Optimal Converge cast Methods for Tree- Based WSNs
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 4
Abstract
A tree- based wireless sensor network (WSN) is a collection of sensors nodes, such as sink is the root of tree and leaves are the nodes. Data in such a topology flows from sensor nodes (leaves) to the sink (root) node of the tree. Collectionof data from a set of sensors to an intermediate parent (sink) in a tree network is known as converge-casting. The delivery time and the data rate are application specific. As an example, in oil and gas refineries the sensor equipment and controllers need to collect data from all the sensors within a specific deadline for any kind of leakage or failures. Whereas applications like weather forecasting, under-water observations needs continuous and quick data delivery for analysis, for longer periods. In this paper our goal is on such applications focusing on fast data streaming from sensor to sink node. The two optimal approaches for data collection proposed in this paper are – aggregated-data convergecast where packets are aggregated at each hop, and raw-data convergecast where each data packet travel towards sink node individually. First method is most suitable where data is highly co-related and objective is to collect maximum sensor reading and second method is used where the reading of each sensor is equally important.
Authors and Affiliations
Mahammad Irfan Shaik
Keywords
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