Self adaptive proactive routing scheme for mobile ad-hoc networks

What's hot

Network topologies

amitaranadelhi1

Ns2 2015 2016 ieee project list-(v)_with abstract(S3 Infotech:9884848198)

S3 Infotech IEEE Projects

This paper proposes an improved handover algorithm method for vehicle location prediction (VLP-HA) using mobility prediction database. The main advantage of this method is the mobility prediction database is based on real traffic data traces. Furthermore, the proposed method has the ability to reduce handover decision time and solve resource allocation problem. The algorithm is simple and can be computed very rapidly; thus, its implementation for a high-speed vehicle is possible. To evaluate the effectiveness of the proposed method, QualNet simulation is carried out under different velocity scenarios. Its performance is compared with conventional handover method. The superiority of the proposed method over conventional handover method in deciding the best handover location and choosing candidate access points is highlighted by simulation. It was found that VLP-HA has clearly reduced handover delay by 45% compared to handover without VLP, give high accuracy, hence low complexity algorithm.

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Wireless Sensor Network is a collection of various sensor nodes with sensing and communication capabilities. Clustering is the process of grouping the set of objects so that the objects in the same group are similar to each other and different to objects in the other group. The main goal of Data Aggregation is to collect and aggregate the data by maintaining the energy efficiency so that the network lifetime can be increased. In this paper, I have presented a comprehensive review of various clustering routing protocols for WSN, their advantages and limitation of clustering in WSN. A brief survey of Data Aggregation Algorithm is also outlined in this paper. Finally, I summarize and conclude the paper with some future directions

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Engr MUHAMMAD LUQMAN

Impact of location popularity on throughput and delay in mobile ad hoc networks +91-9994232214,8144199666, ieeeprojectchennai@gmail.com, www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2015-2016 ----------------------------------- Contact:+91-9994232214,+91-8144199666 Email:ieeeprojectchennai@gmail.com Support: ------------- Projects Code Documentation PPT Projects Video File Projects Explanation Teamviewer Support

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ieeeprojectschennai

IEEE 2015 NS2 Projects

Vijay Karan

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In a wireless ad hoc network, an opportunistic routing strategy is a strategy where there is no predefined rule for choosing the next node to destination (as it is the case in conventional schemes such as OLSR, DSR or even Geo-Routing). A popular example of opportunistic routing is the “delay tolerant” forwarding to VANET network when a direct path to destination does not exist. Conventional routing in this case would just “drop” the packet. With opportunistic routing, a node acts upon the available information, In this thesis optimize the routing by centrality information then refine by ant colony metaheuristics. In this method validate our approach on different parameter like overhead, throughput.

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In this paper, a dynamic K-means algorithm to improve the routing process in Mobile Ad-Hoc networks (MANETs) is presented. Mobile ad-hoc networks are a collocation of mobile wireless nodes that can operate without using focal access points, pre-existing infrastructures, or a centralized management point. In MANETs, the quick motion of nodes modifies the topology of network. This feature of MANETS is lead to various problems in the routing process such as increase of the overhead massages and inefficient routing between nodes of network. A large variety of clustering methods have been developed for establishing an efficient routing process in MANETs. Routing is one of the crucial topics which are having significant impact on MANETs performance. The K-means algorithm is one of the effective clustering methods aimed to reduce routing difficulties related to bandwidth, throughput and power consumption. This paper proposed a new K-means clustering algorithm to find out optimal path from source node to destinations node in MANETs. The main goal of proposed approach which is called the dynamic K-means clustering methods is to solve the limitation of basic K-means method like permanent cluster head and fixed cluster members. The experimental results demonstrate that using dynamic K-means scheme enhance the performance of routing process in Mobile ad-hoc networks.

Dynamic K-Means Algorithm for Optimized Routing in Mobile Ad Hoc Networks

IJCSES Journal

A research work without considering the power constraint cannot be conceded a fine contribution towards Mobile Ad Hoc Networks (MANET). As MANET comes into action for some special purpose, but its fugacity sometimes result degrades in network performance. Although the many prominent features of MANET like mobility, dynamic change in topology, multi radio relaying, quickly lay down the network without depending upon fixed infrastructures and many more provides tremendous flexibilities for the end user but challenges like limited power constraint, reliable data communication, band width utilization , network performance and throughput are still needed to be handle very sensibly. As limited battery power and inefficient routing protocol mechanism are high prone to network partition, in such case the network needs to be established more than once. Because communication establishment involves many costly operations like route discovery and route maintenance. The more the network partition the more the packet drops and packet loss which indeed requires a number of retransmission of packets, consuming network bandwidth as well as depleting battery power of individual nodes with a higher rate, which are the major destructive elements in network performance degradation as well as the major cause of reducing individual node’s life time and network life time. So with all caveat in mind, we have proposed a novel Grid Based Dynamic Energy Efficient Routing (GBDEER) approach which is aimed to construct an energy efficient path from source to destination based on grid area, where each grid will have three deferent levels of transmission power. Every grid will have its own grid supervisor node who will take the responsibility during data communication, especially when the data is been passed through that specific grid. And keeping the dynamic nature of MANET in mind, we have also provide the feature of grid subordinate node, who will take the place of grid supervisor in case the supervisor is moving out of the grid area or running out of energy from certain threshold level. So we our proposed method not only establishes an energy efficient path but also concerned a dedicated path which can be used for data communication for a long period of time without any network partition. Hence this approach will be less prone to all those problems mentions above by the incorporating an efficient mobility handling mechanism.

