In this presentation, prof Liu highlighted initially the wireless data broadcasting and the access of data in mobile environment, which are described as pull based, push based, on demand push based and hybrid based. Data broadcasting is an effective way to distribute information to a large amount of mobile clients in wireless mobile environments. Many information services can use such a technique to serve the clients, including location-based services. The reverse nearest neighbor (RNN) search is one of the most important location-based services. In mobile broadcast model two methods are mainly used to spread information i.e. broadcasting only data and data broadcasting with index. The data broadcasting problem can be solved through single channel and multi-channel problem.
Prof Liu talked over about the location based service to incorporate different type's queries like point query, range query, kNN query and finally the Reverse nearest neighbors query. The Reverse nearest neighbors query uses single query point and multi-data points.
The prof also emphasized different broadcast schedules with the client k-NN search processing which makes different k-NN search protocols. The objectives of the protocols are to minimize the latency (i.e., the time elapsed between issuing and termination of the query), tuning time (i.e., the amount of time spent on listening to the channel), and the memory usage for k-NN search processing. At the end prof presented his experiments and the experiment results to achieve the objectives.
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