William Shaw
Papers
1
Total Citations
7
H-Index
1
About
William Shaw is a researcher whose work sits at the intersection of wireless sensor networks, computer vision, and energy-efficient systems. His most-cited paper, "Mobile Sink to Track Multiple Targets in Wireless Visual Sensor Networks" (2008, 7 citations), addresses a critical challenge in the field: how to track multiple moving objects using bandwidth- and energy-constrained visual sensor nodes. Shaw proposed a mobile sink approach that intelligently moves through the network to collect data from nodes, reducing communication overhead and extending network lifetime. This contribution is particularly relevant for applications in environmental monitoring, military surveillance, and robotics, where efficient target tracking is essential. While his citation count is modest, Shaw's work is notable for tackling the practical limitations of real-world sensor deployments—balancing the computational demands of visual data with the strict energy and bandwidth budgets of small sensor nodes. His research offers foundational insights for students and engineers working on resource-constrained tracking systems, demonstrating how clever system-level design can overcome hardware limitations in wireless visual sensor networks.
Research Focus
Key Achievements
Top Papers
- 1Mobile Sink to Track Multiple Targets in Wireless Visual Sensor Networks7 citations · 2008