In this article, a Distributed Data Aggregation and Selective Forwarding (DiDASeF) protocol for prolonging the lifetime of Wireless Sensor Networks is suggested. DiDASeF combines two energy efficient approaches for a clustered network: data aggregation and selective forwarding. DiDASeF works into cycles and each cycle consists of two stages. In the first stage, DiDASeF aggregates and reduces data dimensionality by using an Adaptive Piecewise Constant Approximation (APCA) method. The selective forwarding by using Dynamic Time Warping (DTW) distance measure is implemented in the second stage. DiDASeF was successfully evaluated using OMNeT++ network simulator and based on sensed data of a real sensor network. The conducted simulation results show that the proposed DiDASeF protocol decreases the consumed energy and extending the network lifetime in comparison with some existing methods whilst keeping the sensed data quality at the sink node.