Publications by authors named "I-Shyan Hwang"

The -coverage configuration that guarantees coverage of each location by at least sensors is highly popular and is extensively used to monitor diversified applications in wireless sensor networks. Long network lifetime and high detection quality are the essentials of such -covered sleep-scheduling algorithms. However, the existing sleep-scheduling algorithms either cause high cost or cannot preserve the detection quality effectively.

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Localization is an important research issue in Wireless Sensor Networks (WSNs). Though Global Positioning System (GPS) can be used to locate the position of the sensors, unfortunately it is limited to outdoor applications and is costly and power consuming. In order to find location of sensor nodes without help of GPS, collaboration among nodes is highly essential so that localization can be accomplished efficiently.

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Synopsis of recent research by authors named "I-Shyan Hwang"

  • - I-Shyan Hwang's research focuses on optimizing wireless sensor networks (WSNs) through the development of efficient algorithms for sleep scheduling and localization, addressing challenges related to network lifetime and detection quality.
  • - In the article "Pre-Scheduled and Self Organized Sleep-Scheduling Algorithms for Efficient K-Coverage in Wireless Sensor Networks," Hwang investigates novel sleep-scheduling algorithms that aim to balance cost and maintain high detection quality for sensor coverage.
  • - His work on "Collaborative localization algorithms for wireless sensor networks with reduced localization error" emphasizes the importance of node collaboration for effective localization in WSNs, especially in scenarios where GPS is impractical.