Wireless Networks and Security: Issues, Challenges and Research Trends

First of all, we would like to express our solemn gratitude to the “Almighty Allah” for giving us time and keeping us fit for work to timely complete this arduous project. Thanks to the authors from different countries who have contributed to the book, also thanks to those authors whose manuscripts we have not been able to include due to the rigorous review-based selection process. The final outcome has come out with total 14 chapters in total ranging various issues on wireless network security

Impacts of Da Afghanistan Bank’s Monetary Policy on Inflation and Exchange Rate

The Afghanistan Bank monetary policy is primarily used to maintain the stability and value of the Afghani. The Afghanistan Bank aims to remove unnecessary Afghanis from circulation through currency auction. On the one hand it results the amount of money in circulation (Afghani) is controlled to keep the price level stability, which is the main function of the Afghanistan Bank, and on the other hand, it indirectly prevents the depreciation of the Afghani against the dollar. Every year, the Afghanistan Bank sell a large amount of USD, but sometimes purchase take place. The Afghanistan Bank has been very successful in its monetary policy in achieving monetary stability and price stability. For example, in case of inflation we have seen that with an increase of one percent in the currency auction, inflation increases by 0.034 percent, in the exchange rate, increase of one percent in the amount of the currency auction, the value of Afghanis increases by 0.002 percent

Game Theoretic Solution for Power Management in IoT-Based Wireless Sensor Networks

[EN] Internet of things (IoT) is a very important research area, having many applications such as smart cities, intelligent transportation system, tracing, and smart homes. The underlying technology for IoT are wireless sensor networks (WSN). The selection of cluster head (CH) is significant as a part of the WSN's optimization in the context of energy consumption. In WSNs, the nodes operate on a very limited energy source, therefore, the routing protocols designed must meet the optimal utilization of energy consumption in such networks. Evolutionary games can be designed to meet this aspect by providing an adequately efficient CH selection mechanism. In such types of mechanisms, the network nodes are considered intelligent and independent to select their own strategies. However, the existing mechanisms do not consider a combination of many possible parameters associated with the smart nodes in WSNs, such as remaining energy, selfishness, hop-level, density, and degree of connectivity. In our work, we designed an evolutionary game-based approach for CH selection, combined with some vital parameters associated with sensor nodes and the entire networks. The nodes are assumed to be smart, therefore, the aspect of being selfish is also addressed in this work. The simulation results indicate that our work performs much better than typical evolutionary game-based approachesThe authors acknowledge the support of the Hankuk University of Foreign Studies Research Fund 2019 for this work.Sohail, M.; Khan, S.; Ahmad, R.; Singh, D.; Lloret, J. (2019). Game Theoretic Solution for Power Management in IoT-Based Wireless Sensor Networks. Sensors. 19(18):1-20. https://doi.org/10.3390/s19183835120191

New furocarbazole alkaloids from Lonicera quinquelocularis

Two new furocarbazole alkaloids, 3-formyl-6,7-dimethoxy-furo[1,2]carbazole (1) and methyl-6,7-dimethoxy-furo[1,2]carbazole-3-carboxylate (2), along with two known carbazole alkaloids, 3-formyl-2-hydroxy-7-methoxycarbazole (3) and methyl 2,7-dimethoxycarbazole-3-carboxylate (4) were isolated from the ethyl acetate soluble fraction of Lonicera quinquelocularis. Their structures were established on the basis of spectroscopic analysis

QoS Based Cooperative Communications and Security Mechanisms for Ad Hoc Sensor Networks

Khan, S.; Lloret, J.; Song, H.; Du, Q. (2017). QoS Based Cooperative Communications and Security Mechanisms for Ad Hoc Sensor Networks. Journal of Sensors. 1-2. https://doi.org/10.1155/2017/9768421S1

Real-time Processor-in-Loop investigation of a modified non-linear state observer using sliding modes for speed sensorless induction motor drive in electric vehicles

Tracking performance and stability play a major role in observer design for speed estimation purpose in motor drives used in vehicles. It is all the more prevalent at lower speed ranges. There was a need to have a tradeoff between these parameters ensuring the speed bandwidth remains as wide as possible. This work demonstrates an improved static and dynamic performance of a sliding mode state observer used for speed sensorless 3 phase induction motor drive employed in electric vehicles (EVs). The estimated torque is treated as a model disturbance and integrated into the state observer while the error is constrained in the sliding hyperplane. Two state observers with different disturbance handling mechanisms have been designed. Depending on, how they reject disturbances, based on their structure, their performance is studied and analyzed with respect to speed bandwidth, tracking and disturbance handling capability. The proposed observer with superior disturbance handling capabilities is able to provide a wider speed range, which is a main issue in EV. Here, a new dimension of model based design strategy is employed namely the Processor-in-Loop. The concept is validated in a real-time model based design test bench powered by RT-lab. The plant and the controller are built in a Simulink environment and made compatible with real-time blocksets and the system is executed in real-time targets OP4500/OP5600 (Opal-RT). Additionally, the Processor-in-Loop hardware verification is performed by using two adapters, which are used to loop-back analog and digital input and outputs. It is done to include a real-world signal routing between the plant and the controller thereby, ensuring a real-time interaction between the plant and the controller. Results validated portray better disturbance handling, steady state and a dynamic tracking profile, higher speed bandwidth and lesser torque pulsations compared to the conventional observer

Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks

The integration of Ambient Backscatter Communication (AmBC) with Non-Orthogonal Multiple Access (NOMA) is expected to support connectivity of low-powered Internet-of-Vehicles (IoVs) in the upcoming Sixth-Generation (6G) transportation systems. This paper proposes an energy-efficient resource allocation framework for the AmBC-enabled NOMA IoV network under imperfect Successive Interference Cancellation (SIC) decoding. In particular, multiple Road-Side Units (RSUs) transmit superimposed signals to their associated IoVs utilizing downlink NOMA transmission. Meanwhile, the Backscatter Tags (BackTags) also transmit data symbols towards nearby IoVs by reflecting the superimposed signals of RSUs. Thus, the objective is to maximize the total energy efficiency of the NOMA IoV network subject to the minimum data rate of all IoVs. A joint problem that simultaneously optimizes the total power budget of each RSU, power allocation coefficient of IoVs and reflection power of BackTags under imperfect SIC decoding is formulated. A Dinkelbach approach is first adopted to transform the optimization problem and then the transformed problem is decoupled into two subproblems for optimal transmit power at RSUs and efficient reflection power at BackTags, respectively. To solve the problems efficiently, dual theory and Karush-Kuhn-Tucker conditions are exploited, where the Lagrangian dual variables are iteratively calculated using the subgradient method. To check the performance of the proposed framework, a benchmark optimization without AmBC is also provided. Numerical results demonstrate the superiority of the proposed AmBC-enabled NOMA IoV framework over the benchmark conventional IoV framework