110 research outputs found

    Cross-layer Balanced and Reliable Opportunistic Routing Algorithm for Mobile Ad Hoc Networks

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    For improving the efficiency and the reliability of the opportunistic routing algorithm, in this paper, we propose the cross-layer and reliable opportunistic routing algorithm (CBRT) for Mobile Ad Hoc Networks, which introduces the improved efficiency fuzzy logic and humoral regulation inspired topology control into the opportunistic routing algorithm. In CBRT, the inputs of the fuzzy logic system are the relative variance (rv) of the metrics rather than the values of the metrics, which reduces the number of fuzzy rules dramatically. Moreover, the number of fuzzy rules does not increase when the number of inputs increases. For reducing the control cost, in CBRT, the node degree in the candidate relays set is a range rather than a constant number. The nodes are divided into different categories based on their node degree in the candidate relays set. The nodes adjust their transmission range based on which categories that they belong to. Additionally, for investigating the effection of the node mobility on routing performance, we propose a link lifetime prediction algorithm which takes both the moving speed and moving direction into account. In CBRT, the source node determines the relaying priorities of the relaying nodes based on their utilities. The relaying node which the utility is large will have high priority to relay the data packet. By these innovations, the network performance in CBRT is much better than that in ExOR, however, the computation complexity is not increased in CBRT.Comment: 14 pages, 17 figures, 31 formulas, IEEE Sensors Journal, 201

    Mutation Based Hybrid Routing Algorithm for Mobile Ad-hoc Networks

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    Mobile Adhoc NETworks (MANETs) usually present challenges such as a highly dynamic topology due to node mobility, route rediscovery process, and packet loss. This leads to low throughput, a lot of energy consumption, delay and low packet delivery ratio. In order to ensure that the route is not rediscovered over and over, multipath routing protocols such as Adhoc Multipath Distance Vector (AOMDV) is used in order to utilize the alternate routes. However, nodes that have low residual energy can die and add to the problem of disconnection of network and route rediscovery. This paper proposes a multipath routing algorithm based on AOMDV and genetic mutation. It takes into account residual energy, hop count, congestion and received signal strength for primary route selection. For secondary path selection it uses residual energy, hop count, congestion and received signal strength together with mutation. The simulation results show that the proposed algorithm gives better performance results compared to AOMDV by 11% for residual energy, 45% throughput, 3% packet delivery ratio, and 63% less delay

    A Survey on Energy Efficient Routing In MANETs Using Multi-Objective Genetic Algorithm

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    Mobile ad hoc networks (MANET) are self-establishing network that contains short radio range and limited bandwidth and they do not have any specified infrastructure. The ad hoc network changes its topology suddenly. In such this type of situation, establishing correct and efficient routes from source to destination is an important design issue in mobile ad hoc networks and its challenging goal is to provide energy efficient routing protocol. For finding the shortest path between the sources to destination, the routing technique genetic algorithm (GA) plays an important role. Such type of routing technique will reduce in finding the route again and again when any failure occurs in the path. Hence, it will take less time in sending again the packet to the destination and therefore it results in increasing throughput in the Mobile Ad hoc Network. In this paper, we have discussed the routing protocols, its classifications, advantage and disadvantages of the routing protocols and taxonomy of energy efficient routing protocols in Mobile Ad hoc network. DOI: 10.17762/ijritcc2321-8169.160411

    Energy Aware Ant Colony Optimization (ENAANT) to Enhance Throughput in Mobile Ad hoc Networks

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    Mobile Ad hoc Network (MANET) is a network of mobile nodes having communication without a predefined infrastructure. The applications of MANETs are increasing from home appliances to defense communications. As the mobile nodes are operated by the batteries, all the processes which are taking place in the node should aware of the consumed energy. Maintaining the link stability is one of the challenges and it is one of the factors to ensure the high throughput in the networks. Due to the limited energy, the links of the networks often goes off which affects the throughput of MANETs. Energy aware ACO is proposed to optimize the utilization of energy that is available in the mobile nodes to increase throughput by ensuring link stability. Based on the remaining energy and the amount of packets to be sent, the nodes are selected for routing. The simulation is done through Network Simulator 2 and the results show that the proposed research work performs well in increasing the throughput

    Exclusion of Wormhole and Blackhole Attacks in Manets using Fuzzy Lamport Timestamp Algorithm

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    Security for any network is a primary concern as it is necessary to safeguard the resources that are being shared. A mobile ad-hoc network (MANET) enables the mobile devices to form a temporary network without any centralized infrastructure. MANET is vulnerable to several attacks, e.g. wormhole and blackhole attacks. Since there is increase in use of wireless communication, minimizing the intruders in wireless networks has been a high priority task. These attacks affect directly the performance of network. Eliminating such attacks in MANET is a challenging task. In this paper, a novel method that excludes the packets of wormhole and blackhole attacks in a MANET using fuzzy Lamport timestamp algorithm (FLTA) is proposed. The proposed FLTA is used to identify the order of event and to make synchronization of time clock in network device. The Lamport timestamp algorithm incorporates a fuzzy inference system to improve the performance of network. The simulated results of the proposed algorithm are compared with that of LTAWB [13] and SMTWB [12] for wormhole and blackhole attacks. It is observed that the proposed FLTA shows better performance as compared to LTAWB and SMTWB protocols in terms of throughput, end-to-end delay and packet delivery ratio

