916 resultados para Ad Hoc Networks
Resumo:
Las redes móviles ad hoc son redes formadas por lainterconexión de terminales inalámbricos que de manera autónoma,sin ninguna administración central, establecen enlaces decomunicación entre ellos. La infraestructura de red la componenlos propios terminales de usuarios que actúan de gestores yencaminadores de paquetes. Así, un usuario cualquiera puedeconectarse con un terminal remoto a través de una conexiónmultisalto entre diferentes usuarios. En este tipo de redes tanabiertas, uno de los retos prioritarios es proteger el anonimatode los sujetos y sus localizaciones. En este artículo hacemos unrepaso de las técnicas existentes a través de los protocolos que sehan propuesto en la literatura, y exponemos los problemas queaun quedan abiertos.
Resumo:
El despliegue de un esquema de confianza es fundamental para poder desarrollar servicios de seguridad que permitan administrar y operar una red. Sin embargo, las soluciones empleadas en las redes tradicionales no se adaptan a un entorno ad hoc debido a la naturaleza dinámica y sin infraestructura de estas redes. En el presente trabajo se propone un esquema de confianza práctico y eficiente basado en una infraestructura de clave pública distribuida, umbral y jerárquica, que no requiere sincronización temporal entre todos los nodos de la red. La autorización de usuarios en el sistema se hace a través de certificados de corta duración que eliminan la necesidad de mantener la publicación y diseminación de unas listas de revocación. Por otro lado, una entidad externa de confianza permite alargar la reputación de un usuario de la red más allá de la existencia de la propia red.
Resumo:
Data caching is an attractive solution for reducing bandwidth demands and network latency in mobile ad hoc networks. Deploying caches in mobile nodes can reduce the overall traf c considerably. Cache hits eliminate the need to contact the data source frequently, which avoids additional network overhead. In this paper we propose a data discovery and cache management policy for cooperative caching, which reduces the power usage, caching overhead and delay by reducing the number of control messages flooded into the network .A cache discovery process based on position cordinates of neighboring nodes is developed for this .The stimulstion results gives a promising result based on the metrics of the studies.
Resumo:
Questa tesi si propone di presentare e classificare per caratteristiche simili i protocolli di routing che ad oggi sono utilizzati nelle Cognitive Radio Ad Hoc Networks. Pertanto dapprima nel Capitolo 1 si introdurranno le radio cognitive con i concetti che sono alla base di questa tecnologia e le principali motivazioni che hanno portato alla loro nascita e poi al loro sviluppo. Nel Capitolo 2 si parlerà delle cognitive networks o meglio delle cognitive radio networks, e delle loro peculiarità. Nel terzo e nel quarto capitolo si affronteranno le CRAHNs e in particolare quali sono le sfide a cui devono far fronte i protocolli di routing che operano su di essa, partendo dall'esaminare quali sono le differenze che distinguono questa tipologia di rete da una classica rete wireless ad hoc con nodi in grado di muoversi nello spazio (una MANET). Infine nell'ultimo capitolo si cercherà di classificare i protocolli in base ad alcune loro caratteristiche, vedendo poi più nel dettaglio alcuni tra i protocolli più usati.
Resumo:
Nell'elaborato si analizzano aspetti della teoria dei giochi e della multi-criteria decision-making. La riflessione serve a proporre le basi per un nuovo modello di protocollo di routing in ambito Mobile Ad-hoc Networks. Questo prototipo mira a generare una rete che riesca a gestirsi in maniera ottimale grazie ad un'acuta tecnica di clusterizzazione. Allo stesso tempo si propone come obiettivo il risparmio energetico e la partecipazione collaborativa di tutti i componenti.
