1. CONTEXTO1.1. MANETMANET (Mobile and Ad hoc NETworks) (Redes móviles sin cables) son redes formadas por nodos móviles. Se comunican sin cables i lo hacen de manera 'ad hoc'. En este tipo de redes, los protocolos de enrutamiento tienen que ser diferentes de los utilizados en redes fijas.Hoy en día, existen protocolos de enrutamiento capaces de operar en este tipo de redes. No obstante, son completamente inseguras y confían en que los nodos no actuarán de manera malintencionada. En una red donde no se puede contar con la presencia de servidores centrales, se necesita que los nodos puedan comunicarse sin el riesgo de que otros nodos se hagan pasar por aquellos con quien quieren comunicarse. En una red donde todo el mundo es anónimo conceptos como identidad y confianza deben ser redefinidos.1.2. AODVAd Hoc On-Demand Vector Routing (AODV) es un protocolo de enrutamiento reactivo para redes MANET. Esto significa que AODV no hace nada hasta que un nodo necesita transmitir un paquete a otro nodo para el cual no tiene ruta. AODV sólo mantiene rutas entre nodos que necesitan comunicarse. Sus mensajes no contienen información de toda la ruta, solo contienen información sobre el origen i el destino. Por lo tanto los mensajes de AODV tienen tamaño constante independientemente del numero de nodos de la ruta. Utiliza números de secuencia para especificar lo reciente que es una ruta (en relación con otra), lo cual garantiza ausencia de 'loops' (bucles).En AODV, un nodo realiza un descubrimiento de ruta haciendo un 'flooding' de la red con un mensaje llamado 'Route Request' (RREQ). Una vez llega a un nodo que conoce la ruta pedida responde con un 'Route Reply' (RREP) que viaja de vuelta al originador del RREQ. Después de esto, todos los nodos de la ruta descubierta conocen las rutas hacia los dos extremos de la ruta.2. CONTRIBUTIONS2.1. SAODVSAODV (Secure Ad hoc On-Demand Distance Vector) es una extensión de AODV que protege el mecanismo de descubrimiento de ruta. Proporciona funcionalidades de seguridad como ahora integridad i autenticación.Se utilizan firmas digitales para autenticar los campos de los mensajes que no son modificados en ruta y cadenas de hash para proteger el 'hop count' (que es el único campo que se modifica en ruta).2.2. SAKMSAKM (Simple Ad hoc Key Management) proporciona un sistema de gestión de llaves que hace posible para cada nodo obtener las llaves públicas de los otros nodos de la red. Además, permite que cada nodo pueda verificar la relación entre la identidad de un nodo y la llave pública de otro.Esto se consigue a través del uso de direcciones estadísticamente únicas y criptográficamente verificables.2.2.1. Verificación pospuestaEl método 'verificación pospuesta' permite tener rutas pendientes de verificación. Estas serán verificadas cuando el procesador disponga de tiempo para ello y (en cualquier caso) antes de que esas rutas deban ser utilizadas para transmitir paquetes.2.3. Detección de atajosCuando un protocolo de enrutamiento para redes MANET realiza un descubrimiento de ruta, no descubre la ruta más corta sino la ruta a través de la cual el mensaje de petición de ruta viajó más rápidamente. Además, debido a que los nodos son móviles, la ruta que era la más corta en el momento del descubrimiento puede dejar de ser-lo en breve. Esto causa un retraso de transmisión mucho mayor de lo necesario y provoca muchas más colisiones de paquetes.Para evitar esto, los nodos podrían realizar descubrimientos de atajos periódicos para las rutas que están siendo utilizadas. Este mismo mecanismo puede ser utilizado para 'recuperar' rutas que se han roto. / 1. BACKGROUND1.1. MANETMANET (Mobile and Ad hoc NETworks) are networks formed by nodes that are mobile. They use wireless communication to speak among them and they do it in an ad hoc manner. In this kind of networks, routing protocols have to be different than from the ones used for fixed networks. In addition, nodes use the air to communicate, so a lot of nodes might hear what a node transmits and there are messages that are lost due to collisions.Nowadays, routing in such scenario has been achieved. Nevertheless, if it has to be broadly used, it is necessary to be able to do it in a secure way. In a network where the existance of central servers cannot be expected, it is needed that nodes will be able to communicate without the risk of malicious nodes impersonating the entities they want to communicate with. In a network where everybody is anonymous, identity and trust need to be redefined.1.2. AODVAd Hoc On-Demand Vector Routing (AODV) protocol is a reactive routing protocol for ad hoc and mobile networks. That means that AODV does nothing until a node needs to transmit a packet to a node for which it does not know a route. In addition, it only maintains routes between nodes which need to communicate. Its routing messages do not contain information about the whole route path, but only about the source and the destination. Therefore, routing messages have a constant size, independently of the number of hops of the route. It uses destination sequence numbers to specify how fresh a route is (in relation to another), which is used to grant loop freedom.In AODV, a node does route discovery by