A Novel Grid Based Dynamic Energy Efficient Routing Approach for Highly Dense...

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Research on mobile ad-hoc networks (MANETs) is increasing in popularity due to its rapid, budget-friendly, and easily altered implementation, and relevance to emergencies such as forest firefighting and health care provisioning. The main concerns that ad-hoc networks face is dynamic topology, energy usage, packet drop rate, and throughput. Routing protocol selection is a critical point to surmount alterations in topology and maintain quality in MANET networks. The effectiveness of any network can be vastly enhanced with a well-designed routing protocol. In recent decades, standard MANET protocols have not been able to keep pace with growing demands for MANET applications. The current study investigates and contrasts ant colony optimization (ACO) with various routing protocols. This paper compares ad-hoc on-demand multi-path distance vector (AOMDV), dynamic source routing protocol (DSR), ad-hoc on-demand distance vector routing (AODV), and AntHocNet protocols regarding the quality of service (QoS) and statistical analysis. The current research aims to study the behavior of the state-of-the-art MANET protocols with the ACO technique. The ACO technique is a hybrid technique, integrating a reactive route maintaining technique with a proactive method. The reason and motivation for including the ACO algorithm in the current study is to improve by using optimization algorithms proved in other domains. The ACO algorithm appears to have substantial use in large-scale MANET simulation.

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Abstract + Poster (MSc Thesis)

Louis Abalu

We consider models of telecommunication systems that incorporate probability, dense real-time and data. We present a new formal abstraction method for computing minimum and maximum reachability probabilities for such models. Our approach uses strictly local formal abstract steps to reduce both the size of abstract specifications generated and the complexity of operations needed, in comparison to previous approaches of this kind. A selection of large case studies are implemented the techniques and evaluate, which include some infinite-state probabilistic real time models, demonstrating improvements over existing tools in several cases. The capacity of metro and access networks are extended the reach and split ratio of the conventional Long - Reach Passive Optical Networks (LR-PONs). The efficient solutions of LR-PONs are appeared in feeder distances around 100km and high split ratios up to 1000-way . Among many existing approaches, one of the most effective options to improve network performance in LR-PONs are the multi-thread based dynamic bandwidth allocation (DBA) scheme where several bandwidth allocation processes are performed in parallel is considered. Without proper intercommunication between the overlapped threads, multi-thread DBA may lose efficiency and even perform worse than the conventional single thread algorithm. Real Time Probabilistic Systems are used to evaluate a typical PON systems performance. This approach is more convenient, flexible, and lower cost than the former simulation method, which do not need develop special hardware and software tools. Moreover, how changes in performance depend on changes in the particular modes can be easily analysis by supplying ranges for parameter values. The proposed algorithm with traditional DBA is compared, and shows its advantage on average packet delay. The key parameters of the algorithm are analysed and optimized, such as initiating and tuning multiple threads, inter -thread scheduling, and fairness among users. The algorithms advantage in numerical results are decreased the average packet delay and improve network throughput under varying offered loads.

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A wireless ad hoc network is a sovereign system in which users can communicate with each other freely. It can be deployed rapidly at a very low cost, and can be easily managed and extended. Topology management has main objective to maintain a topology connectivity that improves wireless network performance by minimizing energy consumption. Also Topology control with cooperative communication was recently research initiated .Cooperative Communication (CC) is a technique that allows no. of nodes to simultaneously transmit the same data. It can save power and extend transmission coverage. Topology management with cooperative communication is new research initiated in the field of Mobile Ad-hoc Network. In this paper, we analyze the effect of multi-traffic on the topology managed MANET. We implemented some applications on different mobility models that is OLSR move and random mobility. To simulate all scenario OPNET 14.5 software is used. OPNET is a comprehensive suite of tools for modelling large wired and wireless networks. It uses simulation and emulation to predict the behaviour and performance of networks to improve their design, operation and management. In the first part of paper, implemented the existed network on the OPNET simulator and evaluate the performance (Download Response Time, Traffic Send and Traffic Receive) of OLSR move based topology control network. In the second part of paper, evaluated the QoS performanc (Delay, Download Response Time, Traffic Send and Receive Response) of Random Mobility based topology control network. From the simulation results we observed that compare with OLSR move models, the Random mobility model performance is good. We implemented different traffic pattern on two Topology managed MANET. In the third part of paper, implemented the dynamic traffic pattern like Email, FTP & Voice and video conferencing on the proposed network. Simulation results show that FTP and E-mail both have large download response time in case of OLSR move model rather than Random Mobility model. Traffic send and receive performance of email is good in OLSR-move model. Video Conferencing has good response of traffic send and receive in Random Mobility model.

