Handbook of Smart Cities by Muthucumaru Maheswaran & Elarbi Badidi

Author:Muthucumaru Maheswaran & Elarbi Badidi
Language: eng
Format: epub
ISBN: 9783319972718
Publisher: Springer International Publishing

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This measures the marginal increase in spatial coverage for a single vehicle at time step t j. Thus, the time complexity is O(|V ′|2|T|2).

To evaluate their algorithms, Hu et al. utilized a trace dataset from taxis in Rome over an area of 64 km2 [3]. The duration of the dataset is over 30 days. Thus, the model proposed attempts to select participants at each t i during a given time window. This improves coverage metrics but suffers from higher computational costs. Furthermore, the proposed model can only obtain greater coverage with the same workload by selecting more vehicles and switching off vehicles when they are no longer useful for sensing. This has a few problems; first reward system could include a fixed cost as part of the recruitment; recruiting more vehicles would increase costs [8]. Furthermore, sensing data collected may result in highly fragmented data from multiple sources; for instance a single time window T covered can have at most T vehicles covering each area. This is a problem because of lack of continuity and varying sensor quality. Compared to single continuous data, having multiple fragments of data increases the level of noise and reduce sensing quality.

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