SIBCSRP: Swarm Intelligence based Cluster Supported Routing Technique for MANET

Mobile Ad hoc Network (MANET) basically, is a collection of mobile hosts incorporating wireless interfaces that forms a transitory autonomous network. They do not base on fixed infrastructure or central administration, rather work on the principle of self-organized interconnections among mobile nodes. Fundamentally, in MANET when nodes come inside the transmission range of neighboring nodes', they can be detected by each other and can communicate directly. However for communication outside this range they have to depend on some other nodes to relay the messages .This is where routing protocols have to play a very important role. Literature for improving the performance of routing protocol is available in abundance. Among these comes, the hierarchical/cluster-based routing protocols that claim to reduce control overheads. Clustering in Mobile Ad hoc Networks (MANETs) has proved to be advantageous compared to the traditional networks. However the highly dynamic and unstable nature of MANETs makes it intricate for the cluster based routing protocols to split a mobile network into clusters and determination of cluster heads for each cluster. Although much previous research has concentrated on cluster-head selection in MANETs, not much effort has been done on the security side of cluster-head selection. This paper emphasize that secure cluster head selection in MANETs has an intense effect on network performance. Specifically, we stress that in ad hoc network where all the participants are self controlled, security is an essential aspect and the effective cluster-head selection can improve network throughput. We propose a secure and effective cluster-head Selection scheme using a cross-layer approach that integrates cluster-head discovery and selection functionality with network ad hoc routing mechanisms and the lower layer drivers built-in the system. Besides, proposed scheme handle the disconnections in ad hoc network due to the effects of topology changes and battery depletion. This scheme allows clients to switch to better cluster-head nodes as network topology changes. Hence, provides better performance to network.

Secure routing in the field of mobile ad hoc network (MANET) is one of the most flourishing areas of research. Devising a trustworthy security protocol for ad hoc routing is a challenging task due to the unique network characteristics such as lack of central authority, rapid node mobility, frequent topology changes, insecure operational environment, and confined availability of resources. Due to low configuration and quick deployment, MANETs are well-suited for emergency situations like natural disasters or military applications. Therefore, data transfer between two nodes should necessarily involve security. A black-hole attack in the mobile ad-hoc network (MANET) is an offense occurring due to malicious nodes, which attract the data packets by incorrectly publicizing a fresh route to the destination. A clustering direction in AODV routing protocol for the detection and prevention of black-hole attack in MANET has been put forward. Every member of the unit will ping once to the cluster head, to detect the exclusive difference between the number of data packets received and forwarded by the particular node. If the fault is perceived, all the nodes will obscure the contagious nodes from the network. The reading of the system performance has been done in terms of packet delivery ratio (PDR), end to end delay (ETD) throughput and Energy simulation inferences are recorded using ns2 simulator

A Mobile Ad-hoc Network (MANET) is a wireless network in which nodes, in the absence of fixed access points, communicate via single or multi-hop paths. Each node in a MANET should thus be able to perform necessary routing functions, and a MANET routing protocol should be able to adapt fast and effectively to sudden changes in network layout. Providing trustworthy Quality of Service guarantees in a MANET is very challenging due to the dynamic and uncertain nature of these networks

Mobile ad hoc networks (MANET) are self-configured and self-maintained network without any central authority. In MANET the route discovery from source node to destination node is a critical issue due to frequent changes in network topology and mobility of nodes. The MANET consists of problems such as load balancing, scalability, stability, reliability security and robustness. It is therefore necessary to check node stability with respect to node mobility and Bandwidth during path establishment. The Scalable Multipath On-demand Routing Protocol for Mobile Ad-hoc Network (SMORT) is suitable for Scalability only. The proposed protocol is an advanced version of SMORT which includes additional stability factor. This paper presents a new multipath routing protocol, stable and scalable on-demand routing for mobile ad hoc networks which improves the lifetime of the network and improves the performance.

