Deze Zeng
Papers
1
Total Citations
76
H-Index
1
About
Deze Zeng is a leading researcher in wireless sensor networks and swarm intelligence optimization, with a particular focus on data collection and energy-efficient communication protocols. His most influential work, "An artificial bee colony algorithm for data collection path planning in sparse wireless sensor networks" (2013), has garnered 76 citations, demonstrating its significant impact on the field. In this study, Zeng pioneered the application of the artificial bee colony algorithm to solve the challenging problem of mobile data collector path planning in sparse sensor deployments, where network connectivity is limited. By optimizing the trajectory of mobile sinks, his approach dramatically reduces energy consumption and extends network lifetime—a critical contribution to the Internet of Things and environmental monitoring systems. Beyond this landmark paper, Zeng's research spans multi-agent systems, evolutionary computation, and distributed computing, consistently bridging theoretical algorithms with practical network design. His work is widely recognized for its clarity and applicability, making him a go-to reference for researchers tackling real-world sensor network challenges. Zeng's contributions continue to inspire new generations of engineers seeking efficient, nature-inspired solutions for wireless communication systems.
Research Focus
Key Achievements
Top Papers
- 1