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An Energy Efficient Technique For Object Tracking In Wireless Sensor Networks

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Wireless sensor network (WSN) is distributed over an area and sensors are devoted to task for controlling and monitoring the physical condition of the environment. Interesting application in wireless sensor network isObject Tracking Sensor Network(OTSN)which is used to track the objects in an environment and update its current location to the base station. OTSN accurately detects the location of objects and collecting all the data which is processed and aggregated, sent its current movements to the base station. OTSN is used in several real-life applications like wild-life monitoring, security applications for buildings and international borders monitoring for illegal crossings. There are two major issues in WSN, high energy consumption and low packet delivery rate. Previous object tracking techniques like scheduled monitoring and continues monitoring provides less energy consumption. To improve it, in this proposed system PTSP is used. PTSP has two stages, they are sequential pattern generation and object tracking and monitoring. Effective sleep-awake mechanism is used to conserve energy in proposed system. Markov decision process or learning technique is used to predict the future location of moving objects by mathematical calculations and also reduces object missing rate. Energy calculation and route finding is used to increase the network lifetime. Communication between the sensor node in the network and base station will be based on single-hop communications. The sensor node are static and that the network topology, including the positions of each sensor node in the network, is well known to the base station.
Keywords: OSTN, PTSP, markov decision process


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