In a previous paper a novel forwarding scheme for wireless sensor networks has been proposed by the same authors [3]. The authors showed that the proposed technique, mainly based on the Chinese Remainder Theorem (CRT), outperformed more traditional approaches in terms of both energy efficiency and fair distribution of energy consumption. Furthermore, only few changes to the commonly used forwarding schemes are needed for its implementation. However, although the advantages of the method were clear, all reported results were only empirical and obtained through simulations on ideal sensor networks. In this paper some analytical results regarding the proposed method are introduced and it is shown how to extend the proposed forwarding method on a more realistic wireless network where unreliable erasure channels are considered. Furthermore, a trade-off between reliability and energy saving is investigated.

Keywords— Security, Wireless, Conservation, Energy, Sensor networks.

This paper introduces a peak shaving energy management system that reduces peak demand of the power usage, shifts usage to off-peak hours and lowers total energy consumption. Constraints such as due time of a process, limit of electrical energy consumption and use of preferable resources are taken into account. The proposed system takes into consideration the rated power and the usage time of the house applications and adapt them to the available power with the help of sensor networks using smart monitoring and controlling algorithms. The proposed system enables the use of the renewable energy and uses Yahoo weather forecast from the Internet to make tuning for the controlling algorithms. The used sensor network includes motion detection sensor to turn off the unnecessary devices when there is no need for it. It is proved that implementation of the proposed strategy would improve energy management by proper choice and timing of resource usage in smart houses.   

Keywords – Smart House, Energy Shaving, Energy Management, Energy Scheduling, Sensor Network, House Automation.

In this paper a complete control system is proposed to control the four Degree of Freedom (DOF) Feedback Instruments IVAX SCARA robotic manipulator using Xilinx Field Programmable Gate Array (FPGA) Spartan 3AN development kit. Proportional, Integral and Derivative (PID) controllers are used to control each joint of the manipulator position. Particle Swarm Optimization algorithm (PSO) is used to tune the PID controllers' parameters. Trajectory is obtained from sequence of set point uploaded to the FPGA from a user interface. PID controllers, PSO algorithm, Inverse kinematics calculations processing are implemented on the FPGA. The system was treated as multiple input multiple output system (MIMO) where each joint works independently from the others. It was clearly noticed that PSO has several attractive features that make it an excellent candidate for the tuning of PID controllers, like fast convergence and simple computation.

Keywords - PID, PSO, FPGA, IVAX SCARA, Robotic manipulator.

In this paper Two types of controllers are designed and implemented, they are PID controller and fuzzy like PD controller for IVAX Selective Compliance Assembly Robotic Arm (SCARA) Robot (4 DOF).The controllers are designed to reach the joints of IVAX SCARA Robot to desired position with specific orientation. Each joint of the robot is treated as a Single Input Single Output (SISO) system. The interface card is design and implemented to connect the IVAX SCARA Robot with the PC computer via multi function card (PCI-1711U), which is supported by Simulink/Real Time Window Target (RTWT) and it will be used for the controller creation and solution. The system programs are built with Simulink/ Real Time Window Target (RTWT) using Matlab (2011a).
Keywords-Fuzzy Logic Controller, SCARA Robot Arm, Real Time Window Target.