The inherent characteristics of the wireless channel, such as broadcast communication and high variability in channel quality, make it difficult to achieve high throughput in wireless mesh networks (WMNs). However, some innovative techniques like wireless inter-flow network coding and opportunistic routing leverage the broadcast nature of the wireless channel to improve the throughput. In addition, in order to cope with channel quality variation, the transmission rate can be adjusted using a rate adaptation algorithm. In this paper, we study how these fundamental techniques collaborate and how they can be combined into an integrated solution. We suggest Multi Rate Opportunistic Routing-aware Network Coding (MRORNC) as an integrated cross-layer approach that jointly determines the coded packet, potential next hops, and transmission rate using a novel metric. The simulation results demonstrate that the suggested approach can achieve higher throughput compared to the rateoblivious opportunistic routing-aware network coding solutions.
Αs technologies and communications develop, more sabotaging attacks occur including phishing attacks which jeopardize users' security and critical information like their passwords and credentials. Several solutions have been proposed for existing dangers. One of which is the use of one-time passwords. This issue has remained as a main challenge and requires more extensive research. In this research, we have focused on one-time password combinations and we also have proposed solutions based on behavioral patterns which lead to significant optimizations while tending the simplicity for users. Efficiency of the proposed method has been measured through defining scenarios, modeling and simulations based on a prevention rate index. In addition, complexity coefficient of the proposed method showing the probability of unpredictability of passwords for attackers has been calculated. Ultimately, a descriptive comparison has shown that the proposed method is superior to some of the existing methods.
In this letter, we propose a novel model and corresponding algorithms to address the optimal utility max-min fair link adaptation in Downlink Multi-User (DL-MU) feature of the emerging IEEE 802.11ac WLAN standard. Herein, we first propose a simple yet accurate model to formulate the max-min fair link adaptation problem. Furthermore, this model guarantees the minimum utility gain of each receiver according to its requirements. In the second step, we show that the optimal solution of the proposed model can be obtained in polynomial time, and then the solution algorithms are proposed and analyzed. The simulation results demonstrate the significant achievement of the proposed utility-aware link adaptation approach in terms of max-min fairness and utility gain compared to utility-oblivious schemes.Index Terms-IEEE 802.11ac, DL-MU, utility max-min fairness, link adaptation
Due to its efficient, flexible, and dynamic substructure in information technology and service quality parameters estimation, cloud computing has become one of the most important issues in computer world. Discovering cloud services has been posed as a fundamental issue in reaching out high efficiency. In order to do one’s own operations in cloud space, any user needs to request several various services either simultaneously or according to a working routine. These services can be presented by different cloud producers or different decision-making policies. Therefore, service management is one of the important and challenging issues in cloud computing. With the advent of semantic web and practical services accordingly in cloud computing space, access to different kinds of applications has become possible. Ontology is the core of semantic web and can be used to ease the process of discovering services. A new model based on ontology has been proposed in this paper. The results indicate that the proposed model has explored cloud services based on user search results in lesser time compared to other models.
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