  In this paper, we consider the joint design of data compression and
802.15.4-based medium access control (MAC) protocol for smartgrids with
renewable energy. We study the setting where a number of nodes, each of which
comprises electricity load and/or renewable sources, report periodically their
injected powers to a data concentrator. Our design exploits the correlation of
the reported data in both time and space to efficiently design the data
compression using the compressed sensing (CS) technique and theMAC protocol so
that the reported data can be recovered reliably within minimum reporting time.
Specifically, we perform the following design tasks: i) we employ the
two-dimensional (2D) CS technique to compress the reported data in the
distributed manner; ii) we propose to adapt the 802.15.4 MAC protocol frame
structure to enable efficient data transmission and reliable data
reconstruction; and iii) we develop an analytical model based on which we can
obtain efficient MAC parameter configuration to minimize the reporting delay.
Finally, numerical results are presented to demonstrate the effectiveness of
our proposed framework compared to existing solutions.
