OBSERVING MOVMENTS OF TARGET USING EDGE DETECTING ALGORITHM IN WSN

Wireless sensor networks (WSNs) have a lot of attention in both the public and the research communities because they are expected to bring the interaction between humans, environments, and machines to a new level. It were originally developed for military purposes in battlefield surveillance, however, the development of such networks has encouraged their use In healthcare, environmental industries, and for monitoring or observing targets of interest . In an observing movements of target application. Sensor nodes are active when the object of interest is found, while some nodes detect the vehicle and send a vigilance message to the nodes on the objects expected moving path, so as to wake them up. Thus, the nodes in the objects moving path can be active in advance and remain vigilant in front of it as it moves. To be energy efficient and to accurately track the vehicle, only the nodes close to the path can participate in tracking and providing continuous coverage. This paper is focused on a new tracking framework called Cell Track, in which Cell is of any shape, it may be rectangle, hexagonal, square, polygon refers to surrounding nodes of a target in its spatial region. Brink detection algorithm is introduced in thisscheme which generates next cell as per the target’s next movement. This helps to operate sensor nodes in timely fashion. In this scheme, which nodes should be active during tracking is determined using optimal sensors selection method. Cell Track scheme is more energy efficient and achieves better tracking accuracy as compared with existing schemes.