The Experts below are selected from a list of 75 Experts worldwide ranked by ideXlab platform

Zhuo Cheng - One of the best experts on this subject based on the ideXlab platform.

  • Cognitive radio based multiple access algorithm for differential frequency hopping network
    Proceedings - 5th International Conference on Wireless Communications Networking and Mobile Computing WiCOM 2009, 2009
    Co-Authors: Zhuo Cheng, Xiaoxu Qu, Fuping Hu, Shu Yan, Shu Wang, An Li
    Abstract:

    Cognitive radio (CR) is a revolutionary technology of wireless mobile communication. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Differential frequency hopping (DFH) was believed to be an effective FH technique for increasing data rate of HF communication system. The cognitive radio technology is introduced in DFH. And a cognitive radio based multiple access algorithm (ITMA) is proposed. This algorithm is based on the interference temperature model, which is applied to the DHF network with the MAI-tolerant. The scenario simulations of the ITMA DFH network and the conventional DFH network are performed, respectively. The results show that the ITMA DFH network can obtain favorable network performance.

  • COGDFH- A COGNITIVE-BASEDDIFFERENTIALFREQUENCYHOPPING NETWORK
    2009
    Co-Authors: Zhuo Cheng, Shu Wang, Shu Yan
    Abstract:

    Cognitiveradio (CR) is a revolutionary wireless mobile communication technology. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Differential frequency hopping (DFH) is known as an effective FH technique for increasing data rate ofHF communication system. In this study, the cognitive radio technology was applied in DFH, and a CogDFH network was proposed. This network which is built upon the interference temperature model, IC-colorings and IC-indicesofgraphs, was applied to the DHF network with easy build, high robustness and low interference. The scenario simulationsof both Cognitive­ Based DFHNetwork and traditionalDFHwere performed. The results indicate that the network performance can be improved by CR.

  • CogDFH- a Cognitive-Based differential frequency hopping network
    MILCOM 2009 - 2009 IEEE Military Communications Conference, 2009
    Co-Authors: Zhuo Cheng, Shu Wang, Shu Yan
    Abstract:

    Cognitive radio (CR) is a revolutionary wireless mobile communication technology. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Differential frequency hopping (DFH) is known as an effective FH technique for increasing data rate of HF communication system. In this study, the cognitive radio technology was applied in DFH, and a CogDFH network was proposed. This network which is built upon the interference temperature model, IC-colorings and IC-indices of graphs, was applied to the DHF network with easy build, high robustness and low interference. The scenario simulations of both Cognitive-Based DFH Network and traditional DFH were performed. The results indicate that the network performance can be improved by CR.

  • A Novel Power Control Algorithm for Cognitive Radio in Environmental Monitoring
    2008 4th International Conference on Wireless Communications Networking and Mobile Computing, 2008
    Co-Authors: Shu Wang, Zhuo Cheng
    Abstract:

    Cognitive radio (CR) is a revolutionary technology of wireless mobile communication. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Therefore, the efficiency of spectrum can be improved and the capacity of wireless communication system will be increased. The cognitive radio technology is introduced in the environmental monitoring. And a novel power control algorithm is proposed. This algorithm is based on the interference temperature model, the game theory and the second degree iterative water-filling algorithm, which is applied to the environment monitor wireless network with the restricted energy, memory, computing and communication. The scenario simulations of the environmental monitoring based on the novel algorithm and the traditional one are performed, respectively. The results show that the novel algorithm can obtain favorable network performance while the computational time can be reduced notablely.

Shu Yan - One of the best experts on this subject based on the ideXlab platform.

