G. Solmaz and D. Turgut. Event Coverage in Theme Parks Using Wireless Sensor Networks with Mobile Sinks. In Proceedings of IEEE ICC'13, pp. 1522–1526, June 2013.
Theme parks are large crowded areas with unique characteristics in terms of movement behavior of visitors, attractions in different locations and walking paths connecting the attractions. Wireless sensor networks (WSNs) with mobile sinks can be used for various purposes including security and emergency issues as major challenges in such environments. Modeling of human mobility in theme parks allows us to consider scenario-specific applications of WSNs in these entertainment areas for event coverage purposes. In this paper, we propose a WSN model with mobile sinks and provide a novel approach to cover the events occurring in the environment. Furthermore, we propose new strategies for mobile sink positioning and event handling decision problems. We evaluate the benefits of our approach through extensive simulations using two sophisticated human mobility models for visitor movement.
@inproceedings{Solmaz-2013-ICC,
author = "G. Solmaz and D. Turgut",
title = "Event Coverage in Theme Parks Using Wireless Sensor Networks with Mobile Sinks",
booktitle = "Proceedings of IEEE ICC'13",
pages = "1522-1526",
month = "June",
year = "2013",
abstract = {Theme parks are large crowded areas with unique characteristics in terms of movement behavior of visitors, attractions in different locations and walking paths connecting the attractions. Wireless sensor networks (WSNs) with mobile sinks can be used for various purposes including security and emergency issues as major challenges in such environments. Modeling of human mobility in theme parks allows us to consider scenario-specific applications of WSNs in these entertainment areas for event coverage purposes. In this paper, we propose a WSN model with mobile sinks and provide a novel approach to cover the events occurring in the environment. Furthermore, we propose new strategies for mobile sink positioning and event handling decision problems. We evaluate the benefits of our approach through extensive simulations using two sophisticated human mobility models for visitor movement. },
}
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