flooding the network with a 'Route Request' message (RREQ). Once it reaches a node that knows the requested route, it replies with a 'Route Reply' message (RREP) that travels back to the originator of the RREQ. After this, all the nodes of the discovered path have routes to both ends of the path. 2. CONTRIBUTIONS2.1. SAODVThe Secure Ad hoc On-Demand Distance Vector (SAODV) is an extension of the AODV routing protocol that can be used to protect the route discovery mechanism providing security features like integrity and authentication.Two mechanisms are used to secure the AODV messages: digital signatures to authenticate the non-mutable fields of the messages, and hash chains to secure the hop count information (the only mutable information in the messages).The information relative to the hash chains and the signatures is transmitted with the AODV message as an extension message.2.2. SAKMSimple Ad hoc Key Management (SAKM) provides a key management system that makes it possible for each ad hoc node to obtain public keys from the other nodes of the network. Further, each ad hoc node is capable of securely verifying the association between the identity of a given ad hoc node and the public key of that node.This is achieved by using statistically unique and cryptographically verifiable address.2.2.1. Delayed VerificationDelayed verification allows to have route entries and route entry deletions in the routing table that are pending of verification. They will be verified whenever the node has spared processor time or before these entries should be used to forward data packages.2.3. Short Cut DetectionWhen a routing protocol for MANET networks does a route discovery, it does not discover the shortest route but the route through which the route request flood traveled faster. In addition, since nodes are moving, a route that was the shortest one at discovery time might stop being so in quite a short period of time. This causes, not only a much bigger end-to-end delay, but also more collisions and a faster power consumption.In order to avoid all the performance loss due to these problems, nodes could periodically discover shortcuts to the active routes that can be used with any destination vector routing protocol. The same mechanism can be used also as a bidirectional route recovery mechanism.

In crucial times, such as natural disasters like Earthquakes, Floods, military attack, rescue and emergency operations, etc., it is not possible to maintain an infrastructure. In these situations, wireless Mobile Ad-Hoc networks can be an alternative to wired networks. In our thesis, due to the importance of MANET (Mobile Ad-hoc Network) applications, we do research on MANET and its subtype IMANET (Internet based Mobile Ad-hoc Network). In MANETs, finding an optimum path among nodes is not a simple issue due to the random mobility of nodes and topology changes frequently. Simple routing algorithms like Shortest Path, Dijksta‟s and Link State fail to find route in such dynamic scenarios. A number of ad-hoc protocols (Proactive, Reactive, Hybrid and Position based) have been developed for MANETs. In this thesis, we have designed an IMANET in OPNET 14.5 and tested the performance of three different routing protocols namely OLSR (Optimum Link State Routing), TORA (Temporarily Ordered Routing Algorithm) and AODV (Ad-hoc On-demand Distance Vector) in different scenarios by varying the number of nodes and the size of the area. The experimental results demonstrate that among the three protocols, none of the routing protocol can ensure good quality HTTP and voice communication in all our considered scenarios.

In recent years, the applications of wireless mesh network in the embedded systems have become more widely. It's an important issue that how to consume lower energy and transfer data stably based on energy considerations. The embedded systems must have the appropriate routing protocol for low power consumption and stable long-distance data transmission. In this paper, a routing protocol is proposed with sequential repair and backup routing protocol(Ad Hoc On-Demand Distance Vector Routing-Sequential Repair and Backup Routing Protocol, AODV-SRBR Protocol), that can reduce the number of transceivers and have a stable connection. In the proposed routing protocol, the node of network can create multi-route message through decoding the path information of packets. Using a complete routing information can reduce the number of route request packets efficiently. when the link is broken, the proposed protocol can repair the data transmission by sequential repair or select backup routing. In this paper, we implement the routing protocol to verify a multi-hop connection and data transfer in the general environment. The performance of AODV-SRBR and AODV is compared and simulated by NS2. The proposed routing protocol can achieve same transmission efficiency in the fewer route request packets, fewer maintance packets and fewer transmit and receive times according to the simulation result. By stable connection¡Blow power consumption and multi-hop data transfer, we expect that the proposed routing protocol on the embedded systems platform can be extended in large sensor mesh network.

