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Krishan Kumar - One of the best experts on this subject based on the ideXlab platform.
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A Spectrum Handoff Scheme for Optimal Network Selection in NEMO based Cognitive Radio Vehicular Networks: A Cost Function MADM Method based on Grey Theory based Approach
Procedia Computer Science, 2018Co-Authors: Krishan KumarAbstract:Abstract Multiple Attribute Decision Making (MADM) is one of the intelligent Network selection methodologies for Intelligent Transportation System (ITS). The fundamental objective of MADM method is to select the Optimal Network among the finite set of alternative. In this paper, we have proposed a cost function MADM method based on the grey theory based approach which outperforms the existing MADM method for ITS. The method is validated to perform a spectrum handoff for Optimal Network selection in Network Mobility (NEMO) based Cognitive Radio (CR) vehicular Networks. In NEMO based CR vehicular Networks, the Mobile Reuter (MR) requires spectrum handoff when a mobile Network changes its point of attachment in CR vehicular Networks. It becomes difficult for MR to select the Optimal Network from the available access Networks. The application of MADM methods provides wider and optimum choice among the available Networks with quality of service. Numerical results revel that the proposed MADM method is effective for spectrum handoff decision for Optimal Network selection with reduced complexity in NEMO based CR vehicular Networks.
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a spectrum handoff scheme for Optimal Network selection in cognitive radio vehicular Networks a game theoretic auction theory approach
Physical Communication, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:Abstract The recent strides in vehicular Networks have emerged as a convergence of multi radio access Networks having different user preferences, multiple application requirements and multiple device types. In future Cognitive Radio (CR) vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. Hence, it becomes a challenge for CR vehicular node to select the Optimal Network for the spectrum handoff decision. A game theoretic auction theory approach is interdisciplinary effective approach to select the Optimal Network for spectrum handoff. The competition between different CR vehicular node and access Networks can be formulated as multi-bidder bidding to provide its services to CR vehicular node. The game theory is the branch of applied mathematics which make intelligent decision to select the Optimal alternative from predetermined alternatives. Hence, this paper investigates a spectrum handoff scheme for Optimal Network selection using game theoretic auction theory approach in CR vehicular Networks. The paper has also proposed a new cost function based multiple attribute decision making method which outperforms other existing methods. Numerical results revel that the proposed scheme is effective for spectrum handoff for Optimal Network selection among multiple available Networks.
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Full length articleA spectrum handoff scheme for Optimal Network selection in Cognitive Radio vehicular Networks: A game theoretic auction theory approach
Physical Communication, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:The recent strides in vehicular Networks have emerged as a convergence of multi radio access Networks having different user preferences, multiple application requirements and multiple device types. In future Cognitive Radio (CR) vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. Hence, it becomes a challenge for CR vehicular node to select the Optimal Network for the spectrum handoff decision. A game theoretic auction theory approach is interdisciplinary effective approach to select the Optimal Network for spectrum handoff. The competition between different CR vehicular node and access Networks can be formulated as multi-bidder bidding to provide its services to CR vehicular node. The game theory is the branch of applied mathematics which make intelligent decision to select the Optimal alternative from predetermined alternatives. Hence, this paper investigates a spectrum handoff scheme for Optimal Network selection using game theoretic auction theory approach in CR vehicular Networks. The paper has also proposed a new cost function based multiple attribute decision making method which outperforms other existing methods. Numerical results revel that the proposed scheme is effective for spectrum handoff for Optimal Network selection among multiple available Networks.
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A spectrum handoff scheme for Optimal Network selection in Cognitive Radio vehicular Networks
Physical Communication, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:The recent strides in vehicular Networks have emerged as a convergence of multi radio access Networks having different user preferences, multiple application requirements and multiple device types. In future Cognitive Radio (CR) vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. Hence, it becomes a challenge for CR vehicular node to select the Optimal Network for the spectrum handoff decision. A game theoretic auction theory approach is interdisciplinary effective approach to select the Optimal Network for spectrum handoff. The competition between different CR vehicular node and access Networks can be formulated as multi-bidder bidding to provide its services to CR vehicular node. The game theory is the branch of applied mathematics which make intelligent decision to select the Optimal alternative from predetermined alternatives. Hence, this paper investigates a spectrum handoff scheme for Optimal Network selection using game theoretic auction theory approach in CR vehicular Networks. The paper has also proposed a new cost function based multiple attribute decision making method which outperforms other existing methods. Numerical results revel that the proposed scheme is effective for spectrum handoff for Optimal Network selection among multiple available Networks.
