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Capacity of Data Collection in Arbitrary Wireless Sensor Networks

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Project Description

In the wireless sensors networks the collection of the data is one of the important function, the collection of data should be done efficiently so that the performance of the sensor network is not degraded. In this the collection of the data in the TDMA based sensors network in order to achieve the maximum capacity is taken in consideration. The study of data collection was earlier done on the large – scale random networks, but practically the sensors node are not deployed uniformly and the numbers of the sensors may not be as huge as assumed. So the study of capacity of data collection in the arbitrary network is necessary. In this method firstly the upper and the lower bounds for data collection in the arbitrary network is derived under protocol interference and the disk graph models. A simple BFS tree based method results in the order-optimal performance for any arbitrary sensor networks. Then the graph model is used for studying the capacity bounds of the data collection, where two nodes cannot communicate due to presence of path fading or obstacles. Finally a design is provided for data collection under a Gaussian channel model.

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