In this thesis, a modified routing protocol, MAODV (Modified Ad Hoc On-Demand Distance Vector), is proposed for wireless Ad Hoc networks. MAODV uses ACK paths for rerouting data traffic whenever there is a route failure. We create new flags in the routing information of AODV to timely notify TCP layer the network status. After a route failure, the source node monitors ACK packets from the destination node. Every ACK packet when it is received from the destination node, its carried information is used to update the routing tables. Thus, without any interruption, TCP can take the reverse route of the ACK forwarding paths to continue to transmit the rest of data packets. In our proposed scheme, without decreasing the size of TCP congestion window (CWND), a lost packet can be immediately retransmitted as soon as the first duplicate ACK is received. We use NS-2 to simulate the proposed MAODV. From our simulation results, we have shown that when the position of route failures is near the source node, it may take more time to find new data paths. Hence, MAODV has the advantages by taking the reverse ACK paths to transmit data packets before new routing paths are found. Finally, we have demonstrated that MAODV performs better than TCP-BuS (BUffering capability and Sequence information) and the original TCP, when there are many hops between the source node and the destination node. On the other hand, when the position of route failures is near the destination node, the advantages of MAODV become not so significant because there exists some local repair mechanisms to be applied.

An ad-hoc network operates without a central entity or infrastructure, and is composed of highly mobile hosts. In ad-hoc network, routing protocols are with host mobility and bandwidth constraints. There have been many recent proposals of routing protocols for ad-hoc networks. A recent trend in ad hoc network routing is the reactive on-demand philosophy where routes are established only when required. AODV(Ad-hoc On-demand Distance Vector routing) evaluates routes only on an as-needed basis and routes are maintained only as long as they are necessary. Because the network topology changes frequently in ad-hoc networks, some on-demand protocols with multi-paths or backup routes have been proposed. Sung-Ju Lee and Mario Gerla proposed an AODV-BR scheme to improve existing on-demand routing protocols by creating a mesh and providing multiple alternate routes . The algorithm establishes the mesh and multi-path using the RREP (Route Reply) of AODV, which does not transmit any extra control message. In this paper, we propose two schemes : AODV-ABR(Adaptive Backup Route) and AODV-ABL (Adaptive Backup Route and Local repair) to increase the adaptation of routing protocol to topology changes by modifying AODV-BR. In AODV-ABR, the alternative route can be creating by overhearing not only RREP packets but also data packets. AODV-ABL combines the benefits of AODV-ABR and Local Repair. Finally, we evaluate the performance improvement by simulation.

Mobile ad hoc network is an architecture which do not exist any infrastructure or centralized administration. There are many routing protocols have been proposed so far, such as AODV, DSR and CGSR. These protocols were classified as reactive in which routes are established only when required. Due to the movement of mobile nodes, network topology changes frequently, and the routing path could be broken easily. This phenomenon will cause higher routing overhead and delivery latency. In conventional routing protocols, the source-destination pair only establishes a single path for data transmission. These routing scheme, however, suffer from the drawback of node movement. When route broken, the source node must reconstruct another new path. This paper presents an adaptive routing protocol named Adaptive Route Selection Scheme of Multiple Paths for Mobile Ad Hoc Network (ARSMA). The aim of the work is to improve the delivery ratio. In the route request phase, source nodes will discovery two routes to the destination node, one for primary path, and the other for the backup path. During the discovery procedure, each node will estimate the link expire time through the movement speed and direction of the precursor node. When a link breakage is about to occur, source node will try to switch the transmission to the backup route.The simulation result shows that ARSMA is able to achieve a remarkable improvement in delivery ratio and end-to-end dealy.

