Papers
7
Total Citations
174
H-Index
6
About
Alade Tokuta is a computer scientist whose research spans wireless sensor networks, mobile robotics, and trajectory optimization. His most influential contributions address the challenge of efficient data collection in wireless sensor networks (WSNs) using mobile elements such as robots and unmanned vehicles — a problem with significant implications for environmental monitoring and IoT infrastructure. Tokuta's most-cited works, including "Minimum Latency Multiple Data MULE Trajectory Planning in Wireless Sensor Networks" (2013, 59 citations) and "Minimizing Data Collection Latency in Wireless Sensor Networks with Multiple Mobile Elements" (2012, 53 citations), formulate data collection as variants of the classical traveling salesman problem, providing algorithmic frameworks for minimizing latency in multi-robot deployments. His 2014 follow-up extended this work to heterogeneous ferry systems, broadening its practical applicability. Earlier in his career, Tokuta made foundational contributions to robot path planning, developing the TRULLA algorithm for near-optimal path computation in weighted environments (2005, 20 citations) and an efficient VGRAPH extension for obstacle-rich workspaces (1998). His work on binary space partitioning further demonstrated his versatility across computational geometry and motion planning. Collectively, his research provides essential algorithmic tools for autonomous systems navigating complex real-world environments.
Research Focus
Key Achievements
Top Papers
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- 5Extending the VGRAPH algorithm for robot path planning7 citations · 1998
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- 7Motion planning using binary space partitioning6 citations · 2002