The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Alejandro Ribeiro - One of the best experts on this subject based on the ideXlab platform.
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mobile Wireless Network infrastructure on demand
2020Co-Authors: Daniel Mox, Miguel Calvofullana, Mikhail Gerasimenko, Jonathan Fink, Vijay Kumar, Alejandro RibeiroAbstract:In this work, we introduce Mobile Wireless Infrastructure on Demand: a framework for providing Wireless connectivity to multi-robot teams via autonomously reconfiguring ad-hoc Networks. In many cases, previous multi-agent systems either assumed the availability of existing communication infrastructure or were required to create a Network in addition to completing their objective. Instead our system explicitly assumes the responsibility of creating and sustaining a Wireless Network capable of satisfying end-to-end communication requirements of a team of agents, called the task team, performing an arbitrary objective. To accomplish this goal, we propose a joint optimization framework that alternates between finding optimal Network routes to support data flows between the task agents and improving the performance of the Network by repositioning a collection of mobile relay nodes referred to as the Network team. We demonstrate our approach with simulations and experiments wherein Wireless connectivity is provided to patrolling task agents.
Zhu Han - One of the best experts on this subject based on the ideXlab platform.
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cyclic three sided matching game inspired Wireless Network virtualization
2021Co-Authors: Neetu Raveendran, Chunxiao Jiang, Miao Pan, Nguyen H Tran, Lingyang Song, Zhu HanAbstract:Wireless Network virtualization is basically the abstraction, isolation, and sharing of Wireless resources among different entities. Consequently, virtualization provides great flexibility and higher Network efficiency, and enables easier migration to new technologies in Wireless Networks. Traditionally, a Wireless Network virtualization controller manages the virtual resources (including radio resources and infrastructure resources) known as slices which are available to the Service Providers (SPs). The SPs then allocate their purchased resources to serve their subscribed mobile users. Such a centralized allocation decouples the Quality-of-Service (QoS) management by the SPs from the virtual resource management by the controller. In this paper, we propose a matching based Wireless Network virtualization resource allocation mechanism: a distributed three-sided (3D) matching between radio resources, physical infrastructure and mobile users. The Restricted Three-sided Matching with Size and Cyclic preference model (R-TMSC) is implemented to obtain a stable solution. Simulation results show that our proposed spectrum-oriented and user-oriented algorithms outperform the traditional resource allocation schemes. The spectrum-oriented algorithm enhances the user throughput and the system performance, within a lesser run time. Furthermore, for an increasing number of users, the proposed algorithms serve more users than traditional methods.
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Wireless Network slicing generalized kelly mechanism based resource allocation
2019Co-Authors: Yan Kyaw Tun, Nguyen H Tran, Zhu Han, Duy T Ngo, Shashi Raj Pandey, Choong Seon HongAbstract:Wireless Network slicing (i.e., Network virtualization) is one of the potential technologies for addressing the issue of rapidly growing demand in mobile data services related to 5G cellular Networks. It logically decouples the current cellular Networks into two entities: infrastructure providers (InPs) and mobile virtual Network operators (MVNOs). The resources of base stations (e.g., resource blocks, transmission power, and antennas), which are owned by the InP, are shared with multiple MVNOs who need resources for their mobile users. Specifically, the physical resources of an InP are abstracted into multiple isolated Network slices, which are then allocated to MVNO’s mobile users. In this paper, two-level allocation problem in Network slicing is examined while enabling efficient resource utilization, inter-slice isolation (i.e., no interference among slices), and intra-slice isolation (i.e., no interference between users in the same slice). A generalized Kelly mechanism (GKM) is also designed, based on which the upper level of the resource allocation issue (i.e., between the InP and MVNOs) is addressed. The benefit of using such a resource bidding and allocation framework is that the seller (InP) does not need to know the true valuation of the bidders (MVNOs). For solving the lower level of resource allocation issue (i.e., between MVNOs and their mobile users), the optimal resource allocation is derived from each MVNO to its mobile users by using Karush–Kuhn–Tucker (KKT) conditions. Then, bandwidth resources are allocated to the users of MVNOs. Finally, the results of the simulation are presented to verify the theoretical analysis of our proposed two-level resource allocation problem in Wireless Network slicing.
