The recent thrust towards machine-to-machine (M2M) communications and the integration of wireless sensor networks with the generic internet infrastructure via 6LoWPAN support at the Network layer call for the development of new data sensing and aggregation mechanisms that increase the efficiency of such networks. Especially in latest Cloud and Virtual RAN architectures of 5G technologies such mechanisms will be the motivation for enhanced capacity improvements with green energy policies.
Deligiannis, N & Louvros, S 2017, Distributed Data Aggregation and Compression for 5G Virtual RAN IoT Sensor Applications. in 5G Radio Access Networks: Centralized RAN, Cloud-RAN and Virtualization of Small Cells. First edn, 10, CRC Press, pp. 227-262.
Deligiannis, N., & Louvros, S. (2017). Distributed Data Aggregation and Compression for 5G Virtual RAN IoT Sensor Applications. In 5G Radio Access Networks: Centralized RAN, Cloud-RAN and Virtualization of Small Cells (First ed., pp. 227-262). Article 10 CRC Press.
@inbook{11c0a2a65b614e9c8fa0f199165df37a,
title = "Distributed Data Aggregation and Compression for 5G Virtual RAN IoT Sensor Applications",
abstract = "The recent thrust towards machine-to-machine (M2M) communications and the integration of wireless sensor networks with the generic internet infrastructure via 6LoWPAN support at the Network layer call for the development of new data sensing and aggregation mechanisms that increase the efficiency of such networks. Especially in latest Cloud and Virtual RAN architectures of 5G technologies such mechanisms will be the motivation for enhanced capacity improvements with green energy policies. ",
keywords = "LCSH, Wireless LANs, cell phone systems, cloud computing",
author = "Nikolaos Deligiannis and Spiros Louvros",
year = "2017",
month = feb,
language = "English",
pages = "227--262",
booktitle = "5G Radio Access Networks: Centralized RAN, Cloud-RAN and Virtualization of Small Cells",
publisher = "CRC Press",
edition = "First",
}