Dynamic Update System for K Queries in Wireless Sensor Networks

Recent years have seen the emergence of wireless sensor network systems that must support the real time query with the high data rate. Sensor top K query plays a critical role for energy efficient of wireless sensor system. In this paper we present the Filter based Top query monitoring system, which is an efficient and dynamic TOP query processing algorithm for distributed sensor networks. The objective of a top-k query is to find the k highest ranked answers/set to a user defined similarity function. The evaluation of such a query in a sensor network environment is allied with the transfer of data over an extremely expensive communication medium. Our propose system helps in order to minimize the number of tuples that have to be transferred towards the sink node. Furthermore, this system resolves queries in the network rather than in a centralized fashion, which minimizes even more the consumption of bandwidth and delay increasing the network life time and making the system energy efficient one.