الفهرس 
Title : Spatio-temporal resources allocation using data mining techniques
AbstractOnly 14 pages are availabe for public view
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Abstract
Nowadays, many countries are suffering from the problem of poor distribution of resources that serve the citizens its mean resources represents hospitals, airports, sensors, malls, schools, wireless sensors, mobile sensors, and seismic stations . Our goal is finding the best location for resources. In other words, find the distribution of resources that minimize required resources. Examples of resources that can make use of required solutions include hospitals, airports, sensors, malls, schools, wireless sensors, mobile sensors and seismic stations in countries having a non-uniform population density. We aim to allocate (localization) of resources in best locations that choose the best location for resources with the lowest number of resources and maximize the lifetime of this resources. WSNs have many of applications including medical applications, highway monitoring, habitat monitoring, military applications, environmental applications, and commercial applications such as automated grocery checkout, personal health diagnosis, remote controlled heating and lighting,...etc. We present analysis and simulations of the algorithms, demonstrating improved accuracy compared to other schemes although the accuracy is probably not good enough for some high-end applications