In order to prevent air quality deterioration and human health consequences,globally the pollution makes up most important emergency. For theses causes,in a local and on a regional scale mobile monitoring has increased in the last decade. By describing vital issues and effects,we have summed up the present condition in this area. Recent research says that massive data collected from various devices have to be processed efficiently. Many researchers have proposed ideas for data collection in a distributed way. Efficient data processing architecture is needed for massive data collected through IOT environment. Three-layer architecture was designed to deal the data processing in IOT. The data received from devices are initially stored in Data Assembly Layer (DAL). It is then passed to Data Separation Layer (DSL) for assuring the data efficiency. If the data is static,it is directly stored in the database by DSL else the Data Examining Layer (DEL) prepares the data to neighborhood structure. ODP (Optimal Data processing) model distributes the stress of data storage which reduces the workload of remote air pollution monitor. © 2016,International Journal of Pharmacy and Technology. All rights reserved.