scispace - formally typeset
Y

Yaling Yang

Researcher at Virginia Tech

Publications -  95
Citations -  2639

Yaling Yang is an academic researcher from Virginia Tech. The author has contributed to research in topics: Wireless network & Cognitive radio. The author has an hindex of 24, co-authored 95 publications receiving 2471 citations. Previous affiliations of Yaling Yang include University at Buffalo & Worcester Polytechnic Institute.

Papers
More filters
Proceedings Article

Designing routing metrics for mesh networks

TL;DR: This paper first analyzes the possible types of routing protocols that can be used and shows that proactive hop-by-hop routing protocols are the most appropriate for mesh networks, and studies several existing routing metrics, including hop count, ETX, ETT, WCETT and MIC.
Journal ArticleDOI

Contention-aware admission control for ad hoc networks

TL;DR: This paper presents a scalable and efficient admission control framework - contention-aware admission control protocol (CACP) - to support QoS in ad hoc networks and demonstrates the effectiveness of CACP compared to existing approaches through extensive simulations.

Interference-aware Load Balancing for Multihop Wireless Networks

TL;DR: A new path weight function, called MIC, and a novel routing scheme, called LIBRA, are proposed to provide interferenceaware and multi-channel/multi-radio aware load balancing for mesh networks, while still ensuring routing optimality and loopfreedom.
Proceedings ArticleDOI

Design Guidelines for Routing Metrics in Multihop Wireless Networks

TL;DR: This work provides important guidelines for designing routing metrics and identifies the specific properties that a routing metric must have in order to be combined with certain type of routing protocols.
Proceedings Article

All your GPS are belong to us: towards stealthy manipulation of road navigation systems

TL;DR: The feasibility of a stealthy manipulation attack against road navigation systems to slightly shift the GPS location so that the fake navigation route matches the shape of the actual roads and trigger physically possible instructions is explored.