Sami S. Alwakeel

PRSA: A Path Redundancy Based Security Algorithm for Wireless Sensor Networks

In this paper, we propose a path redundancy based security algorithm (PRSA) to improve routing security in wireless sensor network. The algorithm uses alternative routing paths for each data transmission call to overcome the sensor network attack. To enhance network reliability, PRSA allows sensor node data to be sent on defined routing paths using various transmission modes including round robin, redundant and selective modes. PRSA performance is studied and analyzed via simulation, for a network that is comprised with one of typical sensor network attacks and with a variety of input parameters. Various performance measures were evaluated including: network delay, transmission cost, complexity, energy dissipation and throughput. The performance results proved that the algorithm improves significantly sensor network resistance to common sensor network attacks.

Performance Analysis of Multi-Hop Amplify-and-Forward Relaying Systems in Rayleigh Fading Channels with a Poisson Interference Field

In this paper, we analyze the performance of multi-hop transmission systems that employ amplify-and-forward relays over a Rayleigh fading environment in the presence of a Poisson field of interferers. The interference model considers the effect of spatial distribution of co-channel interferers in the vicinity of the relays and the destination node. Using a tight upper bound on the end-to-end signal-to-interference ratio, a closed-form expression for the system outage probability is derived. Moreover, a lower bound for the average symbol error rate of general modulations, the exact average bit error rate (BER) of binary modulations and the average channel capacity are presented in the form of single-fold integrals that can be reliably evaluated numerically, whereas closed-form results are obtained for a special case of the dual-hop relaying system. Finally, asymptotic expressions for the system outage probability and the end-to-end BER are derived which provide useful insights regarding the factors affecting the performance of the considered system. The novel expressions can be used to show the impact of interference model parameters such as the transmit power, path loss exponent, and spatial density of interferers on the performance of multi-hop wireless systems. Simulation results are further provided to demonstrate the accuracy of the analytical expressions.

Serial Amplify-and-Forward Relay Transmission Systems in Nakagami-

In this paper, the end-to-end performance of a wireless relay transmission system that employs amplify-and-forward (AF) relays and operates in an interference-limited Nakagami- m fading environment is studied. The wireless links from one relay node to another experience Nakagami- m fading, and the number of interferers per hop is Poisson distributed. The aggregate interference at each relay node is modeled as a shot-noise process whose distribution follows an α-stable process. For the considered system, analytical expressions for the moments of the end-to-end signal-to-interference ratio (SIR), the end-to-end outage probability (OP), the average bit-error probability (ABEP), and the average channel capacity are obtained. General asymptotic expressions for the end-to-end ABEP are also derived. The results provide useful insights regarding the factors affecting the performance of the considered system. Monte Carlo simulation results are further provided to demonstrate the validity of the proposed mathematical analysis.

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Demand Response (DR) technology makes it possible to have two-way communication between service providers and home appliances inside the customer premise. This state-of-art technology equipped with smart meters, load control devices (smart devices), smart thermostats, smart switches and home energy consoles. DR technology can help us to modernize our electricity system and provide customers with new information and options for managing their electricity use. Customers can reduce or shift their power usage during peak demand periods in response to timebased rates or other forms of financial incentives. Demand response solutions play a key role in several areas: pricing, emergency response, grid reliability, infrastructure planning and design, operations, and deferral. In previous studies Demand Load for smart power grid is a mostly centralized approach. The worth of this study is we are proposing DR as a fully distributed and hybrid approach. We are investigating performance of DR in context of fully centralize, Fully Distributed and Hybrid fashion.

Fading Channels With a Poisson Interference Field

One major obstacle impeding industrialization in developing countries is a severe shortage of trained personnel in technological and information fields. Saudi Arabia is no exception. In order to fulfill the countrys developmental objectives, the Kingdom of Saudi Arabia has endeavored to reorganize and improve its educational systems. One area of education that has undergone profound change and significant progress is computer education. Comprehensive Education Programs have been created and implemented in a new institution for computer education, the College of Computer and Information Sciences (CCIS). This paper discusses the program objectives, educational philosophy, the vigorous CCIS undergraduate curricula, and a brief summary of the college concrete accomplishments. It is believed that the CCIS programs innovative approach to curriculum development can serve as a structural model and example for programs in developing countries undergoing rapid computerization, and for universities and technical colleges with similar educational needs.

