Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Stochastic Shortest Path Games
SIAM Journal on Control and Optimization
A rate-adaptive MAC protocol for multi-Hop wireless networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Machine Learning
On-demand multicast routing protocol in multihop wireless mobile networks
Mobile Networks and Applications
A high-throughput path metric for multi-hop wireless routing
Proceedings of the 9th annual international conference on Mobile computing and networking
High-Throughput Multicast Routing Metrics in Wireless Mesh Networks
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
Trading structure for randomness in wireless opportunistic routing
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Routing security in wireless ad hoc networks
IEEE Communications Magazine
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Estimating network parameters from noisy data is a hard problem that can be made even more difficult by the presence of a malicious adversary who may corrupt the measurement process by capturing a trusted node or perturbing data externally. The adversary may have complete knowledge of the networking protocols that rely on the parameter estimates and may adjust its effect on the system to push protocols into incorrect operating regimes. This work focuses on studying how an adversary may impact the estimation of link quality (LQ) of a communications link. We propose a nonlinear filtering solution that simultaneously tracks both the quality of a link and the state of the adversary, tracking the latter to tolerate better the corruption in tracking the former. We provide empirical results while considering several types of adversarial perturbation, including ones that falsely report the LQ measurements or jam a link. Extensions of these analytical techniques and empirical results show how assumptions about symmetry between the LQ of each direction of a bidirectional link can improve adversary tracking and, in turn, LQ estimation.