Resumo:
La capacidad de comunicación de los seres humanos ha crecido gracias a la evolución de dispositivos móviles cada vez más pequeños, manejables, potentes, de mayor autonomía y más asequibles. Esta tendencia muestra que en un futuro próximo cercano cada persona llevaría consigo por lo menos un dispositivo de altas prestaciones. Estos dispositivos tienen incorporados algunas formas de comunicación: red de telefonía, redes inalámbricas, bluetooth, entre otras. Lo que les permite también ser empleados para la configuración de redes móviles Ad Hoc. Las redes móviles Ad Hoc, son redes temporales y autoconfigurables, no necesitan un punto de acceso para que los nodos intercambien información entre sí. Cada nodo realiza las tareas de encaminador cuando sea requerido. Los nodos se pueden mover, cambiando de ubicación a discreción. La autonomía de estos dispositivos depende de las estrategias de como sus recursos son utilizados. De tal forma que los protocolos, algoritmos o modelos deben ser diseñados de forma eficiente para no impactar el rendimiento del dispositivo, siempre buscando un equilibrio entre sobrecarga y usabilidad. Es importante definir una gestión adecuada de estas redes especialmente cuando estén siendo utilizados en escenarios críticos como los de emergencias, desastres naturales, conflictos bélicos. La presente tesis doctoral muestra una solución eficiente para la gestión de redes móviles Ad Hoc. La solución contempla dos componentes principales: la definición de un modelo de gestión para redes móviles de alta disponibilidad y la creación de un protocolo de enrutamiento jerárquico asociado al modelo. El modelo de gestión propuesto, denominado High Availability Management Ad Hoc Network (HAMAN), es definido en una estructura de cuatro niveles, acceso, distribución, inteligencia e infraestructura. Además se describen los componentes de cada nivel: tipos de nodos, protocolos y funcionamiento. Se estudian también las interfaces de comunicación entre cada componente y la relación de estas con los niveles definidos. Como parte del modelo se diseña el protocolo de enrutamiento Ad Hoc, denominado Backup Cluster Head Protocol (BCHP), que utiliza como estrategia de encaminamiento el empleo de cluster y jerarquías. Cada cluster tiene un Jefe de Cluster que concentra la información de enrutamiento y de gestión y la envía al destino cuando esta fuera de su área de cobertura. Para mejorar la disponibilidad de la red el protocolo utiliza un Jefe de Cluster de Respaldo el que asume las funciones del nodo principal del cluster cuando este tiene un problema. El modelo HAMAN es validado a través de un proceso la simulación del protocolo BCHP. El protocolo BCHP se implementa en la herramienta Network Simulator 2 (NS2) para ser simulado, comparado y contrastado con el protocolo de enrutamiento jerárquico Cluster Based Routing Protocol (CBRP) y con el protocolo de enrutamiento Ad Hoc reactivo denominado Ad Hoc On Demand Distance Vector Routing (AODV). Abstract The communication skills of humans has grown thanks to the evolution of mobile devices become smaller, manageable, powerful, more autonomy and more affordable. This trend shows that in the near future each person will carry at least one high-performance device. These high-performance devices have some forms of communication incorporated: telephony network, wireless networks, bluetooth, among others. What can also be used for configuring mobile Ad Hoc networks. Ad Hoc mobile networks, are temporary and self-configuring networks, do not need an access point for exchange information between their nodes. Each node performs the router tasks as required. The nodes can move, change location at will. The autonomy of these devices depends on the strategies of how its resources are used. So that the protocols, algorithms or models should be designed to efficiently without impacting device performance seeking a balance between overhead and usability. It is important to define appropriate management of these networks, especially when being used in critical scenarios such as emergencies, natural disasters, wars. The present research shows an efficient solution for managing mobile ad hoc networks. The solution comprises two main components: the definition of a management model for highly available mobile networks and the creation of a hierarchical routing protocol associated with the model. The proposed management model, called High Availability Management Ad Hoc Network (HAMAN) is defined in a four-level structure: access, distribution, intelligence and infrastructure. The components of each level: types of nodes, protocols, structure of a node are shown and detailed. It also explores the communication interfaces between each component and the relationship of these with the levels defined. The Ad Hoc routing protocol proposed, called Backup Cluster Head Protocol( BCHP), use of cluster and hierarchies like strategies. Each cluster has a cluster head which concentrates the routing information and management and sent to the destination when out of cluster coverage area. To improve the availability of the network protocol uses a Backup Cluster Head who assumes the functions of the node of the cluster when it has a problem. The HAMAN model is validated accross the simulation of their BCHP routing protocol. BCHP protocol has been implemented in the simulation tool Network Simulator 2 (NS2) to be simulated, compared and contrasted with a hierarchical routing protocol Cluster Based Routing Protocol (CBRP) and a routing protocol called Reactive Ad Hoc On Demand Distance Vector Routing (AODV).
