Abstract:This article intends to present a Cluster based Trustable Target Detection and Tracking Scheme (CTTDTS) for Wireless Sensor Network (WSN). The entire network area is segregated into numerous equal sized grids and each grid acts as a cluster. All the grids are populated with equal count of nodes. A predominant node is elected for each grid by means of trust degree, which is computed by the Dempster Shafer theory. The predominant node fixes the minimal count of active nodes per grid and controls the activity of the nodes. The predominant node along with the active nodes detects and tracks the target. Besides this, the predominant node alerts the neighborhood clusters through which the target may traverse. The network lifetime is considerably enhanced by employing job cycle scheduling and clustering technique. The experimental results prove the efficacy of the proposed approach in terms of detection accuracy, energy consumption and network lifetime.
In WSN most of the target detection and tracking algorithms require the sensors to work in groups in order to advance the consistency of target tracking algorithms. This makes it necessary for deploying sensors to discover and group together so that their coverage can be maximized. In this study we have proposed a distributed clustering algorithm for effectively detecting the Target location. The proposed clustering algorithm is distributed in nature and has the ability to reconfigure in the event of node failure. The algorithm is highly localized and hence does not need flooding across the entire network. Since the algorithm allows for more clusters to track the same region the system reliability is greatly improved. The algorithm builds a series of over-lapping clusters which allow for more than one cluster to track a region. This redundancy improves the overall system reliability. The overlapping clusters also allow for tracking of curvilinear targets.
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