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Showing 1 to 4 of 4 for “"IEEE 802.15.4e"”.

  1. Adaptive IEEE 802.15.4e LLDN scheduler for wireless network control systems

    … and throughput of wireless communication using IEEE 802.15.4 and IEEE 802.15.4e Low Latency Deterministic Network (LLDN) protocols for different sensor sampling rates in an LCV scenario and creates a guidelines for the system designers to select the right sensor sampling times. Furthermore, it …

    uoit Repository record for Adaptive IEEE 802.15.4e LLDN scheduler for wireless network control systems (opens in a new tab)

  2. An anomaly detection model utilizing attributes of low powered networks, IEEE 802.15.4e/TSCH and machine learning methods

    The rapid growth in sensors, low-power integrated circuits, and wireless communication standards has enabled a new generation of applications based on ultra-low powered wireless sensor networks. These are employed in many environments including health-care, industrial automation, smart building and …

    uoit Repository record for An anomaly detection model utilizing attributes of low powered networks, IEEE 802.15.4e/TSCH and machine learning methods (opens in a new tab)

  3. Optimized multi-superframe scheduling for clustered wireless sensor networks

    … The data acquisition rate is dependent on the IEEE 802.15.4e superframe. In addition, the multi-superframe structure is utilized to enable nodes to conserve more energy. The proposed method provides a set of solutions, based on the constraints and goals.

    uoit Repository record for Optimized multi-superframe scheduling for clustered wireless sensor networks (opens in a new tab)

  4. Real-Time Networks for Robotics and Industrial applications: Research Challenges and Novel Solutions

    … Low Energy, Sub-GHz Communications, the IEEE 802.15.4e and IEEE 802.11 standards. Evaluations through simulations, analysis and experiments on proof-of-concept implementations are reported, which prove the effectiveness and the suitability of the proposed solutions.

    catania Repository record for Real-Time Networks for Robotics and Industrial applications: Research Challenges and Novel Solutions (opens in a new tab)