Pattern matching based link quality prediction in wireless mobile ad hoc networks

As mobile devices, such as laptops, PDAs or mobile phones, are getting more and more ubiquitous and are able to communicate with each other via wireless technologies, the paradigm of wireless mobile ad hoc networks (MANETs) is gaining popularity. MANETs impose new challenges because of their self-organizing, mobile and error-prone nature. Mobility prediction can mitigate the problems emerging from node mobility. This is crucial for different tasks like routing or distributed network/service management. In this paper, we propose an approach called XCoPred to predict link quality variations based on pattern matching which can be exploited for mobility prediction. XCoPred, in contrast to the most mobility prediction techniques applied today, doesn’t require the use of any external hardware or reference point. Each node in the ad hoc network monitors the Signal to Noise Ratio (SNR) of its links to obtain a time series of SNR measurements. When a prediction is required, the node tries to...

• Type: Conference
• Year: 2006
• Where: MSWIM
• Authors: Károly Farkas, Theus Hossmann, Lukas Ruf, Bernhard Plattner
• Keywords: Ad Hoc Networks, Mobility Prediction, Modelling And Simulation, MSWIM 2006, Node Mobility