Performance Comparison of Different Mobility Model on Topology Managed MANET

Eswar Publications

We propose in this paper a simulation implementation of Self-Organizing Networks (SON) optimization related to mobility load balancing (MLB) for LTE systems using ns-3 [1]. The implementation is achieved toward two MLB algorithms dynamically adjusting handover (HO) parameters based on the Reference Signal Received Power (RSRP) measurements. Such adjustments are done with respect to loads of both an overloaded cell and its cells’ neighbours having enough available resources enabling to achieve load balancing. Numerical investigations through selected key performance indicators (KPIs) of the proposed MLB algorithms when compared with another HO algorithm (already implemented in ns-3) based on A3 event [2] highlight the significant MLB gains provided in terms global network throughput, packet loss rate and the number of successful HO without incurring significant overhead.

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Battlefield theater applications require supporting large number of nodes. It can facilitate many multi-hop paths between each source and destination pairs. For scalability, it is critical that for supporting network centric applications with large set of nodes require hierarchical approach to designing networks. In this research we consider using Mobile Ad Hoc Network (MANET) with multiple clusters. Each cluster supports a few nodes with a cluster head. The intra-cluster connectivity amongst the nodes within the cluster is supported by multi-hop connectivity to ensure handling mobility in such a way that no service disruption can occur. The inter-cluster connectivity is also achieved by multi-hop connectivity. However, for inter-cluster communications, only cluster heads are connected. The selection of intra-cluster communications and inter-cluster communications allow scalability of the network to support multiservices applications end-to-end with a desired Quality of Service (QoS). This paper proposes graph theoretic approach to establish efficient connection between a source and a destination within each cluster in intra-cluster network and between clusters in inter-cluster network. Graph theoretic approach traditionally was applied networks where nodes are static or fixed. In this paper, we have applied the graph theoretic routing to MANET where nodes are mobile. One of the important challenges in MANET is to support an efficient routing algorithm for multi-hop communications across many nodes which are dynamic in nature. However, dynamic behavior of the nodes requires greater understanding of the node degree and mobility at each instance of time in order to maintain end-to-end QoS for multi-service provisioning. This paper demonstrates graph theoretic approach produces an optimum multi-hop connectivity path based on cumulative minimum degree that minimizes the contention and scheduling delay end-to-end. It is applied to both intra-cluster communications as well as inter-cluster communications. The performance shows that having a multi-hop connectivity for intra-cluster communications is more power efficient compared to broadcast of information with maximum power coverage. Each cluster performs similarly and the algorithm is also used for inter-cluster communications. Our simulation results show that the proposed graph theoretic routing approach will reduce the overall delay and improves the physical layer data frame transmission.

GRAPH THEORETIC ROUTING ALGORITHM (GTRA) FOR MOBILE AD-HOC NETWORKS (MANET)

graphhoc

The wireless mobile ad hoc network (MANET) architecture is one consisting of a set of mobile hosts capable of communicating with each other without the assistance of base stations. This has made possible creating a mobile distributed computing environment and has also brought several new challenges in distributed protocol design. In this paper, we study a very fundamental problem, the fault tolerance problem, in a MANET environment and propose a minimum process coordinated checkpointing scheme. Since potential problems of this new environment are insufficient power and limited storage capacity, the proposed scheme tries to reduce the amount of information saved for recovery. The MANET structure used in our algorithm is hierarchical based. The scheme is based for Cluster Based Routing Protocol (CBRP) which belongs to a class of Hierarchical Reactive routing protocols. The protocol proposed by us is nonblocking coordinated checkpointing algorithm suitable for ad hoc environments. It produces a consistent set of checkpoints; the algorithm makes sure that only minimum number of nodes in the cluster are required to take checkpoints; it uses very few control messages. Performance analysis shows that our algorithm outperforms the existing related works and is a novel idea in the field. Firstly, we describe an organization of the cluster. Then we propose a minimum process coordinated checkpointing scheme for cluster based ad hoc routing protocols.

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An Ad hoc network is a collection of wireless mobile hosts forming a temporary network without the aid of any centralized administration or standard support services. MANET can be defined using unstable network infrastructure, self-organizing network topology and independent node mobility. This becomes obtainable due to their routing techniques; in other terms, routing is a backbone for MANET. However, due to network load routing performance of MANET is degraded thus, some optimization on network routing strategy is required. In this paper, we introduce a new technique by using the concept of Genetic algorithm (GA) with AODV Protocol to make routing decision in computer network. The goal of this paper is to find the optimal path between the source and destination nodes and increased the QoS and Throughput. We implemented and compare this a new technique with the traditional AODV, and we shows that the new technique is better performance than the traditional AODV.

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