N
Nirwan Ansari
Researcher at New Jersey Institute of Technology
Publications - 743
Citations - 25453
Nirwan Ansari is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Quality of service & Network packet. The author has an hindex of 71, co-authored 708 publications receiving 21488 citations. Previous affiliations of Nirwan Ansari include Hebei University of Engineering & Purdue University.
Papers
More filters
Proceedings ArticleDOI
Adaptive map configuration and dynamic routing to optimize the performance of a satellite communication network
S. Balasekar,Nirwan Ansari +1 more
TL;DR: A mesh-connected, circuit-switched satellite communication network is shown to perform better by adaptively reconfiguring the network by using simulated annealing to suit the current traffic conditions.
Proceedings ArticleDOI
Anomaly detection and traffic shaping under self-similar aggregated traffic in optical switched networks
Wei Yan,E. Hou,Nirwan Ansari +2 more
TL;DR: This paper proposes an approach, which can capture the traffic anomalies and decrease the degree of long range dependence at the conjunction of the optical packet switching backbone network, and applies the compensation bursty parameter for smoothing the deviation error caused by burstiness difference existing in the traffic data sets.
Journal ArticleDOI
Network Traffic Prediction Using Least Mean Kurtosis
TL;DR: Least Mean Kurtosis (LMK), which uses the negated kurtosis of the error signal as the cost function, is proposed to predict the self similar traffic.
Proceedings ArticleDOI
A Two-Tier Edge Computing Based Model for Advanced Traffic Detection
Abbas Kiani,Guanxiong Liu,Hang Shi,Abdallah Khreishah,Nirwan Ansari,Jo Young Lee,Chengjun Liu +6 more
TL;DR: This paper develops a traffic detection algorithm with two configurations; one designed based on the cloudlets' computing capability, and the other one with high accuracy to be executed at the TMC, and shows the traffic detection accuracy can be maximized by switching between the video processing at the edge and the cloud.
Journal ArticleDOI
A Novel Multichannel Streaming Scheme to Reduce Channel Switching Delay in Application Layer Multicast
TL;DR: In this article, the authors proposed a multichannel streaming scheme to reduce channel switching delay in application layer multicast (ALM) based on network-aware hierarchical arrangement graph, which constructs node-disjoint multicast trees by utilizing the arrangement graph theory to achieve high robustness on node departures.