Scalable VANET content routing using hierarchical bloom filters
In this paper, we discuss scalable content-oriented routing that enables storing, sharing, and searching data totally within the urban VANET. We introduce a scalable proactive content discovery scheme, hierarchical bloom-filter routing HBFR, to tackle ...
An adaptive multichannel protocol for large-scale machine-to-machine networks
With the emergence of Internet of Things IoT, trillions of devices will soon be interconnected and provide new services. The success of IoT relies on the scalability of underlying machine-to-machine communication networks. In this paper, we propose a ...
Simple solutions may still be best: on the selection of working channels in a channel-hopping cognitive network
Spectrum decision-that is, the selection of a channel for the next hop-is one of the most important factors that affect the performance of a channel-hopping cognitive network. In this paper, we compare the performance of a number of channel selection ...
A lookback scheduling framework for long-term quality of service over multiple cells
In current cellular networks, schedulers allocate wireless channel resources to users based on instantaneous channel gains and short-term moving averages of user rates and queue lengths. By using only such short-term information, schedulers ignore the ...
Multi-priority queuing for electric vehicles charging at public supply stations with price variation
As electric vehicles EVs become more popular, public charging stations for such vehicles will become common. Because the load introduced by such stations on the grid is high, the smart grid will need to balance the load among charging stations in an ...
On the inference and prediction of DDoS campaigns
This work proposes a distributed denial-of-service DDoS inference and forecasting model that aims at providing insights to organizations, security operators, and emergency response teams during and after a DDoS attack. Specifically, our work strives to ...
Normalized least mean square-based adaptive sparse filtering algorithms for estimating multiple-input multiple-output channels
This paper studies normalized least mean square-based adaptive sparse filtering algorithms for estimating multiple-input multiple-output MIMO channels. Although the MIMO channel is often modeled as sparse, traditional normalized least mean square-based ...
On the impact of D2D traffic offloading on energy efficiency in green LTE-A HetNets
In this paper, the interplay between cooperative device-to-device D2D communications and green cellular communications in the long term evolution LTE and LTE-advanced LTE-A cellular systems is investigated. An efficient approach for grouping mobile ...
Advanced quality of services with security integration in wireless sensor networks
In this paper, we focus on the coexistence between security and quality of services QoS guarantee in wireless sensor networks. The idea is to integrate the security services: authentication, integrity, confidentiality, and non-repudiation with QoS ...
