Air Pollution Detection Based on Head Selection Clustering and Average Method from Wireless Sensor Network

With the advancement in the technology, various types of sensors are easily available in the market to detect air pollution with precise reading of different gases in environment but main problem arises in efficient use of sensor network so that it can sustain for a longer time and effective communication strategy for these sensor node to base station so that collected data can process efficiently. For this purpose various methods can be used to install sensors in a polluted area but our propose method mainly focus on longer sustain time period of sensor network, effective processing of collected information and less overhead in routing information between sensor nodes.