most citedA Tutorial on the Implementation of Ad-hoc On Demand Distance Vector (AODV) Protocol in Network Simulator (NS-2)

20 citations · 31 across the 6 of their papers we have counts for

collaborators

6 papers

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.NI20101 cited

A Tutorial on Broadcasting Packets over Multiple-Channels in a Multi-Inferface Network Setting in NS-2

Zeeshan Ali Khan, Mubashir Husain Rehmani

With the proliferation of cheaper electronic devices, wireless communication over multiple-channels in a multi-interface network is now possible. For instace, wireless sensor nodes…

cs.NI201020 cited

A Tutorial on the Implementation of Ad-hoc On Demand Distance Vector (AODV) Protocol in Network Simulator (NS-2)

Mubashir Husain Rehmani, Sidney Doria, Mustapha Reda Senouci

The Network Simulator (NS-2) is a most widely used network simulator. It has the capabilities to simulate a range of networks including wired and wireless networks. In this tutoria…

cs.NI20106 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.NI20104 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.