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Author: search.filters.author.Dua, AmitSubject: search.filters.subject.Data dissemination

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Now showing 1 - 4 of 4
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    Learning automata based contention aware data forwarding scheme for safety applications in vehicular Ad Hoc networks
    (IEEE, 2013-12) Dua, Amit
    With an exponential growth of demands of the users to access various resources during mobility lead to the popularity of Vehicular Ad Hoc Networks (VANETs). Users may access various resources from cloud which consists of many resources for the ease of users. VANETs have been used in wide range of applications such as Intelligent Transport Systems (ITS), Safety alarms on roads/in community, online resource access using Internet connectivity etc. Among these applications, safety applications are most important and various proposals exist in literature for the same. But most of the existing proposals have used unicast sender based data forwarding which results an overall performance degradation with respect to the metrics such as packet delivery ratio, end-to-end delay and reliable data transmission. Keeping in view of the above, in this paper, we propose new Learning Automata based Contention Aware Data forwarding scheme for VANETs using cloud infrastructure. Learning Automata (LAs) are assumed to be located in the vehicles which share the information (such as vehicles density, directions of the vehicles or vehicles velocity etc) with the other LAs for taking the adaptive decisions about data forwarding. Based upon these values, automaton performs its action. Corresponding to each action performed by the automaton, its action may be rewarded or penalized by some constant values from the environment where it is working. Based upon the inputs from the environment, each automaton updates its action probability values for the next rounds. An adaptive Learning Automata based Contention Aware Data Forwarding (LACADF) algorithm is also proposed. The proposed scheme is evaluated with respect to different network parameters such as message overhead, throughput, delay etc. with varying density and mobility of the vehicles. The results obtained show that the proposed scheme is better than the other conventional schemes with respect to the above metrics.
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    Efficient TDMA based virtual back off algorithm for adaptive data dissemination in VANETs
    (IEEE, 2014-01) Dua, Amit
    With an exponential growth of Internet related technologies, there is an emergence of new class of efficient data dissemination using Vehicular Ad Hoc networks for the safety of peoples. As there are limited number of channels in IEEE 802.11 a/b/g/p standards, so efficient mechanisms are required to allocate the same for new incoming requests from the users. Keeping in view of the same, we propose a modified TDMA based virtual back off algorithm for VANETs. Vehicles are assumed to be arrived using Poisson distribution and served as exponential. By varying the distance from RSUs, we have provided the analysis of end-to end delay for varying speed of vehicles.
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    An energy efficient data dissemination and information retrieval scheme for VANET
    (IEEE, 2016-02) Dua, Amit
    With the increasing scarcity of resources, the need for energy efficient solutions has reached its pinnacle. Vehicular ad hoc networks (VANETs) is no exception and there is a need for exclusive solutions for energy efficient data dissemination and information retrieval. The proposed scheme classifies the vehicles into different types based on their storage and computation capacity. Cluster heads (CHs) are elected for each energy zone according to type of vehicle, and act as information center. Apart from CHs, the dissemination of data and access of information in efficient and correct manner is made possible with the help of vehicles having high processing capability. The broadcast storm problem that consumes high energy in terms of bandwidth, is solved using proposed game theoretic decision model. The proposed model gives suggestion to vehicles whether to disseminate the information or not based on the current energy situation of the network. Simulation results prove that the proposed model saves energy and time by minimizing the overhead and delay. The network energy is efficiently utilized by achieving higher packet delivery ratio and lower delay than other state-of-art protocols.
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    Game theoretic approach for real-time data dissemination and offloading in vehicular ad hoc networks
    (Springer, 2016-06) Dua, Amit
    Due to high velocity of the vehicles, data dissemination and mobile data offloading are most difficult tasks to be performed in vehicular ad hoc networks (VANETs). In recent years, due to an exponential increase in the data generated from various sources such as smart devices, gadgets, and actuators, there arises a need of usage of an efficient communication infrastructure to handle the aforementioned issues. Most of the earlier solutions reported in the literature for data offloading problem have used the cellular communication, which may be congested in handing a large number of requests from community of users. This may result a performance bottleneck in terms of call drops and data dissemination to the other vehicles in the VANET environment. Also, these schemes lack a comprehensive approach of data dissemination to meet the quality of service (QoS) in real time. Hence, to overcome this problem, some of the mobile data can be disseminated using the existing vehicular infrastructure and Wi-Fi access points (APs). In this paper, we propose a new schedule based on game theoretic approach where the APs and vehicles act as players in a game and compete for offloading the cellular data. The proposed scheme is based on the selection of the best vehicle or AP based on the utility of the players (vehicles and APs) in the game. The utility of vehicle and AP is decided based on the parameters such as distance, velocity, connectivity to destination, bandwidth, and area of the network. A novel algorithm has been designed using the proposed game theoretic approach for handling mobile data offloading and data dissemination. The proposed solution not only successfully offloads the data but also maintains QoS with respect to the parameters such as end-to-end delay, message progress, and message dissemination speed. Results obtained confirm the superiority of the proposal in comparison with the other existing schemes. Specifically, the proposed scheme achieves improvement of 4.16 and 20.5 % in message progress, 18.91 and 4.75 % in extra messages generated, 11.26 and 54.94 % in message dissemination speed, and 78.71 and 87.94 % in end-to-end delay in sparse network as compared to GyTAR and GPCR, respectively.