Wireless Connectivity

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 40515 Experts worldwide ranked by ideXlab platform

Edson Dos Santos Moreira - One of the best experts on this subject based on the ideXlab platform.

  • WCNC - Social and location-based collaboration mechanism to manage Wireless Connectivity context data
    2012 IEEE Wireless Communications and Networking Conference (WCNC), 2012
    Co-Authors: Roberto Rigolin F. Lopes, Bert-jan Van Beijnum, Azzedine Boukerche, Edson Dos Santos Moreira
    Abstract:

    This paper address the challenge of design a feasible social-based mechanism to manage Wireless mobile Connectivity. In a previous work, we proposed a methodology to share Connectivity experiences among mobile users inside on-line social networks [11]. The aim was explore peoples social circles to enhance their Wireless Connectivity experiences e.g., QoS metrics such as: throughput, latency and signal quality. In this paper, details of the mashups, between Wireless Connectivity context data and location-based social media, are provided. We report how this data is handled using complex networks metrics e.g., vertex's strength and centrality degree, to identify high density handover areas, define the mobile users' reputation and to reveal the networks' coverage. Real experiments showed that collaboration can improve QoS metrics from ∼18 to ∼30% if compared to just use a mobility predictor or a modern operational system, respectively. The discussion unfolds with focus on the collaboration's efficiency as function of time, number of users, discovered area size and mobility patterns.

  • WiMob - Towards a feasible social-based methodology to manage Wireless Connectivity context data
    2011 IEEE 7th International Conference on Wireless and Mobile Computing Networking and Communications (WiMob), 2011
    Co-Authors: Roberto Rigolin F. Lopes, Bert-jan Van Beijnum, Edson Dos Santos Moreira
    Abstract:

    Wireless Connectivity context data is composed by date, time, geographical localization, and QoS metrics, to cite the most common. These data are employed, in a particular way, by fundamental techniques for context-aware Connectivity management, e.g. mobility predictors, handoff mechanisms and mobility management. For instance, mobility and QoS predictors use, as input, previous georeferenced network context data. Normally, context data are available in hardly updated databases with considerable size. In this paper, we propose a social-based methodology to allow mobile users collaborate to discover Wireless Connectivity islands. The methodology is composed by methods to gather, combine, summarize and share context data inside the users' social circles. We, also, designed a schema to mashup context data with location-based social media. It is result of a prototyping effort and we focus the discussion on its feasibility and limitations in terms of storage size, power consumption and QoS metrics.

  • Community-based approach to handle Wireless Connectivity context data
    2010
    Co-Authors: Roberto Rigolin F. Lopes, Bert-jan Van Beijnum, Edson Dos Santos Moreira
    Abstract:

    Connectivity management in heterogeneous Wireless networks can be done combining context-aware techniques, aiming at perform optimal handovers. For instance, mobility and QoS predictors use, as input, georeferenced historical network context data. Moreover, the predictor's accuracy is strongly related to the quality of this required data set. In this work we propose a community-based solution to allow mobile users collaborate to discover Wireless Connectivity islands. Also, we introduce a smart way to summarize and delivery Connectivity context data. It is result of a prototying effort and we focus the discussion on its feasibility in terms of storage size, power consumption and QoS metrics.

Roberto Rigolin F. Lopes - One of the best experts on this subject based on the ideXlab platform.

  • WCNC - Social and location-based collaboration mechanism to manage Wireless Connectivity context data
    2012 IEEE Wireless Communications and Networking Conference (WCNC), 2012
    Co-Authors: Roberto Rigolin F. Lopes, Bert-jan Van Beijnum, Azzedine Boukerche, Edson Dos Santos Moreira
    Abstract:

    This paper address the challenge of design a feasible social-based mechanism to manage Wireless mobile Connectivity. In a previous work, we proposed a methodology to share Connectivity experiences among mobile users inside on-line social networks [11]. The aim was explore peoples social circles to enhance their Wireless Connectivity experiences e.g., QoS metrics such as: throughput, latency and signal quality. In this paper, details of the mashups, between Wireless Connectivity context data and location-based social media, are provided. We report how this data is handled using complex networks metrics e.g., vertex's strength and centrality degree, to identify high density handover areas, define the mobile users' reputation and to reveal the networks' coverage. Real experiments showed that collaboration can improve QoS metrics from ∼18 to ∼30% if compared to just use a mobility predictor or a modern operational system, respectively. The discussion unfolds with focus on the collaboration's efficiency as function of time, number of users, discovered area size and mobility patterns.

