NDLI: A markov routing algorithm for mobile DTNs based on spatio-temporal modeling of human movement data

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A markov routing algorithm for mobile DTNs based on spatio-temporal modeling of human movement data

Content Provider	ACM Digital Library
Author	Moghadam, Arezu Schulzrinne, Henning Jebara, Tony
Abstract	Store-carry-forward communication, which is set as the heart of all routing protocols for mobile disruption-tolerant networks (DTNs), exploits nodes' mobility to bring messages closer to their destinations by exchanging messages across mobile nodes when they meet in close proximity. Understanding the subtle characteristics of human mobility leads to better service and application provisioning for mobile DTNs. We use GPS traces collected from multiple mobile users to empirically study different aspects of human mobility. Various Markov models (first, second and third-order) are estimated from users' mobility data. Based on empirical evidence, second-order Markov models are deemed sufficient to estimate mobile users' future locations accurately. These Markov models permit the design of a new routing algorithm for mobile DTNs capable of more efficiently routing data objects to their destination locations. The relay selection in this routing algorithm is based on mobile users' absorption times to the destination location. Simulations show that the proposed routing algorithm consumes less energy than legacy epidemic routing algorithms without excessive transmission delays.
Starting Page	323
Ending Page	332
Page Count	10
File Format	PDF
ISBN	9781450308984
DOI	10.1145/2068897.2068954
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Design Algorithms Experimentation Performance
Content Type	Text
Resource Type	Article

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