Milan Simek

Milan Simek

Brno, Jihomoravský, Česko
4 tis. sledujících uživatelů Více než 500 spojení

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Pár slov o mně

My vision is to revolutionize industrial manufacturing market by transforming at least 10…

Aktivita

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Pracovní zkušenosti

  • Explicitní: Sewio

    Sewio

    Purkyňova 649/127 JIC INMEC

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    Okres Brno-venkov, Česká republika

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    Okres Brno-venkov, Česká republika

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    Brusel a okolí, Belgie

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    Coimbra a okolí, Portugalsko

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Vzdělání

  • Explicitní: Vysoké učení technické v Brně

    Brno University of Technology

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    Aktivity a spolky:Co-founder of WISLAB laboratory, www.wislab.cz

    R&D on indoor localization and WSN systems, active RFID, positioning tracking

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    Aktivity a spolky:Wireless Sensors, Indoor Positioning, Telemetry Systems

    Focus on wireless telemetry solutions for public transportation systems

Licence a certifikace

  • IPMA-C Training

    SPŘ

Publikace

  • Effect of Optimized RSSI Distance Estimation on Accuracy of RTLS System

    05/2012

    This paper shows how the distance estimation based on RSSI parameter can be
    optimized when our adaptive system reflecting the actual radio condition is applied.
    The adaptive proposed method is evaluated in the real testbed consisted
    on wireless sensors. Furthermore, we have showed the impact of the adaptive
    distance estimation method on the accuracy of the localization system. For evaluation
    we have implemented Multilateration and Weighted Centroid algorithm.
    The results…

    This paper shows how the distance estimation based on RSSI parameter can be
    optimized when our adaptive system reflecting the actual radio condition is applied.
    The adaptive proposed method is evaluated in the real testbed consisted
    on wireless sensors. Furthermore, we have showed the impact of the adaptive
    distance estimation method on the accuracy of the localization system. For evaluation
    we have implemented Multilateration and Weighted Centroid algorithm.
    The results showed that adaptive method improves the distance estimation about
    9% in contrast to commonly used method using pure signal strength. With the
    proposed adaptive method we have observed localization error of 1.3 in office and
    6.3 meters in the floor respectively.

  • Measurement of lowPAN Network Coexistence with Home Microwave Appliances in Laboratory and Home Environments

    In Proceeding of BWCCA 2011 conference

    Due to a low installation cost of communication
    infrastructure, Low Power Wireless Area Networks (lowPAN)
    presents an efficient solution for home and building automation.
    The lowPANs operate in a microwave radio band that is often
    shared by several home appliances. Laptops, wireless routers,
    cordless phones and microwave ovens occupy the 2.4 GHz band
    without any channel allocation and thus interoperability with
    the lowPAN systems presents a significant challenge…

    Due to a low installation cost of communication
    infrastructure, Low Power Wireless Area Networks (lowPAN)
    presents an efficient solution for home and building automation.
    The lowPANs operate in a microwave radio band that is often
    shared by several home appliances. Laptops, wireless routers,
    cordless phones and microwave ovens occupy the 2.4 GHz band
    without any channel allocation and thus interoperability with
    the lowPAN systems presents a significant challenge. Therefore,
    we have performed several laboratory experiments to study
    the coexistence of lowPAN devices with WiFi equipped laptop,
    WiFi router and microwave oven. The performance evaluation
    was based on a measurement of Packet Delivery Ratio (PDR)
    metric. Results shows that presence of the home appliances
    in the lowPAN environment significantly affects the lowPAN
    communication efficiency. Furthermore, we have deployed
    Zigbee based wireless network in the home environment to
    study the communication performance in area perturbed by
    common home radio interferences and obstacles. The lessons
    learned from network deployment are also presented within
    the paper.

  • REFERENCE NODES SELECTION FOR ANCHOR-FREE LOCALIZATION IN WIRELESS SENSOR NETWORKS

    Brno University of Technology

    The doctoral thesis is focused on a design of a novel anchor free localization algorithm
    for wireless sensor networks. As introduction, the incremental and concurrent anchor free
    localization algorithms are presented and their performance is compared. It was found
    that contemporary anchor free localization algorithms working in the concurrent manner
    achieve a low localization error, but dissipate significant energy reserves. A new Boundary
    Recognition Aided Localization algorithm…

    The doctoral thesis is focused on a design of a novel anchor free localization algorithm
    for wireless sensor networks. As introduction, the incremental and concurrent anchor free
    localization algorithms are presented and their performance is compared. It was found
    that contemporary anchor free localization algorithms working in the concurrent manner
    achieve a low localization error, but dissipate significant energy reserves. A new Boundary
    Recognition Aided Localization algorithm presented in this thesis is based on an idea to
    recognize the nodes placed on the boundary of network and thus reduce the number of
    transmission realized during the reference nodes selection phase of the algorithm. For
    the position estimation, the algorithm employs the multilateration technique that work
    effectively with the low number of the reference nodes. Proposed algorithms are tested
    through the simulations and validated by the real experiment with the wireless sensor
    network. The novel Boundary Recognition Aided Localization algorithm is compared
    with the known algorithms in terms of localization error and the communication cost.
    The results show that the novel algorithm presents powerful solution for the anchor free
    localization.

    Zobrazit publikaci

Kurzy

  • Linux Server Security

    UNIXB1

Jazyky

  • English

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Organizace

  • Sewio Networks

    CEO

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