Performance analysis of Centralized, Distributed and Hybrid Demand Load Control architecture for Smart power Grid

Different message urgencies leads to different bandwidth treatments in dense VANETs. Safety messages have the utmost importance in VANETs, therefore, it must have the highest assurance of delivery. However, due to the limited bandwidth of dense VANETs, safety messages could be rejected. This research is intended to formulate a policy to achieve minimal blocking of safety messages while keeping non-safety-related messages such as comfort messages not heavily penalized. Through virtually partitioned VANETs bandwidth and by applying P-Persistent scheme to reduce message congestion, an improved performance of message dissemination in VANETs can be achieved.

Innovation in computer education curriculum for the computerization of Saudi Arabia: a model for developing countries

One of the key challenges for improvement of quality of services (QoS) in Heterogeneous wireless networks is the design of Vertical Handover (VHO) Management strategy. VHO is required to guide the decision for a mobile terminal (MT) to handoff between different types of networks. This is an essential task to cope with various multimedia services QoS settings. In this paper, we present a machine learning scheme based on Neural Network for calls vertical handover in heterogeneous networks. The Neural Network Based Handover Management Scheme (NNBHMS) of this paper aims toward achieving seamless connectivity and Always Best Connected (ABC) call status for group mobility over a set of heterogeneous networks. The proposed scheme evaluates and creates relationships between different decision criteria related to heterogeneous networks conditions, terminal capabilities, application requirements, and user preferences. Afterward, the estimates of each attribute are forwarded to neural network to select the optimal access network. The proposed scheme is applied for vertical handover Management in heterogeneous networks offering both real time services (voice over IP services), and data Services (packet data traffic). Through the implementation of neural networks based machine learning approach, the proposed research scheme allows solving the complexity of the handover decision process resulting from the multitude dimensions of the decision criteria and the dynamicity of many of its components. The performance results evaluated through simulation show that the use of the a neural network based machine learning scheme to carry out the Handover process can enhance the QoS perceived by both types of voice and data service while fulfilling to great extent the user preference.

A virtual P-Persistent bandwidth partitioning manager for VANET's broadcast channel

Autistic children often develop abnormal habits and in some cases they could be unsafe or even dangerous to themselves and their family members. Because of their limited speech ability, their inexperienced parents may underestimate their physical abilities compared to their intellectual level and may not realize that they could easily hurt themselves. Therefore, the need for an automatic alert system for autistic child parent assistance is great, and it will enhance the life experience for both the autistic child and the family. In this paper, we present a machine learning based electronic system for autism activity recognition using wireless sensor networks (WSNs). The system accurately detects autistic child gesture and motion. The system is named Autistic child Sensor and Assistant System (ACSA), and is comprised of three main components: the ACSA Wearable sensor device, the companion ACSA Parent Application and the machine learning algorithms developed for autistic movement event detection and processing. The paper describes the system concepts, its components and details of its architecture and operation. Individuals and families with Autism Spectrum Disorder children can utilize this system as alarming devices that assist them to protect their autistic child regardless of the environment. The proposed system is expected to enhance the life experience for all aides, the autistic child, the parents, and the autistic child whole family.

A Neural Network Based Handover Management Strategy for Heterogeneous Networks

In this paper, we investigate the performance of a wireless transmission system that employs amplify-and-forward (AF) relays and operates in an interference-limited environment. We consider a multi-hop network in which the co-channel interferers are scattered according to a spatial Poisson process and the desired and interfering signals at each relay and the destination experience Nakagami-m fading. Exact expressions for the average bit error probability and the average channel capacity of the considered system are obtained as single integrals that can be reliably evaluated numerically. In addition, the diversity and coding gains per hop are obtained. The novel expressions can be used to show the impact of system and interference model parameters such as the number of hops and the transmit power, path loss exponent, and spatial density of interferers, respectively, on the performance of multi-hop systems. Simulation results are further provided to demonstrate the accuracy of the analytical expressions.

A Machine Learning Based WSN System for Autism Activity Recognition

We propose and evaluate a real-time window-based local call admission control algorithm (RWBLAC) for achieving quality of service in IP networks. RWBLAC utilizes a real time traffic measurement and variation of window based techniques traffic policing for QoS admission decisions. This real time fashion based on actual arrival rate make this research distinct form all other using predefined threshold. We use simulation to evaluate the link utilization and adherence to service commitment that could be achieved by RWBLAC, and to compare the performance of its diverse implementation options.