Random approximations to some measures of accuracy in nonparametric curve estimation
Journal of Multivariate Analysis
IEEE 802.11 Ad Hoc Networks: Performance Measurements
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Supporting multimedia streaming between mobile peers with link availability prediction
Proceedings of the 13th annual ACM international conference on Multimedia
A prediction-based link availability estimation for routing metrics in MANETs
IEEE/ACM Transactions on Networking (TON)
Kernel-Based Positioning in Wireless Local Area Networks
IEEE Transactions on Mobile Computing
A link availability-based QoS-aware routing protocol for mobile ad hoc sensor networks
Computer Communications
Modeling MANET Utilizing Artificial Intelligent
EMS '08 Proceedings of the 2008 Second UKSIM European Symposium on Computer Modeling and Simulation
Overall Requirements for Global Information Multimedia Communication Village 10th Strategic Workshop
Wireless Personal Communications: An International Journal
Computer
Link dynamics in MANETs with restricted node mobility: modeling and applications
IEEE Transactions on Wireless Communications
Synthetic map-based mobility traces for the performance evaluation in opportunistic networks
MobiOpp '10 Proceedings of the Second International Workshop on Mobile Opportunistic Networking
BonnMotion: a mobility scenario generation and analysis tool
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
Link availability prediction with radio irregularity coverage for mobile multi-hop networks
IEEE Communications Letters
Cross-layer routing metrics for mesh networks: Current status and research directions
Computer Communications
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A new approach for link modelling in wireless multi-hop networks is described for portable devices, based on Kernel Regression Statistics. A non-parametric estimation of errors in the wireless medium provides an efficient and accurate model of link errors between any two nodes. This estimation results from the analysis of the inter-arrival time between any periodically sent packets. The obtained results prove that it is possible to infer on link quality without having unrealistic assumptions or additional overhead, by using Kernel Methods. Moreover, similar performances were achieved for different scenarios, without requiring model recalculations. The presented results show that the proposed link quality estimation can be used in order to improve wireless connectivity and ubiquity in future networks.