A Mobile ad hoc Network (MANET) is a self-configuring, dynamic, multi-hop network composed of mobile nodes that operate without the need of any established infrastructure. The creation of stable, scalable and adaptive clusters with good performance, faster convergence rate and minimal overhead is a challenging task in MANET. This chapter proposes two clustering techniques for MANET, which are (k, r)-Dominating Set-based, weighted and adaptive to changes in the network topology. The set of dominating nodes functions as the clusterhead (CH) to relay the data and control packets. The proposed scenario-based clustering algorithm for MANETs (SCAMs) is a greedy approximation algorithm, whereas the Distributed SCAM (DSCAM) selects the (k, r)-dominating set through a distributed election mechanism. These algorithms achieve variable degree of CH redundancy through the parameter k, which contributes to reliability. Similarly, flexibility in creating variable diameter clusters is achieved with the parameter r. The performance of these algorithms are evaluated through simulation and the results show that these algorithms create stable, scalable and load-balanced clusters with relatively less control overhead in comparison with the existing popular algorithms.

In mobile ad hoc networks (MANETs), the efficient energy-efficient cluster head selection (EECHS) is a significant issue. When an appropriate cluster head (CH) is chosen, MANETs'''' energy efficiency improves. Clusters are built in MANETs to facilitate communication between nodes. The EECHS problem has been addressed using a variety of clustering strategies, including distributed clustering and cluster-based routing. However, these approaches require high overhead and complexity, leading to suboptimal performance. Therefore, it is necessary to develop an algorithm that can select the best CH to facilitate efficient energy-efficient communication in MANETs. In this regard, the Firefly Algorithm (FA) has been proposed as an effective approach to solving the EECHS problem. FA is a type of swarm intelligence-based meta-heuristics algorithm inspired by the behavior of fireflies. FA is a simple and efficient optimization method that can be used to select the best CH in MANETs. The method has a number of benefits, including enhanced convergence rate and local search functionality. FA is also computationally effective and can adapt to shifting network conditions. This essay offers a thorough evaluation of the literature on the use of FA in MANETs to address the EECHS. Along with comparisons of their performances, a thorough examination of the suggested methodologies and algorithms is offered. Last but not least, various difficulties and potential research paths pertaining to the usage of the FA are explored.

As technology progresses, networking undergoes continuous evolution to align with contemporary trends. Mobile Ad hoc Networks (MANETs) have emerged as a pivotal technology facilitating communication among mobile nodes sans a central administering node. MANETs find diverse applications spanning communication networks to battlefield scenarios. Nonetheless, MANETs encounter various challenges, including load balancing, energy efficiency, packet loss, and connection failures. Routing, among these challenges, assumes a pivotal role in defining network performance and connectivity capacity within MANETs. Moreover, the energy consumption of mobile nodes, often reliant on batteries with limited rechargeability, presents a significant concern in MANETs. This paper delves into diverse techniques devised to tackle the issues of energy efficiency and load balancing in MANETs. Additionally, it offers a comparative analysis to consolidate the survey findings. The outcomes of this study enrich our comprehension of energy-efficient and load-balanced routing protocols in MANETs, thereby facilitating the design and deployment of efficient networking solutions.

Mobile ad hoc network (MANET) is an appealing technology that has attracted lots of research efforts. On-demand routing protocol such as AODV may suffer from frequent topological changes. Due to frequent communication failures, multipath MANET is preferred than single-path MANET in many applications as former is used for achieving robustness and load balancing and improving reliability. Although multipath MANET is attractive solution, there are still some major flaws that prevent commercial growth. Security is one of these main barriers; MANETs are known to be particularly vulnerable to security attack. The paper presents a design of robust and secure framework for multipath MANET. In this paper, we propose not only a robust multipath routing protocol but also an extended security scheme. We discuss security analysis for proposed security scheme. And we also conduct simulation to evaluate such a framework through different performance metrics. Results show that the proposed routing protocol achieves better performance in terms of various metrics than other protocols.

With the advance of wireless communication technologies, small-size and high-performance computing and communication devices like laptops and personal digital assistants are increasingly used in daily life. After the success of second generation mobile system, more interest was started in wireless communications. This interest had led to two types of the wireless networks such as infrastructure wireless network and infrastructure less wireless network, also called mobile ad hoc network (MANET). The research challenges in MANET are related to the routing, security, reliability, scalability, quality of services, internetworking, power consumption and multimedia applications. All the mobile nodes of MANET operate on the battery power; hence power consumption becomes an important issue in MANET. It proposes a power-aware node-disjoint multipath source routing (PNDMSR) for real-time traffic, which balances the node energy utilisation to increase the network lifetime. It takes the network congestion into account to reduce the routing delay across the network, and increases the reliability of the data packets reaching the destination.