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Wireless Network slicing generalized kelly mechanism based resource allocation
2019Co-Authors: Yan Kyaw Tun, Nguyen H Tran, Zhu Han, Duy T Ngo, Shashi Raj Pandey, Choong Seon HongAbstract:Wireless Network slicing (i.e., Network virtualization) is one of the potential technologies for addressing the issue of rapidly growing demand in mobile data services related to 5G cellular Networks. It logically decouples the current cellular Networks into two entities; infrastructure providers (InPs) and mobile virtual Network operators (MVNOs). The resources of base stations (e.g., resource blocks, transmission power, antennas) which are owned by the InP are shared to multiple MVNOs who need resources for their mobile users. Specifically, the physical resources of an InP are abstracted into multiple isolated Network slices, which are then allocated to MVNO's mobile users. In this paper, two-level allocation problem in Network slicing is examined, whilst enabling efficient resource utilization, inter-slice isolation (i.e., no interference amongst slices), and intra-slice isolation (i.e., no interference between users in the same slice). A generalized Kelly mechanism (GKM) is also designed, based on which the upper level of the resource allocation issue (i.e., between the InP and MVNOs) is addressed. The benefit of using such a resource bidding and allocation framework is that the seller (InP) does not need to know the true valuation of the bidders (MVNOs). For solving the lower level of resource allocation issue (i.e., between MVNOs and their mobile users), the optimal resource allocation is derived from each MVNO to its mobile users by using KKT conditions. Then, bandwidth resources are allocated to the users of MVNOs. Finally, the results of simulation are presented to verify the theoretical analysis of our proposed two-level resource allocation problem in Wireless Network slicing.
Yoshitaka Shibata - One of the best experts on this subject based on the ideXlab platform.
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performance evaluation of software defined and cognitive Wireless Network based disaster resilient system
2015Co-Authors: Goshi Sato, Noriki Uchida, Yoshitaka ShibataAbstract:Through the information Network recovery experience on the East Japan Great Earthquake on March 11, 2011, we learned that the combination of various existing Wireless Network technologies such as satellite IP Network, 3G/LTE, Wi-Fi was useful in term of Network connectivity. In this paper, by integrating those Wireless Networks into a cognitive Wireless Network, user can use this cognitive Network as an access Network to Internet by selecting the best performance Network among the possible Network links even though the serious disaster occurred and some of those Network links were seriously damaged. We also introduce an Open Flow based access Network to automatically control link and route selections within the cognitive Wireless Network to Internet by periodically monitoring and evaluating their Network states. In order to verify the usefulness of our proposed system, a prototype of Open Flow based cognitive Wireless Network system is constructed by connecting the disaster areas in the East Japan Great Earthquake and its performance is evaluated.
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performance evaluation of pc router based cognitive Wireless Network for disaster resilient wans
2014Co-Authors: Goshi Sato, Noriki Uchida, Yoshitaka ShibataAbstract:In order to temporally recover the information Network infrastructure in disaster areas on the East Japan Great Earthquake on March 11, 2011, various Wireless Network technologies such as satellite IP Network, 3G, Wi-Fi were effectively used. However, since those Wireless Networks are individually introduced and installed, but not totally integrated, some of Networks were congested due to the sudden Network traffic generation and unbalanced traffic distribution, eventually the total Network could not effectively function. In this paper, by integrating those Wireless Networks into a cognitive Wireless Network, user can use this cognitive Network as an access Network to Internet by selecting the best Network even though the serious disaster occurred. We introduce an OpenFlow based access Network to automatically select the best Network link and route among the possible access Networks to Internet by periodically monitoring their Network states and evaluate the those using extended AHP method. In order to verify the usefulness of our proposed system, a prototype system is constructed and its performance is evaluated.
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never die Network extended with cognitive Wireless Network for disaster information system
2011Co-Authors: Noriki Uchida, Yoshitaka Shibata, K Takahata, Norio ShiratoriAbstract:In the actual disaster case, there is a certain possibility that electric power line is damaged and power energy cannot be supplied to those communication Network devices, and eventually those Wireless LANs cannot be functioned. Although mobile Wireless Network is easy to reconstruct than wired Network, there may be the case that Network disconnection is not affordable after disaster. That is, Disaster Information System needs a robust Never Die Network (NDN) which will be unaffected by any changes in environment after severe disaster. Satellite Network System is one of possible solution for such a severe disaster, but it has some problems like low throughput, large latency, high cost, and so on. On the other hands, single Wireless communication like IEEE802.11a/b/g also have some problems like a possible transmission distance, throughput limitation for maintaining QoS for urgent user's situations. Therefore, NDN needs to consider about additional functions for these problems of Satellite and Wireless Network System. In this paper, we introduce Satellite System for optimal transmission control method in Cognitive Wireless Network in order to consider with severe disaster. First, as our previous study, proper Wireless link and route selection is held by Extend AHP and Extend AODV with Min-Max AHP value methods for optimal transmission control in Cognitive Wireless Network. Then, check-alive function, alternate data transmission function, possible alternative route suggestion, and Network reconfiguration are introduced to our proposed Disaster Information Network by using Satellite System. In the simulation, ns2 are used for the computational results to the effectiveness of the suggested transmission methods in the hybrid system of cognitive Wireless and satellite Network system.
