Improving the scalability of MAC protocols in wireless mesh network

Includes abstract.Includes bibliographical references (leaves 128-133).Efficient utilization of multi-channels is critical for the success of multi-channel MACprotocols. Unfortunately, current multi-channel MAC protocols are not efficient in the utilization of the multiple channels. The poor utilization of the available channels is also affected by the following: channel coordination, channel selection, and channel scheduling strategies, which do not lend themselves to scalability and the efficient use of the multiple channels. Good channel coordination and selection techniques are therefore required to improve the efficiency of the multi-channel MAC protocols. These techniques should be coupled with effective and scalable signalling techniques, which reduce substantial signalling overhead. A multi-channel Cyclical Scheduling Algorithm (CSA) is proposed to address these challenges

Service Level Agreement-based adaptation management for Internet Service Provider (ISP) using Fuzzy Q-learning

Internet access is the vital catalyst for online users, and the number of mobile subscribers is predicted to grow from dramatically in the next few years. This huge demand is the main issue facing the Internet Service Providers (ISPs) who need to handle users’ expectations along with their current resources. An adaptive mechanism within the ISPs architecture is a promising solution to handle such situation. A Service Level Agreement (SLA)is the legal catalyst to monitor any contract violation between end users and ISPs and is embedded within a Quality of Service (QoS) framework. It strengthens and advances the quality of control over the user’s application and network resources and can be further stretched to fulfill the QoS terms through negotiation and re-negotiation. Moreover, the present literature does not focus on the combination of rule-based approaches and adaptation together to update the established learning repository. Therefore, this mainstream of this research in the context of SLAs is to fill in this gap by addressing the combination of rule-base uncertainties and iteration of the learning ability. The key to the proposed architecture is the utilization of self - * capabilities designed to have self-management over uncertainties and the provision of self-adaptive interactions. Thus, the Monitor, Analyse, Plan, Execute and Knowledge Base (MAPE-K) approach is able to deal with this problem together with the integration of Fuzzy and Q-Learning algorithms. The proposed architecture is in the context of autonomic computing. An adaptation manager is the main proposed component to update admission control on the ISP current resources and the ability to manage SLAs. A general methodology type-2 fuzzy logic is applied to ensure the uncertainties and precise decision-making are well addressed in this research. The proposed solution, demonstrating Q-Learning works adaptive with QoS parameters, e.g. Latency, Availability and Packet Loss. With the combination of fuzzy and Q-Learning, we demonstrate that the proposed adaptation manager is able to handle the uncertainties and learning abilities. Q-Learning is able to identify the initial state from various ISPs iterations and update them with appropriate actions, reflecting the reward configurations. The higher the iterations process the higher is the increase the learning ability,rewards and exploration probability. The research outcomes benefit the SLA framework by incorporating the information for SLA policies and Service Level Objectives (SLOs). Lastly, an important contribution is the ability to demonstrate that the MAPE-K approach is a contender for ISP SLA-based frameworks for QoS provision

Radio Communications

In the last decades the restless evolution of information and communication technologies (ICT) brought to a deep transformation of our habits. The growth of the Internet and the advances in hardware and software implementations modified our way to communicate and to share information. In this book, an overview of the major issues faced today by researchers in the field of radio communications is given through 35 high quality chapters written by specialists working in universities and research centers all over the world. Various aspects will be deeply discussed: channel modeling, beamforming, multiple antennas, cooperative networks, opportunistic scheduling, advanced admission control, handover management, systems performance assessment, routing issues in mobility conditions, localization, web security. Advanced techniques for the radio resource management will be discussed both in single and multiple radio technologies; either in infrastructure, mesh or ad hoc networks

Journal of Telecommunications and Information Technology, 2011, nr 3

kwartalni

Design Space Exploration and Resource Management of Multi/Many-Core Systems

The increasing demand of processing a higher number of applications and related data on computing platforms has resulted in reliance on multi-/many-core chips as they facilitate parallel processing. However, there is a desire for these platforms to be energy-efficient and reliable, and they need to perform secure computations for the interest of the whole community. This book provides perspectives on the aforementioned aspects from leading researchers in terms of state-of-the-art contributions and upcoming trends

Quality-aware performance analysis for multimedia MPSoC platforms

Ph.DDOCTOR OF PHILOSOPH

Development of wireless prototype vehicle speed monitoring system.

Globally road accident is considered to be an important issue, which can be reduced by proper vehicle speed monitoring system. More recently, the advancement in wireless sensor technology shows a great promise in designing Intelligent Transportation System (ITS) due to its flexibility and cost-effectiveness for deployment. The aim of this research is to develop a prototype vehicle speed monitoring system using accelerometer-based wireless sensor. The basic concept of the system is based on the following methodology: developing an experimental system to generate random speed data, which can represent vehicle speed on the road and developing a software to monitor and manage the speed data wirelessly. A wireless sensor attached with a mechanical wheel measures the acceleration vibration of the system, which is equivalent to wheel speed and transmits the data wirelessly to a computer. A software (SpeedManage) has been developed using Java Socket programming codes which converts the vibration data to equivalent speed data and presents these in a Graphical User Interface (GUI). If the detected speed is greater than a set speed limit, the data will be automatically saved in a central database in the form of an electronic report for taking any further action. The functionality of the system has been simulated in a laboratory environment by setting different speed limits for monitoring single or multiple vehicle speed scenarios through appropriate algorithm and code development. The graphical user interface (GUI) of the software continuously presents the vehicle speeds with time and the overspeeding conditions are indicated. The speed details are also continuously updated on the left hand side of the GUI. The system is also capable of generating an automatic electronic report for a simulated speeding vehicle with vehicle number, speed details, time etc. Therefore, based on the performance of prototype system, it can be concluded that sensor-based vehicle speed monitoring system has great potential for monitoring vehicle speed wirelessly. SpeedManage software should help to effectively, automatically and intelligently monitor vehicle speed