activity
20052023
most citedToward Reliable Contention-aware Data Dissemination in Multi-hop Cognitive Radio Ad Hoc Networks

6 citations · 18 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NI2023

Zen: LSTM-based generation of individual spatiotemporal cellular traffic with interactions

Anne Josiane Kouam, Aline Carneiro Viana, Alain Tchana

Domain-wide recognized by their high value in human presence and activity studies, cellular network datasets (i.e., Charging Data Records, named CdRs), however, present accessibili…

cs.CR2021★ 1 cited

SimBle: Generating privacy preserving real-world BLE traces with ground truth

Abhishek Kumar Mishra, Aline Carneiro Viana, Nadjib Achir

Bluetooth has become critical as many IoT devices are arriving in the market. Most of the current literature focusing on Bluetooth simulation concentrates on the network protocols'…

cs.NI2010

Decoupling data dissemination from the mobile sink's trajectory in wireless sensor networks: Current Research and Open Issues

Mubashir Husain Rehmani, Aline Carneiro Viana

In this report, firstly, we presents state of the art survey on Data Management and Data Dissemination techniques with Mobile Sink. Moreover we classify these techniques into two a…

cs.NI2010★ 6 cited

Toward Reliable Contention-aware Data Dissemination in Multi-hop Cognitive Radio Ad Hoc Networks

Mubashir Husain Rehmani, Aline Carneiro Viana, Hicham Khalife +1

This paper introduces a new channel selection strategy for reliable contentionaware data dissemination in multi-hop cognitive radio network. The key challenge here is to select cha…

cs.NI2010★ 4 cited

A Cognitive Radio Based Internet Access Framework for Disaster Response Network Deployment

Mubashir Husain Rehmani, Aline Carneiro Viana, Hicham Khalife +1

In this paper, we propose a cognitive radio based Internet access framework for disaster response network deployment in challenged environments. The proposed architectural framewor…

cs.NI2010

Adaptive and occupancy-based channel selection for unreliable cognitive radio networks

Mubashir Husain Rehmani, Aline Carneiro Viana, Hicham Khalife +1

In this paper, we propose an adaptive and occupancy-based channel selection for unreliable cognitive radio networks.