Traffic sources measurement and analysis in UMTS
Proceedings of the 1st ACM workshop on High performance mobile opportunistic systems
Traffic shaping measurements and analyses in 3G network
Proceedings of the 2nd ACM workshop on High performance mobile opportunistic systems
Optimizing radio resource management in energy-efficient cognitive radio networks
Proceedings of the 2nd ACM workshop on High performance mobile opportunistic systems
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Many schemes have been studied in the recent past facing the trade-offs between wireless mobility, the capacity impact and the Energy Conservation (EC) onto overall performance. Available resources should be supported by the effectiveness of the storing on-demand scheme along considering the EC of the wireless device. In this work there is a consideration of the diversity properties of the wireless mobility taking into account at the same time the user-centered temporal capacity characteristics. Each node in the proposed scheme is assigned with a dissimilar sleep and wake time, based on traffic that is destined for each node. Different stream’s characteristics and promiscuous behavioral caching properties are considered using a state-based model for enabling the EC mechanism. The proposed scheme is being evaluated through real time implementation by using dynamically moving and statically located sensor nodes. Various performance metrics were considered and through the random walk of the sensor nodes and the different data traffic priority classifications the proposed scheme is thoroughly evaluated. Results have shown the scheme’s efficiency for enabling EC and provide a hands-on proof of the delay-capacity effects on the mobility of nodes and the EC aspects in terms of real time.