AN ENERGY EFFICIENT DATA AGGREGATION FOR UNEQUAL CLUSTER WITH DOUBLE C-H BY POLYNOMIAL REGRESSION IN 3-D WIRELESS SENSOR NETWORK

ELECTRONICS & COMM

Sensor nodes observing events, occurring in close proximity, gather data that are highly co-related. This work uses work uses a double cluster head and a polynomial regression technique to exploit the spatialcorrelation of the data in a three dimensional sensor network. The sensing nodes, sense the physical attribute and report theirposition coordinates (x, y, z) and the sensed value to the nearest tree node. Another set of nodes, categorized as thetree nodes, are responsible for generating a polynomial function of the received dataand transmit the coefficients of regression to the parent tree node. The approach proceeds from the bottom to the top. The query from the sink, receives a polynomial function which is generated by the root node of the tree in each cluster tocompute the attribute value at any location within the boundary. The proposed approach aims to save a lotof energy in the sensor network. Simulations, performed for differenttree heights, indicate that a tree with a depth of four gives the best results.

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