Resumo:
A mobile ad hoc network MANET is a collection of wireless mobile nodes that can dynamically configure a network without a fixed infrastructure or centralized administration. This makes it ideal for emergency and rescue scenarios where information sharing is essential and should occur as soon as possible. This article discusses which of the routing strategies for mobile ad hoc networks: proactive, reactive and hierarchical, have a better performance in such scenarios. Using a real urban area being set for the emergency and rescue scenario, we calculate the density of nodes and the mobility model needed for validation. The NS2 simulator has been used in our study. We also show that the hierarchical routing strategies are beffer suited for this type of scenarios.
Resumo:
En la última década ha aumentado en gran medida el interés por las redes móviles Ad Hoc. La naturaleza dinámica y sin infraestructura de estas redes, exige un nuevo conjunto de algoritmos y estrategias para proporcionar un servicio de comunicación fiable extremo a extremo. En el contexto de las redes móviles Ad Hoc, el encaminamiento surge como una de las áreas más interesantes para transmitir información desde una fuente hasta un destino, con la calidad de servicio de extremo a extremo. Debido a las restricciones inherentes a las redes móviles, los modelos de encaminamiento tradicionales sobre los que se fundamentan las redes fijas, no son aplicables a las redes móviles Ad Hoc. Como resultado, el encaminamiento en redes móviles Ad Hoc ha gozado de una gran atención durante los últimos años. Esto ha llevado al acrecentamiento de numerosos protocolos de encaminamiento, tratando de cubrir con cada uno de ellos las necesidades de los diferentes tipos de escenarios. En consecuencia, se hace imprescindible estudiar el comportamiento de estos protocolos bajo configuraciones de red variadas, con el fin de ofrecer un mejor encaminamiento respecto a los existentes. El presente trabajo de investigación muestra precisamente una solución de encaminamiento en las redes móviles Ad Hoc. Dicha solución se basa en el mejoramiento de un algoritmo de agrupamiento y la creación de un modelo de encaminamiento; es decir, un modelo que involucra la optimización de un protocolo de enrutamiento apoyado de un mecanismo de agrupación. El algoritmo mejorado, denominado GMWCA (Group Management Weighted Clustering Algorithm) y basado en el WCA (Weighted Clustering Algorithm), permite calcular el mejor número y tamaño de grupos en la red. Con esta mejora se evitan constantes reagrupaciones y que los jefes de clústeres tengan más tiempo de vida intra-clúster y por ende una estabilidad en la comunicación inter-clúster. En la tesis se detallan las ventajas de nuestro algoritmo en relación a otras propuestas bajo WCA. El protocolo de enrutamiento Ad Hoc propuesto, denominado QoS Group Cluster Based Routing Protocol (QoSG-CBRP), utiliza como estrategia el empleo de clúster y jerarquías apoyada en el algoritmo de agrupamiento. Cada clúster tiene un jefe de clúster (JC), quien administra la información de enrutamiento y la envía al destino cuando esta fuera de su área de cobertura. Para evitar que haya constantes reagrupamientos y llamados al algoritmo de agrupamiento se consideró agregarle un jefe de cluster de soporte (JCS), el que asume las funciones del JC, siempre y cuando este haya roto el enlace con los otros nodos comunes del clúster por razones de alejamiento o por desgaste de batería. Matemáticamente y a nivel de algoritmo se han demostrado las mejoras del modelo propuesto, el cual ha involucrado el mejoramiento a nivel de algoritmo de clustering y del protocolo de enrutamiento. El protocolo QoSG-CBRP, se ha implementado en la herramienta de simulación Network Simulator 2 (NS2), con la finalidad de ser comparado con el protocolo de enrutamiento jerárquico Cluster Based Routing Protocol (CBRP) y con un protocolo de enrutamiento Ad Hoc reactivo denominado Ad Hoc On Demand Distance Vector Routing (AODV). Estos protocolos fueron elegidos por ser los que mejor comportamiento presentaron dentro de sus categorías. Además de ofrecer un panorama general de los actuales protocolos de encaminamiento en redes Ad Hoc, este proyecto presenta un procedimiento integral para el análisis de capacidades de la propuesta del nuevo protocolo con respecto a otros, sobre redes que tienen un alto número de nodos. Estas prestaciones se miden en base al concepto de eficiencia de encaminamiento bajo parámetros de calidad de servicio (QoS), permitiendo establecer el camino más corto posible entre un nodo origen y un nodo destino. Con ese fin se han realizado simulaciones con diversos escenarios para responder a los objetivos de la tesis. La conclusiones derivadas del análisis de los resultados permiten evaluar cualitativamente las capacidades que