Mobile ad hoc networks (MANETs) consist of a set of nodes which can move freely and communicate with each other wirelessly. Due to the movement of nodes and unlike wired networks, the available routes used among the nodes for transmitting data packets are not stable. Hence, proposing real-time routing protocols for MANETs is regarded as one of the major challenges in this research domain. Algorithms compatible with the changes created in the network due to the nodes' movements are of high significance. For reducing data packet transmission time among nodes, not only should route shortness be considered but also route stability should be taken into consideration. Since available factors in different environments have specific behavior patterns especially in human environments, the parameters of link stability and route shortness were taken into consideration and the reinforcement learning was used to propose a method so as to make the best choice among the neighbors at any moment to transmit a packet to the destination. That is, the proposed method was aimed at predicting the behavior pattern of the nodes in relation to the target node through using reinforcement learning. The proposed method used Q-learning algorithm which has more homogeneity to estimate the value of actions. Simulation results in OPNET demonstrate the superiority of the proposed scheme over conventional MANET routing methods.

Mobile Ad hoc Networks (MANET) are structure less, autonomous wireless networks with mobile nodes that dynamically establish data transmission connections. Due to dynamic topological change, MANET routes are unbalanced and break repeatedly. Hence, providing efficient and reliable data delivery with effective utilization of network resources is a challenging issue to be considered in MANET. This paper proposes an instant-runoff Ranked Decision Forests Probit Regression-based Connectionist Multilayer Deep Neural Network (IRDFPR-CMDNN) for efficient data transmission and higher data delivery with a minimum end-to-end delay. This IRDFPR-CMDNN method performs route identification, data delivery, and route maintenance with more than three layers. Then the mobile nodes are sent to the input layer of the Connectionist Multilayer Deep Neural Network. In hidden layer 1, the Instant-runoff Ranked Decision Forests algorithm is applied for classifying the mobile nodes depending on the residual energy and load capacity. With selected mobile nodes, the Probit Regression is applied for finding the nearest neighboring nodes in the second hidden layer based on the link quality and received signal strength for route path establishment. Then multiple paths for routing are established from source to destination node and start to perform the data transmission. If link failure occurs during the data transmission, another alternative route with better link quality is selected for routing. In this way, energy-efficient data transmission is performed from source to destination with a higher data delivery rate and minimal time consumption. Experimental evaluation is carried out on energy consumption, packet delivery ratio, packet drop rate, throughput, and end-to-end delay with varying numbers of mobile nodes and data packets. Simulation results show that the IRDFPR-CMDNN technique effectively enhances data delivery, throughput and minimizes energy consumption, packet loss rate, delay with respect to conventional methods.

A mobile ad hoc network is an autonomous wireless network which consists of mobile nodes without any base stations. When a source node communicates with a destination node outside the transmission range of the source node, communication between the source node and the destination node can be through some other nodes between them. Many schemes such as routings and applications have been proposed for mobile ad hoc networks. However, since these schemes tend to be evaluated only through simulation experiments, it is not known whether they work effectively in real environments or not. Therefore, in order to verify their practical use in mobile ad hoc networks, it is necessary to perform field experiments using actual mobile nodes. If the network size is large, it is difficult to perform field experiments due to problems on limited battery, difficulty of topology control and so on. Realization of rapid topology change of the ad hoc networks topology is especially difficult. In order to solve this problem, this paper proposes a testing environment for mobile ad hoc network software, which emulates the field experiments in wired networks. The existing emulators are scenario-driven. So information of locations and movements of nodes from start of the test to end is given in advance. Unlike the existing emulators, the proposed environment adopts scenario-independent mechanism. The proposed environment can control any network topology for routing in mobile ad hoc networks. The proposed environment consists of a positioning server and multiple testing nodes in wired networks. The positioning server virtually configures mobile ad hoc networks and distributes their information such as the node positions to the testing nodes. And testing nodes themselves deliver their position information to the others. By exchanging messages between the server and testing nodes, any network topology for mobile ad hoc networks can be configured and dynamically changed while testing. It is therefore expected to effectively develop and verify routing protocols and applications for mobile ad hoc networks.

