Lmrdbcp - Underwater routing local minima state using robotics diversion with disorder detection and back-force connectivity discovered by probability assessment

Abstract

Sensor connectivity evaluations are examined in under water sensor network, based on the link, and operational probability. Estimated probability determines the channel among sensors that observes the reliability and link disconnection may occur because of void and malfunctions. Because of these issues, sensors can generate the incorrect data’s, thus makes the collapse of the network and threaten in quality measures. In proposed underwater routing local minima state using robotics diversion with disorder detection and back-force connectivity discovered by probability assessment (LMRDBCP) calculates the order of repetition based on highest weight and depth search and avoids the impure sensors by a set of moving robots. During forwarder node selection check void position and starts the void recovery operations if void occurred. Enable the robotics arrival request by comparing the distance, radius, based on middle point of the robotics and checks the border level. Group the data points into clusters from the border points, if the data is not ranged between these border points then the data is referred as malicious and the corresponding sensor is marked as impure in the communication zone. If the message is not handled by the node buffer during the robotics operation then Back-Force routing is applied.