. The reduction in the data collection latency and control overhead aids in increasing the number of smart meters served by a base station within the periodic data collection interval, which further reduces the number of base stations needed by a utility or reduces the bandwidth needed to collect data from all the smart meters. The reduction in the number of base stations and/or the reduction in the data transmission bandwidth reduces the CAPital EXpenditure CAPEX and OPerational EXpenditure OPEX of the AMI network. The proposed SMAC protocol is analyzed using markov chain, analytical expressions for average throughput and average packet delay are derived, and simulation results are also provided to verify the analysis. Shravan Garlapati, P. Teja Kuruganti, R. Michael Buehrer, Jeffrey H. Reed |
IEEE/ACM Trans. Netw. | 1 |
| 2012 | PHY and MAC layer design of Hybrid Spread Spectrum based smart meter networkabstractThe selection of the appropriate communication technology for different smart grid applications has drawn a great attention in the recent past. In this paper, we propose a Hybrid Spread Spectrum (HSS) based Advanced smart Metering Infrastructure (AMI) that reduces the overhead and latency in data transfer when compared to the use of 3G/4G technologies for smart meter data collection. We present a preliminary PHY and MAC layer design of a HSS based AMI network and evaluate their performance using matlab and NS2 simulations. Shravan Garlapati, Haris Volos 0002, P. Teja Kuruganti, R. Michael Buehrer, Jeffrey H. Reed |
IPCCC | 1 |