Fahad Ghalib Abdulkadhim Abdulkadhim

Smart cities and autonomous vehicles have been emerging to be predominant and key players in today's cutting-edge technology. Their emergence has been rapidly escalated with the advancements of concepts of Internet of Things (IoTs). IoTs are characterized by nodes and agents which help in effective collection of vital information, relaying the information to adjacent nodes to the destination thus incorporating smartness into existing systems. Localization of these nodes and agents is a challenging issue especially in the applications such smart vehicles, autonomous vehicles etc. which are continuously in the mobile state. Continuous monitoring of their position and coordinates dictates the overall efficiency and precision of the IoT based system. A cooperative localization scheme for determination of these coordinates is proposed based on the Factor Graph-based Fisher Information Matrix theory. The Fisher Information Matrix (FIM) derived for the proposed model is utilized in the Bayesian Paradigm to compute the default prior or the relative density of nodes as a weight function. Finally, the Crammer Rao Lower Bound (CRLB) model is used to compute best set of neighboring nodes which help in triangulating the position of the target node. The proposed work has been tested for its efficiency against benchmark methods to validate the superiority of proposed work.

Vehicular ad hoc networks (VANET) are an emergent technology with a promising future. VANETs are quite different from mobile ad hoc networks (MANETs) in terms of characteristics, challenges, system architecture, and application. One of the significant challenges of the VANET is the security from two essential points of view, the prediction and prevention attackers. In this article, we proposed an operating system that combined both software-defined network (SDN) and self-organizing map (SOM) for the 5G-based VANET system. The proposed system will be a new combination of the SDN- and a self-organizing map (SOM)-based network solution to enhance security in the two dimensions, detecting and preventing attacks. This article analysis the vulnerability of the network performance with taken into account the distributed denial of service (DDoS) attacks. Then, the security of the proposed system has been analyzed and checked with existing of the DDoS. The simulation results presented in this article show that, under general conditions of networks, the proposed system can enhance the networks performance compared to the existing work.

The vehicular ad hoc network, combined with the distribution of roadside units (RSUs), play a significant role in reducing accidents and traffic jams by sending warning and emergency messages to drivers in real-time. However, communication is not always available owing to the lack of RSUs, reliability of data access and control, to avoid such problems we have proposed a new strategy for the deployment of least possible number of RSUs by developing a support protocol in case of loss of communication that relies on smartphones. The simulation results show that the proposed distribution method clearly reduces the number of RSUs required (compared to existing methods), and contributes towards increased coverage, reduced costs, and less missing data.

Smart mobile pharmacy has become a necessary requirement in improving the quality of healthy life in the last five years. Determining the type of medication and calculating the dose for each patient according to the patient's condition, monitoring the patient at the post and how to take the doses on time have a great effect on improving the patient's condition as soon as possible.In this paper, a system of monitoring, monitoring, and guidance based on potency management have been designed to contain a cloud data storage platform and its implementation to solve the above problem.The system is achieved by connecting each item (Medicine bottle) to a device (RFID) to verify that the patient has arrived in the bottle the correct medicine and is equipped with suppression of the treatment of the drug contains the sensors of weight to be sent all information to the control unit to be over the Internet through the routing portal.All data is stored in the first two data folders, which are static and the second is mobile. Synchronization between the two stations is performed to update the information and will be executed on a server that uses an MQTT protocol to register and integrate messages on the platform. The results of the experiment show the speed of guidance and reduce cost and reduce energy.

Abstract—The vehicular ad hoc network (VANET), combined with the distribution of roadside units (RSUs), play a significant role in reducing accidents and traffic jams by sending warning and emergency messages to drivers in real-time. However, communication is not always available owing to the lack of RSUs. Therefore, in this paper, we have proposed a new strategy for the deployment of the least possible number of RSUs by developing a support protocol in case of loss of communication that relies on smartphones until the connection returns. The simulation results show that the proposed distribution method clearly reduces the number of RSUs required (compared to existing methods), and contributes towards increased coverage, reduced costs, and less missing data.

Abstract:In urban-traffic scenarios, massive mobile terminals can provide more comprehensive and accurate environmental sensing data with various built-in sensors. Humans can also collect environmental information as task executors. Therefore, facing different sensing requirements from environmental monitoring, intelligent transportation, urban management, and other fields, if we make good use of the sensing abilities of mobile terminals and humans, we can provide more supporting data for them. This paper proposes a multitasking-oriented participant-recruitment algorithm for vehicular crowd sensing based on the Combine-S algorithm that could merge-common sensing requirements in the time and space dimensions to solve the problem of overlapping requirements among multiple tasks. Combine-S could also be integrated with a greedy recruitment algorithm to improve the sensing effect and reduce sensing costs. We used the OMNet++ simulators that are used for simulating urban transportation and IoTKeywords-Genetic Algorithm, NSL-KDD, Intrusion Detection system, Fast Learning Network.