Joint Data Compression and MAC Protocol Design for Smartgrids with Renewable Energy

TL;DR

This paper presents a joint design of data compression and MAC protocol tailored for smartgrids with renewable energy, leveraging compressed sensing and protocol adaptation to reduce reporting delay and improve data reliability.

Contribution

It introduces a novel joint framework combining 2D compressed sensing with an adapted 802.15.4 MAC protocol for efficient smartgrid data reporting.

Findings

Significant reduction in reporting delay compared to existing methods.

Effective data recovery with reliable reconstruction within minimal time.

Optimized MAC parameters improve overall network performance.

Abstract

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.