المنشورات و المؤلفات
Over the last decade, mobile devices have become popular among people, and their number is ever growing because of the computing functionality they offer beyond primary voice communication. However, mobile devices are unable to accommodate most of...
The most significant challenge for next wireless generation is to work opportunistically on the spectrum without a fixed spectrum allocation. Cognitive Radio (CR) is the candidate technology to utilize spectrum white space, which requires the CR to...
Mobile devices are constrained by the limited capacities of their small batteries. However, profiling the energy consumed in the task execution is crucial to help the developers to build energy efficient applications. Therefore, the major challenge...
Task offloading from smartphones to the cloud is a promising strategy to enhance the computing capability of smartphones and prolong their battery life. However, task offloading introduces a communication cost for those devices. Therefore, the...
In this paper, we propose a practical decision engine to offload tasks from mobile devices to the cloud to realize the concept of Energy-as-a-Service. We implemented the decision engine on an Android smartphone and an Amazon ES2 and S3 clouds to...
In spite of the dramatic growth in the number of smartphones in recent years, the challenge of limited energy capacity of these devices has not been solved satisfactorily. However, in the era of cloud computing, the limitation on energy capacity can...
In spite of the dramatic growth in the number of smartphones in the recent years, the energy capacity challenge for these devices has not been solved satisfactorily. Moreover, the global demand for green Information and Communication Technology (ICT...
A Cognitive Radio (CR) network seeks to access and utilize the unused license spectrum portions. These portions have dynamic behavior that introduces challenge for the CR user to allocate and rendezvous on the same portion. In CR Ad-hoc Network (...