  • Cognitive radio based multiple access algorithm for differential frequency hopping network
    Proceedings - 5th International Conference on Wireless Communications Networking and Mobile Computing WiCOM 2009, 2009
    Co-Authors: Zhuo Cheng, Xiaoxu Qu, Fuping Hu, Shu Yan, Shu Wang, An Li
    Abstract:

    Cognitive radio (CR) is a revolutionary technology of wireless mobile communication. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Differential frequency hopping (DFH) was believed to be an effective FH technique for increasing data rate of HF communication system. The cognitive radio technology is introduced in DFH. And a cognitive radio based multiple access algorithm (ITMA) is proposed. This algorithm is based on the interference temperature model, which is applied to the DHF network with the MAI-tolerant. The scenario simulations of the ITMA DFH network and the conventional DFH network are performed, respectively. The results show that the ITMA DFH network can obtain favorable network performance.

  • COGDFH- A COGNITIVE-BASEDDIFFERENTIALFREQUENCYHOPPING NETWORK
    2009
    Co-Authors: Zhuo Cheng, Shu Wang, Shu Yan
    Abstract:

    Cognitiveradio (CR) is a revolutionary wireless mobile communication technology. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Differential frequency hopping (DFH) is known as an effective FH technique for increasing data rate ofHF communication system. In this study, the cognitive radio technology was applied in DFH, and a CogDFH network was proposed. This network which is built upon the interference temperature model, IC-colorings and IC-indicesofgraphs, was applied to the DHF network with easy build, high robustness and low interference. The scenario simulationsof both Cognitive­ Based DFHNetwork and traditionalDFHwere performed. The results indicate that the network performance can be improved by CR.

  • CogDFH- a Cognitive-Based differential frequency hopping network
    MILCOM 2009 - 2009 IEEE Military Communications Conference, 2009
    Co-Authors: Zhuo Cheng, Shu Wang, Shu Yan
    Abstract:

    Cognitive radio (CR) is a revolutionary wireless mobile communication technology. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Differential frequency hopping (DFH) is known as an effective FH technique for increasing data rate of HF communication system. In this study, the cognitive radio technology was applied in DFH, and a CogDFH network was proposed. This network which is built upon the interference temperature model, IC-colorings and IC-indices of graphs, was applied to the DHF network with easy build, high robustness and low interference. The scenario simulations of both Cognitive-Based DFH Network and traditional DFH were performed. The results indicate that the network performance can be improved by CR.

Shu Wang - One of the best experts on this subject based on the ideXlab platform.

  • Cognitive radio based multiple access algorithm for differential frequency hopping network
    Proceedings - 5th International Conference on Wireless Communications Networking and Mobile Computing WiCOM 2009, 2009
    Co-Authors: Zhuo Cheng, Xiaoxu Qu, Fuping Hu, Shu Yan, Shu Wang, An Li
    Abstract:

    Cognitive radio (CR) is a revolutionary technology of wireless mobile communication. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Differential frequency hopping (DFH) was believed to be an effective FH technique for increasing data rate of HF communication system. The cognitive radio technology is introduced in DFH. And a cognitive radio based multiple access algorithm (ITMA) is proposed. This algorithm is based on the interference temperature model, which is applied to the DHF network with the MAI-tolerant. The scenario simulations of the ITMA DFH network and the conventional DFH network are performed, respectively. The results show that the ITMA DFH network can obtain favorable network performance.

  • COGDFH- A COGNITIVE-BASEDDIFFERENTIALFREQUENCYHOPPING NETWORK
    2009
    Co-Authors: Zhuo Cheng, Shu Wang, Shu Yan
    Abstract:

    Cognitiveradio (CR) is a revolutionary wireless mobile communication technology. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Differential frequency hopping (DFH) is known as an effective FH technique for increasing data rate ofHF communication system. In this study, the cognitive radio technology was applied in DFH, and a CogDFH network was proposed. This network which is built upon the interference temperature model, IC-colorings and IC-indicesofgraphs, was applied to the DHF network with easy build, high robustness and low interference. The scenario simulationsof both Cognitive­ Based DFHNetwork and traditionalDFHwere performed. The results indicate that the network performance can be improved by CR.

