Rapid advances in technology and shifting tastes among motorists have reworked the contemporary automobile production sector. Driving is now much safer and more convenient than ever before thanks to a plethora of new technology and apps. Millions of people are hurt every year despite the fact that automobiles are networked and have several sensors and radars for collision avoidance. Each year, many of them are injured in car accidents and need emergency care, and sadly, the fatality rate is growing. Vehicle and pedestrian collisions are still a serious problem, making it imperative to advance methods that prevent them. This paper refines our previous efficient VANET-based pedestrian safety system based on two-way communication between smart cars and the cell phones of vulnerable road users. We implemented the scheme using C and NS3 to simulate different traffic scenarios. Our objective is to measure the additional overhead to protect vulnerable road users. We prove that our proposed scheme adds just a little amount of additional overhead and successfully satisfies the stringent criteria of safety applications.

The work on perfecting the rapid proliferation of wireless technologies resulted in the development of wireless modeling standards, protocols, and control of wireless manipulators. Several mobile communication technology applications in different fields are dramatically revolutionized to deliver more value at less cost. Multiple-access Edge Computing (MEC) offers excellent advantages for Beyond 5G (B5G) and Sixth-Generation (6G) networks, reducing latency and bandwidth usage while increasing the capability of the edge to deliver multiple services to end users in real time. We propose a Cluster-based Multi-User Multi-Server (CMUMS) caching algorithm to optimize the MEC content caching mechanism and control the distribution of high-popular tasks. As part of our work, we address the problem of integer optimization of the content that will be cached and the list of hosting servers. Therefore, a higher direct hit rate will be achieved, a lower indirect hit rate will be achieved, and the overall time delay will be reduced. As a result of the implementation of this system model, maximum utilization of resources and development of a completely new level of services and innovative approaches will be possible.

The growing demand and wide deployment of cost effective wireless communication networks, and the challenges related to its technical design and operations have necessitated the work on the more efficient use of the very limited radio frequency spectrum, limited energy resources and reduction of the end-to-end delay as an integral part of the next generation smart wireless networks. In this work we explore three different Cognitive Radio Wireless Sensor Networks (CRWSNs) cluster structures; modified single-hop structure, multi-hop cluster structure and hybrid cluster structure. We study the effect of the three structures in multiple setups in regards to varying the selected area. The evaluation results of the suggested three structures are compared to the single-hop cluster. Extensive simulation results carried out using MATLAB package showed that the end-to-end delay is minimum for the hybrid algorithm on the expense of a slight increase in energy consumption compared to the single-hop and the multi-hop cluster structures. On the other hand, the multi-hop cluster structure is more energy consuming than the single-hop, but it achieves a wider coverage area.

Mobile Edge Computing (MEC) technology philosophy inspires the next generation mobile networks to provide cloud computing capabilities in addition to a diverse range of Information Technology (IT) services with ultra-low latency and higher bandwidth at the edge. One of the most common challenges of 5G-MEC is the management and orchestration across all networks and infrastructure resources as well as end-to-end quality of experience. The decentralized architecture of MEC with independent and non-collaborative servers results in the situation of having underutilized servers with wasted energy. Moreover, the consequences of having highly utilized servers with highly consumed energy are not only the incapability to accommodate all the load of the computing jobs and the dramatic increase in the total OPEX cost, but it also creates some environmental problems. Orchestrating servers’ workload and control offloading the computation jobs is one of the technical advantages of MEC since it satisfies the increasing requirements of modern mobile applications while optimizing the energy consumption and cost. In this work, we consider cluster-based energy-aware offloading framework. The proposed work consists of dual-tier domain divided into clusters of Edge Servers ESs.We have presented the results of our simulation as a proof of our concept that the formulated adaptive strategy to minimize the optimization problem calculation per cluster reduces the energy consumption and enhances the quality of experience while achieving the conservation of the related computing and storage resources cost.

Now a days, have a great dependence on computer and network and the security of computer related to the whole world and everybody. Cryptography is the art and science of achieving security by encoding message to make them non readable, to secure data information transmits over the network, In this paper introduced modified RSA approach based on multi keys and Chinese remainder theorem (CRT), which RSA algorithm is asymmetric key encryption technique. The objective of this Technique is to provide secure transmission of data between any networks. Which is the Network security is an activity which is designed to provide the usage protection and integrity of the Network and data. So that only the user allowed can read and process it, the objective of this paper Enhancement the performance of RSA and increase the security. In proposed model RSA will be implemented using java.

The treatment of HCV infection has evolved from interferon-based treatment approaches to direct-acting antivirals (DAAs). Despite the overall success, antiviral treatment of certain groups of patients remains challenging. Even if severe side effects are rare, they are not completely absent especially in patients with advanced liver disease. So, we aimed to evaluate hematological effects of antiviral drugs in chronic HCV patients. We randomly assigned 50 patients to treatment with daclatasvir/sofosbuvir for 12 weeks. Laboratory data were collected 3 and 6 months after end of treatment and compared to those before treatment. Our study showed SVR of 100% (P-value < 0.001). there was statistically significant increase of mean corpuscular volume (MCV) and hematocrit (HCT) (P-value = 0.035 and 0.048 respectively) 3 and 6 months after treatment. Hemoglobin was increased 3 months after treatment however changes in hemoglobin wasn’t statistically significant (P-value = 0.719). There was statistically improvement of hemoglobin 6 months after treatment (P-value = 0.019). There was statistically significant increase of platelet count 6 months after treatment (P-value = 0.038). Our study showed statistically significant improvement of total bilirubin (P-value = 0.001), ALT (P-value = 0.012), AST (P-value = 0.001), AFP (P-value = 0.002) 6 months after treatment. Results support the safety of sofosbuvir-daclatasvir regimen among Egyptians and suggest a significant role of those drug regimens in the treatment of HCV with least adverse events.