In intelligent transportation systems, the cooperation between vehicles and the road side units is essential to bring these systems to fruition. Vehicular ad hoc networks (VANETs) are a promising technology to enable the communications among vehicles on one hand and between vehicles and road side units on the other hand. However, it is a challenging task to develop a reliable routing algorithm for VANETs due to the high mobility and the frequent changes of the network topology. Communication links are highly vulnerable to disconnection in VANETs; hence, the routing reliability of these ever-changing networks needs to be paid special attention. In this paper, we propose a new vehicular reliability model to facilitate the reliable routing in VANETs. The link reliability is defined as the probability that a direct communication link between two vehicles will stay continuously available over a specified time period. Furthermore, the link reliability value is accurately calculated using the location, direction and velocity information of vehicles along the road. We extend the well-known ad hoc on-demand distance vector (AODV) routing protocol to propose our reliable routing protocol AODV-R. Simulation results demonstrate that AODV-R outperforms significantly the AODV routing protocol in terms of better delivery ratio and less link failures while maintaining a reasonable routing control overhead.

Broadcasting is an essential and effective data propagation mechanism with several important applications, such as route discovery, address resolution and many other network services. Though data broadcasting has many advantages, it can also cause a high degree of contention, collision and congestion, leading to what is known as ¿broadcast storm problems¿. Broadcasting has traditionally been based on the flooding protocol, which simply overflows the network with a high number of rebroadcast messages until these reach all the network nodes. A good probabilistic broadcast protocol can achieve high saved rebroadcast (SRB), low collision and a lower number of relays. When a node is in a sparse region of the network, rebroadcasting is relatively more important while the potential redundancy of rebroadcast is low because there are few neighbours which might rebroadcast the packet unnecessarily. Further, in such a situation, contention over the wireless medium resulting from Redundant broadcasts is not as serious as in scenarios with medium or high density node populations. This research proposes a dynamic probabilistic approach that dynamically fine-tunes the rebroadcast probability according to the number of neighbouring nodes distributed in the ad-hoc network for routing request packets (RREQs) without requiring the assistance of distance measurements or location-determination devices. The main goal of this approach is to reduce the number of rebroadcast packets and collisions in the network. The performance of the proposed approach is investigated and compared with simple AODV, fixed-probabilistic and adjusted-probabilistic flooding [1] schemes using the GloMoSim network simulator and a number of important MANET parameters, including node speed, traffic load and node density under a Random Waypoint (RWP) mobility model. Performance results reveal that the proposed approach is able to achieve higher SRB and less collision as well as a lower number of relays than fixed probabilistic, simple AODV and adjusted-probabilistic flooding. In this research, extensive simulation experiments have been conducted in order to study and analyse the proposed dynamic probabilistic approach under different mobility models. The mobility model is designed to describe the movement pattern of mobile customers, and how their position, velocity and acceleration change over time. In this study, a new enhanced dynamic probabilistic flooding scheme is presented. The rebroadcast probability p will be calculated dynamically and the rebroadcasting decision will be based on the average number of nodes in the ad-hoc networks. The performance of the new enhanced algorithm is evaluated and compared to the simple AODV, fixed-probabilistic, adjusted-probabilistic and dynamic-probabilistic flooding schemes. It is demonstrated that the new algorithm has superior performance characteristics in terms of collision, relays and SRB. Finally, the proposed schemes are tested and evaluated through a set of experiments under different mobility models to demonstrate the relative merits and capabilities of these schemes.