  • WiMob - Towards a feasible social-based methodology to manage Wireless Connectivity context data
    2011 IEEE 7th International Conference on Wireless and Mobile Computing Networking and Communications (WiMob), 2011
    Co-Authors: Roberto Rigolin F. Lopes, Bert-jan Van Beijnum, Edson Dos Santos Moreira
    Abstract:

    Wireless Connectivity context data is composed by date, time, geographical localization, and QoS metrics, to cite the most common. These data are employed, in a particular way, by fundamental techniques for context-aware Connectivity management, e.g. mobility predictors, handoff mechanisms and mobility management. For instance, mobility and QoS predictors use, as input, previous georeferenced network context data. Normally, context data are available in hardly updated databases with considerable size. In this paper, we propose a social-based methodology to allow mobile users collaborate to discover Wireless Connectivity islands. The methodology is composed by methods to gather, combine, summarize and share context data inside the users' social circles. We, also, designed a schema to mashup context data with location-based social media. It is result of a prototyping effort and we focus the discussion on its feasibility and limitations in terms of storage size, power consumption and QoS metrics.

  • Community-based approach to handle Wireless Connectivity context data
    2010
    Co-Authors: Roberto Rigolin F. Lopes, Bert-jan Van Beijnum, Edson Dos Santos Moreira
    Abstract:

    Connectivity management in heterogeneous Wireless networks can be done combining context-aware techniques, aiming at perform optimal handovers. For instance, mobility and QoS predictors use, as input, georeferenced historical network context data. Moreover, the predictor's accuracy is strongly related to the quality of this required data set. In this work we propose a community-based solution to allow mobile users collaborate to discover Wireless Connectivity islands. Also, we introduce a smart way to summarize and delivery Connectivity context data. It is result of a prototying effort and we focus the discussion on its feasibility in terms of storage size, power consumption and QoS metrics.

Bert-jan Van Beijnum - One of the best experts on this subject based on the ideXlab platform.

  • WCNC - Social and location-based collaboration mechanism to manage Wireless Connectivity context data
    2012 IEEE Wireless Communications and Networking Conference (WCNC), 2012
    Co-Authors: Roberto Rigolin F. Lopes, Bert-jan Van Beijnum, Azzedine Boukerche, Edson Dos Santos Moreira
    Abstract:

    This paper address the challenge of design a feasible social-based mechanism to manage Wireless mobile Connectivity. In a previous work, we proposed a methodology to share Connectivity experiences among mobile users inside on-line social networks [11]. The aim was explore peoples social circles to enhance their Wireless Connectivity experiences e.g., QoS metrics such as: throughput, latency and signal quality. In this paper, details of the mashups, between Wireless Connectivity context data and location-based social media, are provided. We report how this data is handled using complex networks metrics e.g., vertex's strength and centrality degree, to identify high density handover areas, define the mobile users' reputation and to reveal the networks' coverage. Real experiments showed that collaboration can improve QoS metrics from ∼18 to ∼30% if compared to just use a mobility predictor or a modern operational system, respectively. The discussion unfolds with focus on the collaboration's efficiency as function of time, number of users, discovered area size and mobility patterns.