A mobile ad hoc network (MANET) is a self-configuring network of mobile devices connected with wireless link. The topology of an ad hoc network changes due to the movement of mobile hosts. In MANETs, the data packet may fail to be delivered or a route is to be established again for various reasons including packet collision, nodes movement and bad channel conditions. The proposed research work intelligent route formation technique in ad hoc networks using node mobility behaviour (IRF-NMB) modifies ad hoc on demand distance vector (AODV) to improve its performance by selecting nodes in a route to destination on the basis of past mobile behavior of nodes. The mobility behavior of nodes in proposed method is modeled using random waypoint model. The performed simulation compares packet delivery ratio versus number of nodes, packet delivery ratio versus node max speed (m/s), end to end delay versus number of nodes, end to end delay node max speed (m/s) of stability routing base on reverse AODV (Hua and Li in International conference on ICCSNT, 2011) and IRF-NMB. Simulation result shows that our scheme improves the routing protocols.

OF DISSERTATION Secure and Authenticated Message Dissemination in Vehicular ad hoc Networks and an Incentive-based Architecture for Vehicular Cloud Vehicular ad hoc Networks (VANETs) allow vehicles to form a self-organized network. VANETs are likely to be widely deployed in the future, given the interest shown by industry in self-driving cars and satisfying their customers various interests. Problems related to Mobile ad hoc Networks (MANETs) such as routing, security, etc. have been extensively studied. Even though VANETs are special type of MANETs, solutions proposed for MANETs cannot be directly applied to VANETs because all problems related to MANETs have been studied for small networks. Moreover, in MANETs, nodes can move randomly. On the other hand, movement of nodes in VANETs are constrained to roads and the number of nodes in VANETs is large and covers typically large area. The following are the contributions of the thesis. Secure, authenticated, privacy preserving message dissemination in VANETs: When vehicles in VANET observe phenomena such as accidents, icy road condition, etc., they need to disseminate this information to vehicles in appropriate areas so the drivers of those vehicles can take appropriate action. When such messages are disseminated, the authenticity of the vehicles disseminating such messages should be verified while at the same time the anonymity of the vehicles should be preserved. Moreover, to punish the vehicles spreading malicious messages, authorities should be able to trace such messages to their senders when necessary. For this, we present an efficient protocol for the dissemination of authenticated messages. Incentive-based architecture for vehicular cloud: Due to the advantages such as flexibility and availability, interest in cloud computing has gained lot of attention in recent years. Allowing vehicles in VANETs to store the collected information in the cloud would facilitate other vehicles to retrieve this information when they need. In this thesis, we present a secure incentive-based architecture for vehicular cloud. Our architecture allows vehicles to collect and store information in the cloud; it also provides a mechanism for rewarding vehicles that contributing to the cloud. Privacy preserving message dissemination in VANETs: Sometimes, it is sufficient to ensure the anonymity of the vehicles disseminating messages in VANETs. We present a privacy preserving message dissemination protocol for VANETs.

Worldwide Interoperability for Microwave Access (Wimax) is power station through which mobile network, commonly known as A Mobile Ad-hoc Network (MANET) is used by the people. A MANET can be described as an infrastructure-less and self-configure network with autonomous nodes. Participated nodes in MANETs move through the network constantly causing frequent topology changes. Designing suitable routing protocols to handle the dynamic topology changes in MANETs can enhance the performance of the network. In this regard, this paper proposes four algorithms for the routing problem in MANETs. First, we propose a new method called Classical Logic-based Routing Algorithm for the routing problem in MANETs. Second is a routing algorithm named Fuzzy Logic-based Routing Algorithm (FLRA). Third, a Reinforcement Learning-based Routing Algorithm is proposed to construct optimal paths in MANETs. Finally, a fuzzy logic-based method is accompanied with reinforcement learning to mitigate existing problems in FLRA. This algorithm is called Reinforcement Learning and Fuzzy Logic-based (RLFLRA) Routing Algorithm. Our proposed approaches can be deployed in dynamic environments and take four important fuzzy variables such as available bandwidth, residual energy, mobility speed, and hop-count into consideration. Simulation results depict that learning process has a great impact on network performance and RLFLRA outperforms other proposed algorithms in terms of throughput, route discovery time, packet delivery ratio, network access delay, and hop-count.