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29.9.1 MobEyes Overview > 29.9.1 MobEyes Overview - Pg. 751

CHAPTER 29 Emergency Vehicular Networks has been obliterated. In the preventive scenario, uploading is possible, yet may not be desirable when the sensed data is so massive (e.g., all the license plates read by all the vehicles at the rate of one plate per second) that it would overwhelm the server. In this case, keeping the data on board along with epidemic diffusion to facilitate the search will be preferred. The above examples should have convinced the reader that background environment surveil- lance is critical for successful emergency recov- ery and yet is different from video dissemination as discussed in the previous section. Fortunately, video surveillance and epidemic dissemination of the metadata associated with the video is some- thing vehicle can do very well, and in fact can do in the background during normal operating conditions. We are again in front of an appli- cation ­ video surveillance ­ that never stops and can be effectively exploited during emergen- 751 storage capabilities. Most important, they can host sensors that may generate huge amounts of data, such as multimedia video streams, thus making impractical the instantaneous data reporting solutions of conventional wireless sen- sor networks. VSN offer a tremendous opportunity for dif- ferent large-scale applications, from traffic rout- ing and relief to environmental monitoring and distributed surveillance. In particular, there is an increasing interest in proactive urban monitoring services where vehicles continuously sense events from urban streets, maintain sensed data in their local storage, autonomously process them, for example, recognizing license plates, and possi- bly route messages to vehicles in their vicinity to achieve a common goal, for example, to permit police agents to track the movements of spec- ified cars. For instance, proactive urban moni- toring could usefully apply to post-facto crime