Wireless sensor networks are networks of tiny, low cost, low energy, and multifunctional sensors that are densely deployed for monitoring environments, tracking objects or controlling industrial operations. In routing protocol transmission of data is the one of the most important factors that cause a rapid drain of energy between nodes and base station. Compression techniques reduce the amount of data which also lead to reduce the energy consumption of the network. Therefore, in this paper, we propose an adaptive and efficient technique based on compressive sensing (ECST) for improving the performance of routing in wireless sensor network. The performance of our technique is evaluated by applying it to PEGASIS (power efficient gathering in sensor information systems), which is one of the most popular protocol for routing in wireless sensor network. A comparison with PEGASIS and PEGASIS with Huffman coding shows the advantage of the proposed technique in terms of reduce energy consumption and network life time.