Volume 3 Issue 1
Authors: Salem Hasnaoui; Houda Jaouani; Rim Bouhouch; Amel Ben Ncira
Abstract: FlexRay is a new communication system that offers reliable and real-time capable high-speed data transmission between electrical and mechatronic components to map current and future innovative functions into distributed systems within automotive applications. In the same context, the real-time middleware Data Distribution Service (DDS) is an appropriate alternative for the standard vehicular middleware considering that it handles Quality of Service (QoS) parameters. An interesting innovation would be the use of the DDS middleware on top of FlexRay networks formed by FlexRay cards to guarantee the arrival of the right data on the right time. In this paper, we will use as application an extended SAE(Society of Automotive Engineers) benchmark for the FlexRay network to identify the DDS DataReaders and DataWriters, and calculate the response time, based on the full scheduling model, and introduce it into the DDS QoS to further prove that the QoS of SAE benchmark are insured.
Keywords: DDS; FlexRay; QoS; Scheduling; Response time
Authors: Jerzy Swiatek; Jaroslaw Drapala; Krzysztof Brzostowski
Abstract: Mathematical model delivered both from knowledge of a system and from experimental data may provide additional information about the system under consideration. This information may be further exploited for different purposes, such as prediction, diagnosis, decision making and system control. Data-driven models have been found to be particularly useful in assessment of some human abilities in sport and medicine. We demonstrate the usefulness of data-driven models in custom eHealth application.
Keywords: eHealth; Wireless Sensors; Endurance Training; Estimation; Decision Making Support; Optimization
Authors: Harwinder Singh Sohal; Ibrahim Khider Altahir; Elmustafa Sayed Ali Ahmed
Abstract: Mobile ad hoc networks (MANET) have emerged as an important field in the wireless area. Due to its dynamic nature, a primary challenge of MANET is the design of effective routing algorithm that can adapt its behavior to frequent and rapid changes in the network. This paper presents a novel scheme for MANET routing enhancement called Intelligent Ant sense (INTANTSENSE) protocol based on ant colony optimization. It utilizes a collection of mobile agents to perform optimal routing activities. By combining the capability of reactive routing with distributed and multipath routing mechanism, Intelligent Ant Sense routing compared with AODV protocol using network simulator-2 (NS-2).INTANTSENSE protocol utilizing the benefits of pheromones, third party reply model and ring search model, to enable optimal path routing, fast route discovery and effective Sense routing route failure handling.
Keywords: MANET; AODV; INTANTSENSE Ring Search Model; Third Party Reply