presenta el protocolo dentro del modelo propuesto, al mismo tiempo que avizora un atractivo panorama en líneas futuras de investigación. ABSTRACT In the past decade, the interest in mobile Ad Hoc networks has greatly increased. The dynamic nature of these networks without infrastructure requires a new set of algorithms and strategies to provide a reliable end-to-end communication service. In the context of mobile Ad Hoc networks, routing emerges as one of the most interesting areas for transmitting information from a source to a destination, with the quality of service from end-to-end. Due to the constraints of mobile networks, traditional routing models that are based on fixed networks are not applicable to Ad Hoc mobile networks. As a result, the routing in mobile Ad Hoc networks has experienced great attention in recent years. This has led to the enhancement of many routing protocols, trying to cover with each one of them, the needs of different types of scenarios. Consequently, it is essential to study the behavior of these protocols under various network configurations, in order to provide a better routing scheme. Precisely, the present research shows a routing solution in mobile Ad Hoc networks. This solution is based on the improvement of a clustering algorithm, and the creation of a routing model, ie a model that involves optimizing a routing protocol with the support of a grouping mechanism. The improved algorithm called GMWCA (Group Management Weighted Clustering Algorithm) and based on the WCA (Weighted Clustering Algorithm), allows to calculate the best number and size of groups in the network. With this enhancement, constant regroupings are prevented and cluster heads are living longer intra-cluster lives and therefore stability in inter-cluster communication. The thesis details the advantages of our algorithm in relation to other proposals under WCA. The Ad Hoc routing protocol proposed, called QoS Group Cluster Based Routing Protocol (QoSG-CBRP), uses a cluster-employment strategy and hierarchies supported by the clustering algorithm. Each cluster has a cluster head (JC), who manages the routing information and sends it to the destination when is out of your coverage area. To avoid constant rearrangements and clustering algorithm calls, adding a support cluster head (JCS) was considered. The JCS assumes the role of the JC as long as JC has broken the link with the other nodes in the cluster for common restraining reasons or battery wear. Mathematically and at an algorithm level, the improvements of the proposed model have been showed, this has involved the improvement level clustering algorithm and the routing protocol. QoSG-CBRP protocol has been implemented in the simulation tool Network Simulator 2 (NS2), in order to be compared with the hierarchical routing protocol Cluster Based Routing Protocol (CBRP) and with the reactive routing protocol Ad Hoc On Demand Distance Vector Routing (AODV). These protocols were chosen because they showed the best individual performance in their categories. In addition to providing an overview of existing routing protocols in Ad Hoc networks, this project presents a comprehensive procedure for capacity analysis of the proposed new protocol with respect to others on networks that have a high number of nodes. These benefits are measured based on the concept of routing efficiency under the quality of service (QoS) parameters, thus allowing for the shortest possible path between a source node and a destination node. To meet the objectives of the thesis, simulations have been performed with different scenarios. The conclusions derived from the analysis of the results to assess qualitatively the protocol capabilities presented in the proposed model, while an attractive scenario for future research appears.
Resumo:
Traditionally, applications and tools supporting collaborative computing have been designed only with personal computers in mind and support a limited range of computing and network platforms. These applications are therefore not well equipped to deal with network heterogeneity and, in particular, do not cope well with dynamic network topologies. Progress in this area must be made if we are to fulfil the needs of users and support the diversity, mobility, and portability that are likely to characterise group work in future. This paper describes a groupware platform called Coco that is designed to support collaboration in a heterogeneous network environment. The work demonstrates that progress in the p development of a generic supporting groupware is achievable, even in the context of heterogeneous and dynamic networks. The work demonstrates the progress made in the development of an underlying communications infrastructure, building on peer-to-peer concept and topologies to improve scalability and robustness.