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Spectrum handoff scheme with multiple attributes decision making for Optimal Network selection in cognitive radio Networks
Digital Communications and Networks, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:Abstract It is envisaged that in future Cognitive Radio (CR) Networks deployment, multiple radio access Networks may coexist. The Networks may have different characteristics in terms of multiple attributes. CRs will have choices of selecting the Optimal Network out of the available Networks. Optimal Network selection is a challenging task that can be performed by spectrum handoff with Multiple Attribute Decision Making (MADM). The spectrum handoff decision with MADM provides wider and Optimal choice with quality of service. This motivates the devolopment of a spectrum handoff scheme with MADM methods such as simple additive weighting, a technique for order preference by similarity to the ideal solution, a grey relational analysis and a cost function based method, which is the objective of this study. The CR preferences are based on voice, video and data services, called triple play services. The numerical results show that all MADM methods are effective for selecting the Optimal Network for spectrum handoff with a reduced complexity for the spectrum handoff decision. The paper shows that the proposed spectrum handoff scheme can be effectively implemented to select the Optimal Network according to triple play services in CR Networks.
Rajeev Tripathi - One of the best experts on this subject based on the ideXlab platform.
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a spectrum handoff scheme for Optimal Network selection in cognitive radio vehicular Networks a game theoretic auction theory approach
Physical Communication, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:Abstract The recent strides in vehicular Networks have emerged as a convergence of multi radio access Networks having different user preferences, multiple application requirements and multiple device types. In future Cognitive Radio (CR) vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. Hence, it becomes a challenge for CR vehicular node to select the Optimal Network for the spectrum handoff decision. A game theoretic auction theory approach is interdisciplinary effective approach to select the Optimal Network for spectrum handoff. The competition between different CR vehicular node and access Networks can be formulated as multi-bidder bidding to provide its services to CR vehicular node. The game theory is the branch of applied mathematics which make intelligent decision to select the Optimal alternative from predetermined alternatives. Hence, this paper investigates a spectrum handoff scheme for Optimal Network selection using game theoretic auction theory approach in CR vehicular Networks. The paper has also proposed a new cost function based multiple attribute decision making method which outperforms other existing methods. Numerical results revel that the proposed scheme is effective for spectrum handoff for Optimal Network selection among multiple available Networks.
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Full length articleA spectrum handoff scheme for Optimal Network selection in Cognitive Radio vehicular Networks: A game theoretic auction theory approach
Physical Communication, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:The recent strides in vehicular Networks have emerged as a convergence of multi radio access Networks having different user preferences, multiple application requirements and multiple device types. In future Cognitive Radio (CR) vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. Hence, it becomes a challenge for CR vehicular node to select the Optimal Network for the spectrum handoff decision. A game theoretic auction theory approach is interdisciplinary effective approach to select the Optimal Network for spectrum handoff. The competition between different CR vehicular node and access Networks can be formulated as multi-bidder bidding to provide its services to CR vehicular node. The game theory is the branch of applied mathematics which make intelligent decision to select the Optimal alternative from predetermined alternatives. Hence, this paper investigates a spectrum handoff scheme for Optimal Network selection using game theoretic auction theory approach in CR vehicular Networks. The paper has also proposed a new cost function based multiple attribute decision making method which outperforms other existing methods. Numerical results revel that the proposed scheme is effective for spectrum handoff for Optimal Network selection among multiple available Networks.
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A spectrum handoff scheme for Optimal Network selection in Cognitive Radio vehicular Networks
Physical Communication, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:The recent strides in vehicular Networks have emerged as a convergence of multi radio access Networks having different user preferences, multiple application requirements and multiple device types. In future Cognitive Radio (CR) vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. Hence, it becomes a challenge for CR vehicular node to select the Optimal Network for the spectrum handoff decision. A game theoretic auction theory approach is interdisciplinary effective approach to select the Optimal Network for spectrum handoff. The competition between different CR vehicular node and access Networks can be formulated as multi-bidder bidding to provide its services to CR vehicular node. The game theory is the branch of applied mathematics which make intelligent decision to select the Optimal alternative from predetermined alternatives. Hence, this paper investigates a spectrum handoff scheme for Optimal Network selection using game theoretic auction theory approach in CR vehicular Networks. The paper has also proposed a new cost function based multiple attribute decision making method which outperforms other existing methods. Numerical results revel that the proposed scheme is effective for spectrum handoff for Optimal Network selection among multiple available Networks.
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Spectrum handoff scheme with multiple attributes decision making for Optimal Network selection in cognitive radio Networks
Digital Communications and Networks, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:Abstract It is envisaged that in future Cognitive Radio (CR) Networks deployment, multiple radio access Networks may coexist. The Networks may have different characteristics in terms of multiple attributes. CRs will have choices of selecting the Optimal Network out of the available Networks. Optimal Network selection is a challenging task that can be performed by spectrum handoff with Multiple Attribute Decision Making (MADM). The spectrum handoff decision with MADM provides wider and Optimal choice with quality of service. This motivates the devolopment of a spectrum handoff scheme with MADM methods such as simple additive weighting, a technique for order preference by similarity to the ideal solution, a grey relational analysis and a cost function based method, which is the objective of this study. The CR preferences are based on voice, video and data services, called triple play services. The numerical results show that all MADM methods are effective for selecting the Optimal Network for spectrum handoff with a reduced complexity for the spectrum handoff decision. The paper shows that the proposed spectrum handoff scheme can be effectively implemented to select the Optimal Network according to triple play services in CR Networks.
