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Samrat Ganguly
Researcher at Princeton University
Publications - 74
Citations - 2994
Samrat Ganguly is an academic researcher from Princeton University. The author has contributed to research in topics: Wireless network & Wireless mesh network. The author has an hindex of 29, co-authored 74 publications receiving 2970 citations. Previous affiliations of Samrat Ganguly include Rutgers University & NEC.
Papers
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Proceedings ArticleDOI
Interference-aware IEEE 802.16 WiMax mesh networks
TL;DR: This work adopts here an interference-aware cross-layer design to increase the throughput of the wireless mesh network and creates a tree-based routing framework, which along with scheduling is interference aware and results in a much higher spectral efficiency.
Proceedings ArticleDOI
Using Channel Hopping to Increase 802.11 Resilience to Jamming Attacks
TL;DR: The mathematical analysis allows us to extrapolate the throughput that can be maintained when the constraint on the number of orthogonal channels used for both legitimate communication and for jamming is relaxed.
Proceedings ArticleDOI
Distributed channel management in uncoordinated wireless environments
TL;DR: This is the first work that brings into focus the fairness properties of channel hopping techniques and it is hoped that the insights from this research will be applied to other domains where a fair division of a system's resources is an important consideration.
Journal ArticleDOI
Performance Optimizations for Deploying VoIP Services in Mesh Networks
Samrat Ganguly,Vishnu Navda,Kyungtae Kim,Anand Kashyap,Dragos Niculescu,Rauf Izmailov,Sangjin Hong,Samir R. Das +7 more
TL;DR: This work presents and evaluates practical optimizing techniques that can enhance the network capacity, maintain the VoIP quality and handle user mobility efficiently and finds that packet aggregation along with header compression can increase the number of supported VoIP calls in a multihop network by 2-3 times.
Proceedings ArticleDOI
An Economic Framework for Spectrum Allocation and Service Pricing with Competitive Wireless Service Providers
TL;DR: This work proposes a dynamic pricing strategy based on game theory to capture the conflict of interest between WSPs and end users, and demonstrates how pricing can be used as an effective tool for providing incentives to the W SPs to upgrade their network resources and offer better services.