Resumo:
Large scale wireless adhoc networks of computers, sensors, PDAs etc. (i.e. nodes) are revolutionizing connectivity and leading to a paradigm shift from centralized systems to highly distributed and dynamic environments. An example of adhoc networks are sensor networks, which are usually composed by small units able to sense and transmit to a sink elementary data which are successively processed by an external machine. Recent improvements in the memory and computational power of sensors, together with the reduction of energy consumptions, are rapidly changing the potential of such systems, moving the attention towards datacentric sensor networks. A plethora of routing and data management algorithms have been proposed for the network path discovery ranging from broadcasting/floodingbased approaches to those using global positioning systems (GPS). We studied WGrid, a novel decentralized infrastructure that organizes wireless devices in an adhoc manner, where each node has one or more virtual coordinates through which both message routing and data management occur without reliance on either flooding/broadcasting operations or GPS. The resulting adhoc network does not suffer from the deadend problem, which happens in geographicbased routing when a node is unable to locate a neighbor closer to the destination than itself. WGrid allow multidimensional data management capability since nodes' virtual coordinates can act as a distributed database without needing neither special implementation or reorganization. Any kind of data (both single and multidimensional) can be distributed, stored and managed. We will show how a location service can be easily implemented so that any search is reduced to a simple query, like for any other data type. WGrid has then been extended by adopting a replication methodology. We called the resulting algorithm WRGrid. Just like WGrid, WRGrid acts as a distributed database without needing neither special implementation nor reorganization and any kind of data can be distributed, stored and managed. We have evaluated the benefits of replication on data management, finding out, from experimental results, that it can halve the average number of hops in the network. The direct consequence of this fact are a significant improvement on energy consumption and a workload balancing among sensors (number of messages routed by each node). Finally, thanks to the replications, whose number can be arbitrarily chosen, the resulting sensor network can face sensors disconnections/connections, due to failures of sensors, without data loss. Another extension to {WGrid} is {W*Grid} which extends it by strongly improving network recovery performance from link and/or device failures that may happen due to crashes or battery exhaustion of devices or to temporary obstacles. W*Grid guarantees, by construction, at least two disjoint paths between each couple of nodes. This implies that the recovery in W*Grid occurs without broadcasting transmissions and guaranteeing robustness while drastically reducing the energy consumption. An extensive number of simulations shows the efficiency, robustness and traffic road of resulting networks under several scenarios of device density and of number of coordinates. Performance analysis have been compared to existent algorithms in order to validate the results.
Resumo:
Ad hoc wireless sensor networks (WSNs) are formed from self-organising configurations of distributed, energy constrained, autonomous sensor nodes. The service lifetime of such sensor nodes depends on the power supply and the energy consumption, which is typically dominated by the communication subsystem. One of the key challenges in unlocking the potential of such data gathering sensor networks is conserving energy so as to maximize their post deployment active lifetime. This thesis described the research carried on the continual development of the novel energy efficient Optimised grids algorithm that increases the WSNs lifetime and improves on the QoS parameters yielding higher throughput, lower latency and jitter for next generation of WSNs. Based on the range and traffic relationship the novel Optimised grids algorithm provides a robust traffic dependent energy efficient grid size that minimises the cluster head energy consumption in each grid and balances the energy use throughout the network. Efficient spatial reusability allows the novel Optimised grids algorithm improves on network QoS parameters. The most important advantage of this model is that it can be applied to all one and two dimensional traffic scenarios where the traffic load may fluctuate due to sensor activities. During traffic fluctuations the novel Optimised grids algorithm can be used to re-optimise the wireless sensor network to bring further benefits in energy reduction and improvement in QoS parameters. As the idle energy becomes dominant at lower traffic loads, the new Sleep Optimised grids model incorporates the sleep energy and idle energy duty cycles that can be implemented to achieve further network lifetime gains in all wireless sensor network models. Another key advantage of the novel Optimised grids algorithm is that it can be implemented with existing energy saving protocols like GAF, LEACH, SMAC and TMAC to further enhance the network lifetimes and improve on QoS parameters. The novel Optimised grids algorithm does not interfere with these protocols, but creates an overlay to optimise the grids sizes and hence transmission range of wireless sensor nodes.