  • WiMob - Towards a feasible social-based methodology to manage Wireless Connectivity context data
    2011 IEEE 7th International Conference on Wireless and Mobile Computing Networking and Communications (WiMob), 2011
    Co-Authors: Roberto Rigolin F. Lopes, Bert-jan Van Beijnum, Edson Dos Santos Moreira
    Abstract:

    Wireless Connectivity context data is composed by date, time, geographical localization, and QoS metrics, to cite the most common. These data are employed, in a particular way, by fundamental techniques for context-aware Connectivity management, e.g. mobility predictors, handoff mechanisms and mobility management. For instance, mobility and QoS predictors use, as input, previous georeferenced network context data. Normally, context data are available in hardly updated databases with considerable size. In this paper, we propose a social-based methodology to allow mobile users collaborate to discover Wireless Connectivity islands. The methodology is composed by methods to gather, combine, summarize and share context data inside the users' social circles. We, also, designed a schema to mashup context data with location-based social media. It is result of a prototyping effort and we focus the discussion on its feasibility and limitations in terms of storage size, power consumption and QoS metrics.

  • Community-based approach to handle Wireless Connectivity context data
    2010
    Co-Authors: Roberto Rigolin F. Lopes, Bert-jan Van Beijnum, Edson Dos Santos Moreira
    Abstract:

    Connectivity management in heterogeneous Wireless networks can be done combining context-aware techniques, aiming at perform optimal handovers. For instance, mobility and QoS predictors use, as input, georeferenced historical network context data. Moreover, the predictor's accuracy is strongly related to the quality of this required data set. In this work we propose a community-based solution to allow mobile users collaborate to discover Wireless Connectivity islands. Also, we introduce a smart way to summarize and delivery Connectivity context data. It is result of a prototying effort and we focus the discussion on its feasibility in terms of storage size, power consumption and QoS metrics.

D.g. Leeper - One of the best experts on this subject based on the ideXlab platform.

  • Ultrawideband radio design: the promise of high-speed, short-range Wireless Connectivity
    Proceedings of the IEEE, 2004
    Co-Authors: S. Roy, J.r. Foerster, V.s. Somayazulu, D.g. Leeper
    Abstract:

    The paper provides a tutorial overview of ultrawideband (UWB) radio technology for high-speed Wireless Connectivity. Subsequent to establishing a historical and technological context, it describes the new impetus for UWB systems development and standardization resulting from the FCC's recent decision to permit unlicensed operation in the 3.1-10.6 GHz band subject to modified Part 15 rules and indicates the potential new applications that may result. Thereafter, the paper provides a system architect's perspectives on the various issues and challenges involved in the design of link layer subsystems. Specifically, we outline current developments in UWB system design concepts that are oriented to high-speed applications and describe some of the design tradeoffs involved.

Sameer Sonkusale - One of the best experts on this subject based on the ideXlab platform.

  • ph sensing threads with cmos readout for smart bandages
    International Symposium on Circuits and Systems, 2017
    Co-Authors: Meera Punjiya, Hojatollah Rezaei Nejad, Peoria Mostafalu, Sameer Sonkusale
    Abstract:

    We demonstrate a thread-based pH sensor integrated with a custom CMOS readout IC as a smart bandage for chronic wound monitoring. pH sensing threads are fabricated using a low-cost, room-temperature dip-and-dry coating process to coat cotton threads with carbon ink and polyaniline (PANI) nanofibers. Bluetooth Wireless Connectivity and smart phone readout enable real-time monitoring. Threads exhibit pH sensitivity of 72mV/pH and reach their steady state value within 2 minutes. Together, the sensors and electronics for readout and Wireless Connectivity show promise toward a smart bandage for chronic wound monitoring applications.

  • ISCAS - pH sensing threads with CMOS readout for Smart Bandages
    2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017
    Co-Authors: Meera Punjiya, Hojatollah Rezaei Nejad, Peoria Mostafalu, Sameer Sonkusale
    Abstract:

    We demonstrate a thread-based pH sensor integrated with a custom CMOS readout IC as a smart bandage for chronic wound monitoring. pH sensing threads are fabricated using a low-cost, room-temperature dip-and-dry coating process to coat cotton threads with carbon ink and polyaniline (PANI) nanofibers. Bluetooth Wireless Connectivity and smart phone readout enable real-time monitoring. Threads exhibit pH sensitivity of 72mV/pH and reach their steady state value within 2 minutes. Together, the sensors and electronics for readout and Wireless Connectivity show promise toward a smart bandage for chronic wound monitoring applications.