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Les techniques de communication coopératives ont été proposées pour améliorer la qualité des signaux reçus par les terminaux sans fil grâce au principe de diversité spatiale. Cette propriété est obtenue par une duplication du signal, envoyé par l’émetteur au niveau d’un terminal relais situé entre l’émetteur et le récepteur. Les travaux de recherche menés en communications coopératives concernent deux domaines principaux: certains traitent la transmission physique alors que d’autres sont étudient l’interaction de la couche physique avec les couches protocolaires supérieures, en particulier les niveaux MAC (Medium Access Control) et réseau. Si ces domaines de recherche sont généralement séparés, des études conjointes s’avèrent nécessaires pour obtenir des systèmes coopératifs implantables. C’est dans ce contexte que se situent les travaux de la thèse avec, comme cadre applicatif, les réseaux ad hoc. En premier lieu, dans la mesure où il n’existe pas de modèle complet de système coopératif, un cadre de modélisation original est proposé pour représenter le fonctionnement d’un système coopératif, sa mise en place et son fonctionnement. Une caractéristique du modèle est de faire abstraction des couches protocolaires. Cette façon de procéder permet d’analyser de façon similaire différentes solutions proposées dans la littérature. De plus, ce modèle facilite la conception de solutions coopératives, en particulier la conception du processus de mise en place du système de coopération qui initialise les rôles de relais, destinataire et source en fonctionnement coopératif. Le modèle de système coopératif est utilisé pour la conception d’une solution de transmission coopérative adaptative où le relais agit en tant que proxy entre la source et le destinataire. L’intérêt de notre proposition, ProxyCoop, par rapport à d’autres propositions, est d’être compatible avec le protocole IEEE 802.11 que ce soit dans son mode de base ou dans son mode optionnel. Pour chaque trame, le mode de transmission à la source est dynamiquement défini soit en mode proxy coopératif soit en mode non coopératif, et ce en fonction de la réception ou la non réception d’un acquittement du destinataire. Les résultats de simulation montrent, sous certaines conditions, une amélioration des performances en termes de nombre de trames effectivement reçues. Le nombre de retransmissions dues à des trames reçues erronées est diminué, et les transmissions en mode multi saut, coûteuses en temps et en bande passante sont également diminuées. Les conditions favorables à la coopération sont dépendantes de la qualité et de l’accessibilité du canal. Une méthode pour la mise en place du système coopératif est également proposée. Elle repose sur l’utilisation d’un protocole standard de routage pour réseaux ad hoc, AODV. Les évaluations de performances indiquent que la mise en place du système de coopération coûte peu en termes de bande passante, les performances du système (mise en place et fonctionnement) sont supérieures à celles d’un système non-coopératif, pour des conditions données. Finalement, l’application de la solution proposée à un réseau ad hoc spécifique, un réseau maillé (mesh) conforme au standard IEEE 802.11s illustre où et comment déployer la solution proposée. / Cooperative communication techniques have been proposed in order to improve the quality of the received signals at the receivers by using the diversity added by duplication of signals sent by relay terminals situated between each transmission pair. Researches related to cooperative communication can be categorized into two fields; Cooperative transmissions and Cooperative setup. The first research field concerns with cooperative transmission techniques in the physical layer while the second research field concerns with issues on inter-layer interaction between cooperative transmissions in the physical layer to protocols in the upper layers (especially the MAC layer and the network layer). These research topics have been separately concerned but, for implementations, they have to work together. Since there is not any existing common frame work to describe entire functions in cooperative communication, we proposed an original framework of cooperative network at the system level called “Cooperative Network Model”. The model does not reflect the protocol layering; thus, we can generalize the cooperation process and obtain an analysis that is available for many solutions. For validity, the proposed model can clearly illustrate and systematically describe existing cooperative setup protocols. In addition, the proposed cooperative network model facilitates us to find and to solve problems in cooperative designs; especially in cooperative setup, which is in charge on the initiation of the terminal’s role (i.e., a source, a relay, and a destination terminal). Thus, we believe that this model can facilitate the design and updating of existing and future propositions in this domain. The cooperative network protocol is used to design an adaptive cooperative transmission called Proxy Cooperative Transmission. In contrast to other adaptive cooperative transmission techniques, our proposition is compatible to both of the basic access mode and the optional access mode of IEEE 802.11 Medium Access Control (MAC) protocol. The transmission mode for each data frame is adaptively switched between a proxy cooperative mode and a non-cooperative mode based on the absence of acknowledge (ACK) frame. Simulation results show that transmission performance is improved by decreasing the number of re-transmissions due to frame errors; thus, chances of multi-hop mode transitions that are costly in time and bandwidth are alleviated. Then, in order to fulfill ProxyCoop communications in part of cooperative setup, we propose a cooperative setup method called “Proxy Cooperative Setup”. The proposition is based on a routing standard protocol for ad hoc networks, AODV, so that it could be easily deployed. The impacts of ProxyCoopSetup when it works with ProxyCoop transmissions have been studied. From simulation results, it shows that ProxyCoop transmissions with ProxyCoopSetup has similar performance to the ProxyCoop transmissions without ProxyCoopSetup. Finally, when the implementation of the proxy cooperative communication and how it can be integrated on existing networks have been considered, it is shown that the design of proxy cooperative communication is also valuable for the 802.11s WLAN Mesh Network environments.