Energy consumption and prolonging network lifetime are a primary challenge in many
studies on Wireless Sensor Networks (WSN). Thus, since radio communication and routing protocol
transmission are in general the main cause of power consumption, different techniques proposed in literature
to improve energy efficiency have mainly focused on limiting transmission/reception of data. To
this aim, we propose an adaptive and efficient technique based on compressive sensing 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 protocols for routing in wireless sensor network. A comparison of PEGASIS and PEGASIS
with Huffman coding shows the advantage of the proposed technique in terms of reducing the
energy consumption and network lifetime.