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.