This article describes one of many possible paradigms for future wireless applications. The spectrum in which Wi-Fi operates these days is overcrowded and currently applied rules for Wi-Fi operation are not up-to-date. By adopting a new set of rules for Wi-Fi, it is possible to eliminate some of the currently defined constraints such as Equivalent…
Omnet++ Simulator
Dynamic Heterogeneous Learning Games for Opportunistic Access in LTE-Based Macro/Femtocell Deployments
Interference is one of the most limiting factors when trying to achieve high spectral efficiency in the deployment of heterogeneous networks (HNs). In this paper, the HN is modeled as a layer of closed-access LTE femtocells (FCs) overlaid upon an LTE radio access network. Within the context of dynamic learning games, this work proposes a novel heterogeneous multiobjective fully distributed…
Unified approach for performance analysis of Cognitive Radio Spectrum Sensing over correlated multipath fading channels
In this work, we analyse the performance of Cognitive Radio Spectrum Sensing (CRSS) systems with multiple receiving antennas considering the effect of correlation among fading branches. Exact closed-form expressions for the average detection probabilities (P̅D) are derived employing Probability Density Functions (PDF) approach for n.i.i.d.-L number of diversity branches over Nakagami-m fading channels with Maximal Ratio Combining (MRC)…
Implementing Packet Transfer in Wireless Networks Using PyGame
Cloud environment on wireless networks is a combination of cloud and mobile technologies. The goal is to support mobile applications more efficient way to utilize bandwidth, energy consumption, hardware utilization, and cost. Cloud is a virtualization concept (borrowed from the virtual machine environment introduced in 1970’s) in wireless communications to utilize the resources efficiently and provide the…
Sensor Selection and Optimal Energy Detection Threshold for Efficient Cooperative Spectrum Sensing
In this paper, an energy-efficient scheme is proposed for cooperative spectrum sensing in cognitivesensor networks. In our scheme, we introduce a technique to select the sensing nodes and to set energy detection threshold so that energy saving can be accomplished in the nodes. Our objective is to minimize the energy consumed in distributed sensing subject to constraints…
Virtual resource allocation for wireless virtualization networks using market equilibrium theory
This paper proposes a virtual resource (VR) allocation scheme for OFDMA based wireless virtualization networks (WVNs). The scheme considers the time-variant wireless channel quality from the technical perspective, as well as the network benefits for WVN elements, e.g., subscriber user equipments (SUEs), mobile network operators (MNOs) and wireless service providers (WSPs), from the economic perspective. Regarding the available VR for a…
Predictive Data Delivery to Mobile Users through Mobility Learning in Wireless Sensor Networks
We consider applications, such as indoor navigation, evacuation, or targeted advertising, where mobile users equipped with a smart-phone class device require access to sensor network data measured in their proximity. Specifically, we focus on efficient communication protocols between static sensors and users with changing location. Our main contribution is to predict a set of possible future paths…
Ant Colony Optimization-Based Adaptive Network-on-Chip Routing Framework Using Network Information Region
The network-on-chip (NoC) system can provide more scalable and flexible on-chip interconnection compared with system bus. The performance of on-chip adaptive routing algorithms greatly relies on the adopted network information. To the best our knowledge, previous routing algorithms utilize either spatial or temporal network information to improve performance. However, few works have established a framework on analyzing the network information nor showed…
Connection Discovery Using Big Data of User-Shared Images in Social Media
Billions of user-shared images are generated by individuals in many social networks today, and this particular form of user data is widely accessible to others due to the nature of online social sharing. When user social graphs are only accessible to exclusive parties, these user-shared images are proved to be an easier and effective alternative to discover…
Hand gesture recognition for automatic tap system
This paper presents a technique for real time human hand gesture recognition system for automatic tap operation. Hand gesture recognition based machines have been widely developed in recent years. Most of the techniques use skin color models due to its robustness and simplicity. In this work there are two major steps for achieving this goal:…