Fisseha Mekuria

Enabling dynamic spectrum access through location aware spectrum databases

Dynamic spectrum access (DSA) regulations and associated radio network technologies are expected to result in efficient frequency spectrum utilization by future wireless networks. TV white space (TVWS) networks supported by location aware spectrum databases (LASDs) will be the first step to realize DSA, until cost-effective cognitive radio (CR) devices are reliable enough for building future networks. This paper describes a design and development process of a LASD for rural communities in South Africa. Apart from avoiding the difficult problem of spectrum sensing, the database also protects primary TV broadcasters from any harmful interference that might be caused due to secondary spectrum usage. The LASD is designed as a tool for testing DSA policy frameworks and enables reconfigurable TVWS networks to provide full capacity and affordable wireless broadband Internet connectivity for rural communities.

Ensemble multisensor data using state-of-the-art classification methods

Detection and identification from sensing image is a common task for many applications. In order to improve the performance of detection and identification the use of multiple classifier combination is demonstrated and evaluated in the paper using two industrial image datasets. Experiments show that multiple classifier combination can improve the performance of image classification and image detection and identification with boosting and bagging achieve higher accuracy rates. Accordingly, good performance is consistently derived from static parallel systems.

Achievable capacity limit of high performance nodes for wireless mesh networks

Copyright: 2012 Olwal et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Multicriteria Decision Analysis of Spectrum Management Frameworks for Futuristic Wireless Networks: The Context of Developing Countries

National regulatory authorities (NRAs) in developing countries need an accelerated means to formulate technical regulations for the telecommunications sector. This will enable countries to gain maximum benefits from the rapid advances in technology. The existing regulation-making processes are time-consuming and do not cope with the emergence of global technological changes. This article presents an efficient and quicker approach to formulate regulatory framework to govern the wireless technologies that are based on the Dynamic Spectrum Access (DSA) technique. The approach utilises Multicriteria Decision Analysis (MCDA) tools. The article uses a case study to evaluate dominant Dynamic Spectrum Management (DSM) frameworks. Finally, a sustainable DSM framework that has potential to address the digital divide challenges in the context of developing countries is proposed.

The FIREMAN: Foraging-Inspired energy management in multi-radio Wi-Fi networks

The tremendously rapid evolution of wireless networks into the next generation heterogeneous broadband and mobile networks has necessitated the emergence of the multiradio, wireless infrastructure. These wireless infrastructural technologies have been designed in such a manner so as to enable them be self-organized, self-configured, reliable and robust, with a capacity that sustains high traffic volumes and long “online” time. However, the desired networking and complex features have resulted in unnecessary network energy consumption, impacting negatively on the economy, environment and the ICT markets. In order to reduce the potential energy consumption in these networks, this paper proposes a novel energy management scheme based on behavioral ecology. Inspired by the applied foraging theory, whereby a solitary forager in a random ecosystem makes optimal decisions that maximizes its energy (nutrients) consumption, survival probability and lifetime; a Foraging-Inspired Radio-Communication Energy Management (FIREMAN) method has been developed. The FIREMAN method achieves both optimal energy consumption and lifetime in multi-radio Wi-Fi networks. The efficacy of the new method has been extensively validated through computer simulations of the energy and throughput performance.