Sheng‐Wen Chang

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About

Sheng-Wen Chang is a leading researcher in wireless sensor networks (WSNs), with a focus on energy-efficient deployment, coverage optimization, and autonomous robotic repair. His most influential work, "An Obstacle-Free and Power-Efficient Deployment Algorithm for Wireless Sensor Networks" (2009, 78 citations), introduces a novel robot-deployment algorithm that navigates unpredicted obstacles while achieving full-coverage with minimal sensor nodes. By proposing spiral movement policies and node placement strategies that operate without location information, Chang solved a critical challenge in real-world WSN deployment—balancing coverage completeness with energy conservation. He further advanced the field with a decentralized hole-shape regulation technique (2007) that enhances patrol and deployment tasks by intelligently managing coverage gaps caused by node failures or environmental factors. His later work on energy-efficient coverage recovery mechanisms (2008) refined repair algorithms to reduce communication overhead and extend network lifetime. Chang’s contributions are foundational for autonomous WSN maintenance, directly impacting applications in environmental monitoring, surveillance, and disaster response. His research remains a key reference for engineers designing robust, self-healing sensor networks.