S
Souvik Basu
Researcher at Heritage Institute of Technology
Publications - 23
Citations - 194
Souvik Basu is an academic researcher from Heritage Institute of Technology. The author has contributed to research in topics: Routing protocol & Mobility model. The author has an hindex of 8, co-authored 21 publications receiving 131 citations.
Papers
More filters
Proceedings ArticleDOI
Best-effort delivery of emergency messages in post-disaster scenario with content-based filtering and Priority-enhanced PRoPHET over DTN
TL;DR: The objective is to ensure best-effort delivery of emergency messages using a two-step approach, segregation of high priority messages through natural language processing based filtering and dissemination of filtered messages over DTN using a Priority-enhanced PRoPHET routing protocol which is developed by adapting the popular PRo PHET routing Protocol.
Journal ArticleDOI
A Post-Disaster Demand Forecasting System Using Principal Component Regression Analysis and Case-Based Reasoning Over Smartphone-Based DTN
TL;DR: This paper derives a principal component regression model to forecast demand for emergency resources based on situational parameters at the shelters, and proposes an opportunistic demand sharing scheme for gathering and disseminating resource demands to the control station using a smartphone-based delay-tolerant network (DTN).
Journal ArticleDOI
A Utility Driven Post Disaster Emergency Resource Allocation System Using DTN
TL;DR: A utility driven optimal resource allocation model which minimizes overall resource deficit and total resource deployment time and an opportunistic knowledge sharing scheme for gathering and disseminating resource needs to the control station using a smartphone-based delay tolerant network are proposed.
Proceedings ArticleDOI
A blockchain based incentive scheme for post disaster opportunistic communication over DTN
TL;DR: A Blockchain based incentive scheme for DTN based post disaster communication network that uses Bitcoin to incentivize nodes for cooperation is proposed that uses a novel reward strategy to bring rationality in the incentivizing process.
Proceedings ArticleDOI
A Global Reputation Estimation and Analysis Technique for detection of malicious nodes in a Post-Disaster Communication environment
Souvik Basu,Siuli Roy +1 more
TL;DR: A scheme called GREAT (Global Reputation Estimation and Analysis Technique) is proposed that uses statistical estimation technique to estimate the global reputation of a node as a forwarder and as a rater from sample reputation values collected from a sample set of nodes in the network.