    Maintaining Path Stability with Node Failure in Mobile Ad Hoc Networks

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    AbstractAs the demand for mobile ad hoc wireless network (MANET) applications grows, so does their use for many important services where reliability and stability of the communication paths are of great importance. Therefore, a MANET must be able to establish reliable communication channels which are protected by failure recovery protocols. One approach for existing failure recovery protocols is based on using backup paths, or multi-paths. This technique provides for more stable communication channels for wireless services, in particular for MANET applications. But work on such multi-path protocols has focused on stability in the presence of link failure for MANETs. In this paper, we extend such protocols to maintain connection stability in the presence of node failure. Our work is focused on protecting the route of mobile wireless communications in the presence of node failure in order to improve their use in MANETs applications by discovering efficient stable communication channels with longer lifetimes and increased number of packets delivered

    A Balanced Battery Usage Routing Protocol to Maximize Network Lifetime of MANET Based on AODV

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    International audienceEnergy efficiency is a critical issue for battery-powered mobile devices in ad hoc networks. Failure of node or link allows re-routing and establishing a new path from source to destination which creates extra energy consumption of nodes, sparse network connectivity and a more likelihood occurrences of network partition. Routing based on energy related parameters is one of the important solutions to extend the lifetime of the network. In this paper, we are designing and evaluating a novel energy aware routing protocol called a balanced battery usage routing protocol (BBU) which uses residual energy, hop count and energy threshold as a cost metric to maximize network life time and distribute energy consumption of Mobile Ad hoc Network (MANET) based on Ad hoc on-demand Distance Vector (AODV).The new protocol is simulated using Network Simulator-2.34 and comparisons are made to analyze its performance based on network lifetime, delivery ratio, normalized routing overhead, standard deviation of residual energy of all Nodes and average end to end delay for different network scenarios. The results show that the new energy aware algorithm makes the network active for longer interval of time once it is established and fairly distribute energy consumption across nodes on the network

    Recent Developments on Mobile Ad-Hoc Networks and Vehicular Ad-Hoc Networks

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    This book presents collective works published in the recent Special Issue (SI) entitled "Recent Developments on Mobile Ad-Hoc Networks and Vehicular Ad-Hoc Networks”. These works expose the readership to the latest solutions and techniques for MANETs and VANETs. They cover interesting topics such as power-aware optimization solutions for MANETs, data dissemination in VANETs, adaptive multi-hop broadcast schemes for VANETs, multi-metric routing protocols for VANETs, and incentive mechanisms to encourage the distribution of information in VANETs. The book demonstrates pioneering work in these fields, investigates novel solutions and methods, and discusses future trends in these field

    Topology Control, Routing Protocols and Performance Evaluation for Mobile Wireless Ad Hoc Networks

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    A mobile ad-hoc network (MANET) is a collection of wireless mobile nodes forming a temporary network without the support of any established infrastructure or centralized administration. There are many potential applications based the techniques of MANETs, such as disaster rescue, personal area networking, wireless conference, military applications, etc. MANETs face a number of challenges for designing a scalable routing protocol due to their natural characteristics. Guaranteeing delivery and the capability to handle dynamic connectivity are the most important issues for routing protocols in MANETs. In this dissertation, we will propose four algorithms that address different aspects of routing problems in MANETs. Firstly, in position based routing protocols to design a scalable location management scheme is inherently difficult. Enhanced Scalable Location management Service (EnSLS) is proposed to improve the scalability of existing location management services, and a mathematical model is proposed to compare the performance of the classical location service, GLS, and our protocol, EnSLS. The analytical model shows that EnSLS has better scalability compared with that of GLS. Secondly, virtual backbone routing can reduce communication overhead and speedup the routing process compared with many existing on-demand routing protocols for routing detection. In many studies, Minimum Connected Dominating Set (MCDS) is used to approximate virtual backbones in a unit-disk graph. However finding a MCDS is an NP-hard problem. In the dissertation, we develop two new pure localized protocols for calculating the CDS. One emphasizes forming a small size initial near-optimal CDS via marking process, and the other uses an iterative synchronized method to avoid illegal simultaneously removal of dominating nodes. Our new protocols largely reduce the number of nodes in CDS compared with existing methods. We show the efficiency of our approach through both theoretical analysis and simulation experiments. Finally, using multiple redundant paths for routing is a promising solution. However, selecting an optimal path set is an NP hard problem. We propose the Genetic Fuzzy Multi-path Routing Protocol (GFMRP), which is a multi-path routing protocol based on fuzzy set theory and evolutionary computing
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