  • CogDFH- a Cognitive-Based differential frequency hopping network
    MILCOM 2009 - 2009 IEEE Military Communications Conference, 2009
    Co-Authors: Zhuo Cheng, Shu Wang, Shu Yan
    Abstract:

    Cognitive radio (CR) is a revolutionary wireless mobile communication technology. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Differential frequency hopping (DFH) is known as an effective FH technique for increasing data rate of HF communication system. In this study, the cognitive radio technology was applied in DFH, and a CogDFH network was proposed. This network which is built upon the interference temperature model, IC-colorings and IC-indices of graphs, was applied to the DHF network with easy build, high robustness and low interference. The scenario simulations of both Cognitive-Based DFH Network and traditional DFH were performed. The results indicate that the network performance can be improved by CR.

  • A Novel Power Control Algorithm for Cognitive Radio in Environmental Monitoring
    2008 4th International Conference on Wireless Communications Networking and Mobile Computing, 2008
    Co-Authors: Shu Wang, Zhuo Cheng
    Abstract:

    Cognitive radio (CR) is a revolutionary technology of wireless mobile communication. Smart Users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Therefore, the efficiency of spectrum can be improved and the capacity of wireless communication system will be increased. The cognitive radio technology is introduced in the environmental monitoring. And a novel power control algorithm is proposed. This algorithm is based on the interference temperature model, the game theory and the second degree iterative water-filling algorithm, which is applied to the environment monitor wireless network with the restricted energy, memory, computing and communication. The scenario simulations of the environmental monitoring based on the novel algorithm and the traditional one are performed, respectively. The results show that the novel algorithm can obtain favorable network performance while the computational time can be reduced notablely.

Alexa Spence - One of the best experts on this subject based on the ideXlab platform.

  • Smart grids Smart Users the role of the user in demand side management
    Energy research and social science, 2014
    Co-Authors: Murray Goulden, Benjamin Bedwell, Stefan Rennickegglestone, Tom Rodden, Alexa Spence
    Abstract:

    Smart grids are a key feature of future energy scenarios, with the overarching goal of better aligning energy generation and demand. The work presented here considers the role of the user in such systems, and the contexts in which such roles might emerge. The data used is drawn from focus groups with 72 participants, using novel scenario techniques to contextualise Smart grid technologies in domestic settings. Two contrasting visions of the Smart grid are presented, a centralised system based on current institutional arrangements, and an alternative system in which decentralisation of generation and control is pursued. Using the concepts of ‘energy consumer’ and ‘energy citizen’, the paper considers what forms of engagement are likely to be generated by the two visions. We propose that Smart grid designs must look beyond simply the technology and recognise that a Smart user who is actively engaged with energy is critical to much of what is proposed by demand side management. We conclude that the energy citizen holds out most promise in this regard. The implications of this for policy makers are discussed.

Burak Kantarci - One of the best experts on this subject based on the ideXlab platform.

  • COVERS-UP: Collaborative Verification of Smart User Profiles for social sustainability of Smart cities
    Sustainable Cities and Society, 2018
    Co-Authors: Philip A. K. Lorimer, Victor Ming-fai Diec, Burak Kantarci
    Abstract:

    Abstract Non-dedicated sensing models in Smart cities, such as social sensing, aim at recruiting Smart Users while mobile social platforms’ vulnerability to identity theft attacks introduces the risks of de-incentivizing mobile Users against participating and spreading disinformation through social platforms in case of successful identity theft attempts. In this paper, we present a mobile edge-based collaborative solution against identity theft over social platforms by taking advantage of the convergence of social, wireless, and mobile networks in the 5G Era. The collaborative framework delegates detection of a potential identity theft to other Smart Users who are the connections of the potential victim over a social platform. The collaborating Smart Users are not involved in semantic analysis but are assigned a subset of the contextual features of the Smart user under review. We present thorough performance evaluation by using real social platform data in simulations. The numerical results show that collaboration among Smart Users can reveal anomalous behavior on the social accounts of other participants with a success ratio at the order of >90%. Furthermore, we show that false positive (FP) decisions can be mitigated while false negatives, which are less severe than FPs, can be reduced down to the order of ≤3%.