PROJECT TITLE :
Artificial immune algorithm applied to short-term prediction for mobile object location
Mobility prediction is one in all the most essential problems that require to be explored for management during a location-primarily based service. The aim of this study is to present a unique approach for predicting the following location of a mobile object. Existing prediction strategies are typically primarily based on mass history data. But, they can't work well on the prediction of an object that has the features of short moving time and an elusive moving tendency. Taking into account these characteristics, proposed could be a short-term prediction algorithm based mostly on the artificial immune system. Simulated experimental results show that the proposed algorithm obtains higher accuracy and scalability than the ancient method.
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