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A Spectrum Handoff Scheme for Optimal Network Selection in NEMO Based Cognitive Radio Vehicular Networks
Wireless Communications and Mobile Computing, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:When a mobile Network changes its point of attachments in Cognitive Radio (CR) vehicular Networks, the Mobile Router (MR) requires spectrum handoff. Network Mobility (NEMO) in CR vehicular Networks is concerned with the management of this movement. In future NEMO based CR vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. The CR vehicular node may have the capability to make call for two or more types of nonsafety services such as voice, video, and best effort simultaneously. Hence, it becomes difficult for MR to select Optimal Network for the spectrum handoff. This can be done by performing spectrum handoff using Multiple Attributes Decision Making (MADM) methods which is the objective of the paper. The MADM methods such as grey relational analysis and cost based methods are used. The application of MADM methods provides wider and optimum choice among the available Networks with quality of service. Numerical results reveal that the proposed scheme is effective for spectrum handoff decision for Optimal Network selection with reduced complexity in NEMO based CR vehicular Networks.
Eytan Modiano - One of the best experts on this subject based on the ideXlab platform.
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INFOCOM - Optimal Network Control in Partially-Controllable Networks
IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, 2019Co-Authors: Qingkai Liang, Eytan ModianoAbstract:The effectiveness of many Optimal Network control algorithms (e.g., BackPressure) relies on the premise that all of the nodes are fully controllable. However, these algorithms may yield poor performance in a partially-controllable Network where a subset of nodes are uncontrollable and use some unknown policy. Such a partially-controllable model is of increasing importance in real-world Networked systems such as overlay-underlay Networks. In this paper, we design Optimal Network control algorithms that can stabilize a partially-controllable Network. We first study the scenario where uncontrollable nodes use a queue-agnostic policy, and propose a low-complexity throughput-Optimal algorithm, called Tracking-MaxWeight (TMW), which enhances the original MaxWeight algorithm with an explicit learning of the policy used by uncontrollable nodes. Next, we investigate the scenario where uncontrollable nodes use a queue-dependent policy and the problem is formulated as an MDP with unknown queueing dynamics. We propose a new reinforcement learning algorithm, called Truncated Upper Confidence Reinforcement Learning (TUCRL), and prove that TUCRL achieves tunable three-way tradeoffs between throughput, delay and convergence rate.
Arun Prakash - One of the best experts on this subject based on the ideXlab platform.
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a spectrum handoff scheme for Optimal Network selection in cognitive radio vehicular Networks a game theoretic auction theory approach
Physical Communication, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:Abstract The recent strides in vehicular Networks have emerged as a convergence of multi radio access Networks having different user preferences, multiple application requirements and multiple device types. In future Cognitive Radio (CR) vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. Hence, it becomes a challenge for CR vehicular node to select the Optimal Network for the spectrum handoff decision. A game theoretic auction theory approach is interdisciplinary effective approach to select the Optimal Network for spectrum handoff. The competition between different CR vehicular node and access Networks can be formulated as multi-bidder bidding to provide its services to CR vehicular node. The game theory is the branch of applied mathematics which make intelligent decision to select the Optimal alternative from predetermined alternatives. Hence, this paper investigates a spectrum handoff scheme for Optimal Network selection using game theoretic auction theory approach in CR vehicular Networks. The paper has also proposed a new cost function based multiple attribute decision making method which outperforms other existing methods. Numerical results revel that the proposed scheme is effective for spectrum handoff for Optimal Network selection among multiple available Networks.
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Full length articleA spectrum handoff scheme for Optimal Network selection in Cognitive Radio vehicular Networks: A game theoretic auction theory approach
Physical Communication, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:The recent strides in vehicular Networks have emerged as a convergence of multi radio access Networks having different user preferences, multiple application requirements and multiple device types. In future Cognitive Radio (CR) vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. Hence, it becomes a challenge for CR vehicular node to select the Optimal Network for the spectrum handoff decision. A game theoretic auction theory approach is interdisciplinary effective approach to select the Optimal Network for spectrum handoff. The competition between different CR vehicular node and access Networks can be formulated as multi-bidder bidding to provide its services to CR vehicular node. The game theory is the branch of applied mathematics which make intelligent decision to select the Optimal alternative from predetermined alternatives. Hence, this paper investigates a spectrum handoff scheme for Optimal Network selection using game theoretic auction theory approach in CR vehicular Networks. The paper has also proposed a new cost function based multiple attribute decision making method which outperforms other existing methods. Numerical results revel that the proposed scheme is effective for spectrum handoff for Optimal Network selection among multiple available Networks.
