Made available in DSpace on 2016-04-04T18:31:30Z (GMT). No. of bitstreams: 1 RINA GRACIELA RONDON GONZALEZ.pdf: 1534454 bytes, checksum: 58f56e565eb9e4082c5b978ceee457f4 (MD5) Previous issue date: 2009-12-18 / Due to the increasing demand for services related to wireless networks, such as video, voice and video conferencing and to the concern of telecommunications companies to meet this demand efficiently, the planning of a wireless link becomes very important. Since the propagation of a signal over a wireless network is not driven, it can suffer attenuation caused by obstacles in the medium during its transfer from the transmitting equipment to the receiver, varying the signal strength of the transmission in each area covered. For this reason, in order to plan a wireless network, the characteristics of the environment and infrastructure through which the signal will travel, needs to be taken into account, so it is possible to get the real value of the received power at each required point. Furthermore, since the prediction of the signal?s attenuation in different places, taking into account the impact caused by each mentioned factor in its degradation, can be considered a complex process, it is necessary to use a model that not only considers the characteristics of the medium but also relates these factors in a simple manner allowing to measure the signal?s attenuation caused by the barriers founded in the environment. The Shadowing Signal Propagation model allows the characterization of the attenuation caused by the environment through the ? parameter present in this model. On the other hand, the Fuzzy Logic provides a form of approximate reasoning that allows the treatment of problems with incomplete, vague and imprecise information. Also, it offers a simple way to obtain a possible solution for a problem using the heuristic knowledge about a particular situation. In this way, the Fuzzy Logic can be an useful tool for calculating the ? parameter of the Shadowing Signal Propagation model, making possible to obtain ? values that characterize the attenuation of the environment in study. In this context, this work focuses on the analysis of signal?s attenuation in indoor environments using fuzzy logic. / Devido ? crescente demanda dos servi?os sobre redes sem fio, como v?deo, voz e v?deo confer?ncia e ? preocupa??o das companhias de telecomunica??es em atender esta demanda de forma eficiente, torna-se de fundamental import?ncia o planejamento de um enlace sem fio. Dado que a propaga??o de um sinal em uma rede sem fio n?o ? guiada, esta pode sofrer atenua??o causada pelos obst?culos encontrados no meio durante o seu percurso desde o equipamento transmissor at? o receptor, variando a pot?ncia do sinal da transmiss?o em cada ambiente percorrido. Por este motivo, para fazer o planejamento da rede ? necess?rio que sejam consideradas as caracter?sticas do ambiente e infra-estrutura por onde o sinal vai trafegar de modo que seja poss?vel obter o valor real da pot?ncia recebida em cada ponto do trajeto. Uma vez que a predi??o da atenua??o do sinal em diferentes ambientes, contemplando o impacto relacionado a cada fator que contribui com sua degrada??o, constitui-se em processo bastante complexo, existe a necessidade de utiliza??o de um modelo que al?m de contemplar as caracter?sticas do meio possa relacionar os fatores acima mencionados de uma forma simples de modo a permitir a determina??o da atenua??o do sinal causada pelas barreiras localizadas no meio. O Modelo de Propaga??o do Sinal de Shadowing permite caracterizar a atenua??o gerada pelo meio, atrav?s do par?metro ? presente na equa??o deste modelo. Por outro lado, a L?gica Nebulosa apresenta uma forma de racioc?nio aproximado que permite o tratamento de problemas com informa??es incompletas, vagas e imprecisas. Tamb?m, oferece uma forma simples de inferir uma poss?vel solu??o para um problema usando o conhecimento heur?stico sobre determinada situa??o. Neste sentido, a L?gica Nebulosa resulta em uma ferramenta ?til para o c?lculo do par?metro ? do Modelo de Propaga??o do Sinal de Shadowing posibilitando a obten??o de valores de ? que caracterizem com maior especifica??o a atenua??o do ambiente em estudo. Neste contexto, o presente trabalho trata da an?lise da atenua??o do sinal em ambientes indoor usando l?gica nebulosa.

The goal of the thesis is to design the star-based mesh topology by introducing multiple pan-coordinators (hub/switches) under a multipath-fading environment and to improve the data transaction rate of a network which usually gets worst when there is a single pan-coordinator for synchronization of devices in conventional mesh topology; also reduce the hop-count as least as possible. Most of the work has been done on NS-2 network simulator; therefore the research model which has been used here is a simulation model. Altogether 3 simulations have been done. The first scenario is done on a simplest mesh network with a single coordinator and a radio propagation model which has been used is two-ray ground reflection model. The second scenario simulation is similar to the first scenario but in-order to provide multi-path signal fading and highly congested environment the propagation model which has been used this time is shadowing model. The final simulation which has been done is of multiple-star based mesh topology it also uses the similar radio propagation model which has been defined for second scenario. An intensive performance measurement of all the three simulations has been done in terms of transactions made per-second, packet drop rate along with an analysis of packet drop. An hop-count is also measured between star and mesh topology. For multiple star based mesh topology it can be assumed if multiple stars with a routing capability can be used then nodes in a network will be synchronized or re-synchronized with least number of hops in the congested network with a near-by pan-coordinator (hub/switch). One of the major applications of this topology can be automobile manufacturing industry where alot of machines are installed in a congested network and monitoring of every area is mandatory for swift production.