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Yujie Zhu

Researcher at Georgia Institute of Technology

Publications -  8
Citations -  405

Yujie Zhu is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Wireless sensor network & Throughput. The author has an hindex of 6, co-authored 8 publications receiving 396 citations.

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Proceedings ArticleDOI

A receiver-centric transport protocol for mobile hosts with heterogeneous wireless interfaces

TL;DR: This paper presents a receiver-centric transport protocol called RCP (Reception Control Protocol) that is a TCP clone in its general behavior, but allows for better congestion control, loss recovery, and power management mechanisms compared to sender-centric approaches.
Proceedings ArticleDOI

Challenges: communication through silence in wireless sensor networks

TL;DR: A novel communication paradigm is introduced that enables energy-efficient information delivery in wireless sensor networks and is referred to as Communication through Silence (CtS), which explores a new dimension - time, to deliver information efficiently.
Journal ArticleDOI

A scalable correlation aware aggregation strategy for wireless sensor networks

TL;DR: This work presents a scalable and distributed correlation-aware aggregation structure that addresses the practical challenges in the context of aggregation in WSNs and evaluates the performance of the proposed approach with centralized and distributed correlated aware and unaware structures.
Proceedings ArticleDOI

Practical limits on achievable energy improvements and useable delay tolerance in correlation aware data gathering in wireless sensor networks

TL;DR: The energy improvement in using correlation aware aggregation is not significant under many network scenarios, and the maximum useable delay bound is not large compared with the delay along the maximum length shortest-path in the default shortest path tree.
Proceedings ArticleDOI

A scalable correlation aware aggregation strategy for wireless sensor networks

TL;DR: This work presents a scalable and distributed correlation-aware aggregation structure that addresses the practical challenges in the context of aggregation in WSNs and evaluates the performance of the proposed approach with centralized and distributed correlated aware and unaware structures.