International Journal for Development of Computer Science & Technology (IJDCST)
Latest advances in location-acquisition technologies have promoted many new applications like object tracing, conservational monitoring, and location reliant service. These requests produce a large amount of location information, and thus, lead to broadcast and storage contests, especially in resource constrained surroundings. Usual sensations show that many individuals form great social groups and move in systematic forms. However, earlier mechanisms have focused on discovery the undertaking patterns of each particular object or all objects. In this paper, to mutually identify a group of moving objects and determine their undertaking patterns in wireless sensor networks an efficient distributed mining algorithm is proposed.