A limited memory algorithm for bound constrained optimization
SIAM Journal on Scientific Computing
Link-level measurements from an 802.11b mesh network
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
On accurate measurement of link quality in multi-hop wireless mesh networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Link quality prediction in mesh networks
Computer Communications
Measurement and analysis of real-world 802.11 mesh networks
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Supporting QoS in Integrated Ad-Hoc Networks
Wireless Personal Communications: An International Journal
Routing Metrics and Protocols for Wireless Mesh Networks
IEEE Network: The Magazine of Global Internetworking
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Through time domain observation, typical wireless signal strength values seems to exhibit some forms of mean-reverting and discontinuous "jumps" behaviour. Motivated by this fact, we propose a wireless link prediction and triggering (LPT) technique using a modified mean-reverting Ornstein---Uhlenbeck (OU) jump diffusion process. The proposed technique which we refer as OU-LPT is an integral component of wireless mesh network monitoring system developed by ICT FP7 CARrier grade wireless MEsh Network project. In particular, we demonstrate how this technique can be applied in the context of wireless mesh networks to support link switching or handover in the event of predicted link degradation or failure. The proposed technique has also been implemented and evaluated in a real-time experimental testbed. The results show that OU-LPT technique can significantly enhance the reliability of wireless links by reducing the rate of false triggers compared to a conventional linear prediction technique and therefore offers a new direction on how wireless link prediction, triggering and switching process can be conducted in the future.