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optimal route selection method with satellite system for cognitive Wireless Network in disaster information Network
2011Co-Authors: Noriki Uchida, Goshi Sato, K Takahata, Yoshitaka ShibataAbstract:Cognitive Wireless Network consisted of multiple different types of Wireless interface is one of efficient Wireless transmission methods for Disaster Information Network, because it solves single Wireless Network problems like characteristics of Wireless frequency or congestion form the use of same radio frequency. However, even if Disaster Information Network consisted of Cognitive Wireless Network, some of Wireless node might be broken after severe disaster is happened. Therefore, it is necessary to consider about additional functions which the system never die. In this paper, we introduce Satellite System for optimal transmission control method in Cognitive Wireless Network in order to consider with severe disaster. First, as our previous study, proper Wireless link and route selection is held by Extend AHP and Extend AODV with Min-Max AHP value methods for optimal transmission control in Cognitive Wireless Network. Then, check-alive function, alternate data transmission function, possible alternative route suggestion, and Network reconfiguration are introduced to our proposed Disaster Information Network by using Satellite System. In the simulation, ns2 are used for the computational results to the effectiveness of the suggested transmission methods in the hybrid system of cognitive Wireless and satellite Network system.
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min max based ahp method for route selection in cognitive Wireless Network
2010Co-Authors: Noriki Uchida, K Takahata, Xiaolin Zhang, Yoshitaka ShibataAbstract:Cognitive Wireless Network is one of efficient Wireless transmission methods to solve today's Wireless Network problems like a lack of Wireless radio resource or congestion of Wireless bands. However, Cognitive Wireless Network still has some problems to realize like efficient algorisms, control methods, and technical problems to attain efficient transmission. In this paper, the Min-Max based AHP method for route selection in cognitive Wireless Network considering is especially discussed. First, at the observation stage, the physical data such as user policy, electric field strength, bit error rate, jitter, latency, packet error rate, and throughput are observed. Then, at the decision stage, AHP (Analytic hierarchy process) is applied for decision making process with those parameters. Finally, the action stage, one of the suitable links and routes is chosen and changed links and Networks by the results of the proposal methods. In the simulation, ns2 are used for the computational results to the effectiveness of the suggested transmission methods in cognitive Wireless Networks.
Sheng Zhong - One of the best experts on this subject based on the ideXlab platform.
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wormhole attack detection algorithms in Wireless Network coding systems
2015Co-Authors: Shiyu Ji, Tingting Chen, Sheng ZhongAbstract:Network coding has been shown to be an effective approach to improve the Wireless system performance. However, many security issues impede its wide deployment in practice. Besides the well-studied pollution attacks, there is another severe threat, that of wormhole attacks, which undermines the performance gain of Network coding. Since the underlying characteristics of Network coding systems are distinctly different from traditional Wireless Networks, the impact of wormhole attacks and countermeasures are generally unknown. In this paper, we quantify wormholes’ devastating harmful impact on Network coding system performance through experiments. We first propose a centralized algorithm to detect wormholes and show its correctness rigorously. For the distributed Wireless Network, we propose DAWN, a Distributed detection Algorithm against Wormhole in Wireless Network coding systems, by exploring the change of the flow directions of the innovative packets caused by wormholes. We rigorously prove that DAWN guarantees a good lower bound of successful detection rate. We perform analysis on the resistance of DAWN against collusion attacks. We find that the robustness depends on the node density in the Network, and prove a necessary condition to achieve collusion-resistance. DAWN does not rely on any location information, global synchronization assumptions or special hardware/middleware. It is only based on the local information that can be obtained from regular Network coding protocols, and thus the overhead of our algorithms is tolerable. Extensive experimental results have verified the effectiveness and the efficiency of DAWN.
Daniel Mox - One of the best experts on this subject based on the ideXlab platform.
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mobile Wireless Network infrastructure on demand
2020Co-Authors: Daniel Mox, Miguel Calvofullana, Mikhail Gerasimenko, Jonathan Fink, Vijay Kumar, Alejandro RibeiroAbstract:In this work, we introduce Mobile Wireless Infrastructure on Demand: a framework for providing Wireless connectivity to multi-robot teams via autonomously reconfiguring ad-hoc Networks. In many cases, previous multi-agent systems either assumed the availability of existing communication infrastructure or were required to create a Network in addition to completing their objective. Instead our system explicitly assumes the responsibility of creating and sustaining a Wireless Network capable of satisfying end-to-end communication requirements of a team of agents, called the task team, performing an arbitrary objective. To accomplish this goal, we propose a joint optimization framework that alternates between finding optimal Network routes to support data flows between the task agents and improving the performance of the Network by repositioning a collection of mobile relay nodes referred to as the Network team. We demonstrate our approach with simulations and experiments wherein Wireless connectivity is provided to patrolling task agents.