Informatics Publishing Limited

R. Jothin ¹, Esther Annlin Kala James ¹, V. Sumathy ²

Affiliations
1 Department of Electronics and Communication Engineering.
2 Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore–641013.

Abstract

As an increasing number of embedded electronic components are added to vehicles in order to meet rising consumer demand have increased dramatically during the past two decades resulting from the development of various technologies. This trend is expected to continue as automobile manufacturers initiate further advances in safety, reliability and comfort. In this paper the protocols Local Inter connect Network (LIN), Controller Area Network (CAN) and FlexRay are integrated in master electronic control unit (MECU) gate way. It provides an efficient method of communication between the various speed and sensitivity of electronic components in the electronic control unit (ECU) nodes. In the next generation technology variety of mechanical, radar, video sensors, recognition of traffic sign to provide optimum of crash avoidance and crash detection. To increase the application in this technology for future advance safety a navigator with Global System for Mobile Communication(GSM) module is integrated to control the speed, horn sound and light intensity of the vehicles in the various traffic density areas using the short message Service (SMS) by Road Transport Mobile Network(RTMN).

Keywords

SMS, LIN, CAN, Flexray, GSM, Road Transport Mobile Network, QoS, Gateway

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M. Rajaram ¹, R. Jegan ², Thirumurgan Thirumurgan ², V. Sumathy ³

Affiliations
1 Park College of Engineering and Technology, Kaniyur, Coimbatore – 641659, Tamil Nadu, IN
2 Department of ECE, Park College of Engineering and Technology, Kaniyur, Coimbatore – 641659, Tamil Nadu, IN
3 Government College of Technology, Coimbatore – 641013, Tamil Nadu, IN

Abstract

Traditionally, real-time systems are built for avery small set of mission-critical applications like space crafts, avionics and other distributed control systems. The various steps in building such systems include, characterizing the workload, designing scheduling algorithms and performing schedulability analysis and Conventional teaching methodologies for real-time systems have primarily focused on these topics and the choice is completely justified for the targeted traditional real-time systems. However with the evolution of small scale real-time embedded systems like cell phones, PDAs, sensor motes and other portable control systems primarily driven by a Real-Time Operating System (RTOS), the conventional teaching methods fall short in several ways. This is because, building such real-time embedded systems poses certain different design and implementation challenges branching out of the severe resource constraints that these devices should operate under. In order to keep pace with these changing trends, we have enhanced our real-time systems course in two different ways. First, we have included the relevant topics like compiler-level and operating systems-level energy aware real-time scheduling algorithms and further developed corresponding assignments and projects to reinforce student learning in these topics. We present some of these details here. Secondly, we have developed a series of laboratory experiments based on commercial RTOSs which give students a rich hands-on experience in building real-time embedded systems We have tried two different RTOSs namely, RT-Linux and VxWorks in two consecutive years. In this paper, we present the similarities and differences between two the RTOS platforms and their impact on student learning.

Keywords

Real-Time Systems, Embedded Systems, Kernel Programming, RTLinux, VxWorks, and Scheduling.

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B. Radha ¹, V. Sumathy ²

Affiliations
1 Dept. of Computer Applications, Sri Ramakrishna Engineering College, Coimbatore, IN
2 Dept. of Electronics and Communication Engineering, Govt College of Technology, Coimbatore, IN

Abstract

Grid computing is a one that coordinates and shares computation, application, data storage, or network resources across dynamic and geographically dispersed organizations. Scheduling is one of the main critical design issues of grid computing. It becomes a challenge because the capability and availability of resources vary in a dynamic nature. The complexity of scheduling problem increases with the size of the grid and becomes difficult to solve effectively. To solve this issue we go for designing new optimal solutions. It mainly focuses on new heuristic techniques that provide an optimal or near optimal solution for larger computational grids. Ant Colony Optimization based scheduling algorithm and PSO the population based search algorithm is used .The PSO is mainly based on the simulation of the social behavior of bird flocking fish schooling approach. The proposed scheduler allocates an application to a host from a pool of available hosts and applications by selecting the best match. Based on the experimental results, we prove that the proposed PSO algorithm confidently demonstrates its practicability and competitiveness with ACO algorithms.

Keywords

ACO, Grid Computing, Job Scheduling, PSO.

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