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  2. NextPlace: A Spatio-Temporal Prediction Frameworkfor Pervasive…

    https://mobile-systems.cl.cam.ac.uk/papers/pervasive11.pdf
    12 Mar 2011: Theseplaces correspond to areas where taxi drivers periodically go and wait for new cus-tomers, such as touristic locations, shopping malls, cinemas, and they tend to exhibitregular and predictable patterns. ... Abyzov. The Changing Usage of a Mature
  3. 1 On the Effectiveness of an OpportunisticTraffic Management System…

    https://mobile-systems.cl.cam.ac.uk/papers/its11.pdf
    13 Sep 2011: Asa result, many new research initiatives have taken place withthe scope of understanding the impact of distributed ITSs onurban congestion [4]. ... CATE. Dissemination System. MAP Navigation Module. GPS. Collected Traffic Samples. Traffic Sensing (Add
  4. 1 Evaluating Temporal Robustness ofMobile Networks Salvatore…

    https://mobile-systems.cl.cam.ac.uk/papers/tmc11.pdf
    31 Oct 2011: At tERR = 150 we randomly removenodes with probability PERR and we wait until thenetwork reaches a new steady state. ... This happens because thestatic analysis is unable to consider that time providesredundancy as new paths can still appear.
  5. 39 WILDSENSING: Design and Deployment of a Sustainable SensorNetwork…

    https://mobile-systems.cl.cam.ac.uk/papers/tosn2011.pdf
    27 Apr 2011: of the IPv6 network allows us to easily maintainand extend the network with new functions. ... In a standard IPv6 network, a node attempts to detect new neighbors every.
  6. SociableSense: Exploring the Trade-offs of AdaptiveSampling and…

    https://mobile-systems.cl.cam.ac.uk/papers/mobicom2011.pdf
    9 Jul 2011: Figure 3(b) shows a social network of five nodes.Let us assume that there is a core social network consistingof nodes A, B, and C, and two new persons D

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