A sensor node is usually coupled with more than one sensor. This imposes more burdens on individual nodes in data gathering functions. Also, the energy consumption increases in order to power a greater number of transducers as well as in carrying out data communication and aggregation functions for different sensed parameters. This article proposes multi-tree and multiple-tree algorithms for improving network parameters in the usual data collection WSN application scenarios. A multi-tree simply suggests a strategy where single parameter-type sensors are arranged in a tree-based topology so as to reduce the energy consumption as well as the end-to-end delay in data communication. The multiple-tree exemplifies a more effective way of query result propagation in data centric applications where delay requirements are not very stringent.