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A spectrum handoff scheme for Optimal Network selection in Cognitive Radio vehicular Networks
Physical Communication, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:The recent strides in vehicular Networks have emerged as a convergence of multi radio access Networks having different user preferences, multiple application requirements and multiple device types. In future Cognitive Radio (CR) vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. Hence, it becomes a challenge for CR vehicular node to select the Optimal Network for the spectrum handoff decision. A game theoretic auction theory approach is interdisciplinary effective approach to select the Optimal Network for spectrum handoff. The competition between different CR vehicular node and access Networks can be formulated as multi-bidder bidding to provide its services to CR vehicular node. The game theory is the branch of applied mathematics which make intelligent decision to select the Optimal alternative from predetermined alternatives. Hence, this paper investigates a spectrum handoff scheme for Optimal Network selection using game theoretic auction theory approach in CR vehicular Networks. The paper has also proposed a new cost function based multiple attribute decision making method which outperforms other existing methods. Numerical results revel that the proposed scheme is effective for spectrum handoff for Optimal Network selection among multiple available Networks.
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Spectrum handoff scheme with multiple attributes decision making for Optimal Network selection in cognitive radio Networks
Digital Communications and Networks, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:Abstract It is envisaged that in future Cognitive Radio (CR) Networks deployment, multiple radio access Networks may coexist. The Networks may have different characteristics in terms of multiple attributes. CRs will have choices of selecting the Optimal Network out of the available Networks. Optimal Network selection is a challenging task that can be performed by spectrum handoff with Multiple Attribute Decision Making (MADM). The spectrum handoff decision with MADM provides wider and Optimal choice with quality of service. This motivates the devolopment of a spectrum handoff scheme with MADM methods such as simple additive weighting, a technique for order preference by similarity to the ideal solution, a grey relational analysis and a cost function based method, which is the objective of this study. The CR preferences are based on voice, video and data services, called triple play services. The numerical results show that all MADM methods are effective for selecting the Optimal Network for spectrum handoff with a reduced complexity for the spectrum handoff decision. The paper shows that the proposed spectrum handoff scheme can be effectively implemented to select the Optimal Network according to triple play services in CR Networks.
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A Spectrum Handoff Scheme for Optimal Network Selection in NEMO Based Cognitive Radio Vehicular Networks
Wireless Communications and Mobile Computing, 2017Co-Authors: Krishan Kumar, Arun Prakash, Rajeev TripathiAbstract:When a mobile Network changes its point of attachments in Cognitive Radio (CR) vehicular Networks, the Mobile Router (MR) requires spectrum handoff. Network Mobility (NEMO) in CR vehicular Networks is concerned with the management of this movement. In future NEMO based CR vehicular Networks deployment, multiple radio access Networks may coexist in the overlapping areas having different characteristics in terms of multiple attributes. The CR vehicular node may have the capability to make call for two or more types of nonsafety services such as voice, video, and best effort simultaneously. Hence, it becomes difficult for MR to select Optimal Network for the spectrum handoff. This can be done by performing spectrum handoff using Multiple Attributes Decision Making (MADM) methods which is the objective of the paper. The MADM methods such as grey relational analysis and cost based methods are used. The application of MADM methods provides wider and optimum choice among the available Networks with quality of service. Numerical results reveal that the proposed scheme is effective for spectrum handoff decision for Optimal Network selection with reduced complexity in NEMO based CR vehicular Networks.
D P Kothari - One of the best experts on this subject based on the ideXlab platform.
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a novel integration technique for Optimal Network reconfiguration and distributed generation placement in power distribution Networks
International Journal of Electrical Power & Energy Systems, 2014Co-Authors: Mohamed A Imran, M Kowsalya, D P KothariAbstract:Abstract This paper presents a novel integration technique for Optimal Network reconfiguration and distributed generation (DG) placement in distribution system with an objective of power loss minimization and voltage stability enhancement. Fireworks Algorithm (FWA) is used to simultaneously reconfigure and allocate Optimal DG units in a distribution Network. FWA is a new swarm intelligence based optimization algorithm which is conceptualized using the fireworks explosion process of searching for a best location of sparks. The radial nature of the Network is secured by generating proper parent node-child node path of the Network during power flow. Voltage Stability Index (VSI) is used to pre-identify the Optimal candidate locations for DG installation. Six different scenarios are considered during DG placement and reconfiguration of Network to assess the performance of the proposed technique. Simulations are carried out on well-known IEEE 33- and 69-bus test systems at three different load levels. The simulated results demonstrate well the performance and effectiveness of the proposed method.
