DocumentCode :
616048
Title :
Small-world networks empowered large machine-to-machine communications
Author :
Lei Gu ; Shih-Chun Lin ; Kwang-Cheng Chen
Author_Institution :
MediaV Massive Data Lab., Fudan Univ., Shanghai, China
fYear :
2013
fDate :
7-10 April 2013
Firstpage :
1558
Lastpage :
1563
Abstract :
Cloud-based machine-to-machine communications emerge to facilitate services through linkage between cyber and physical worlds. In addition to great challenges in a large network of machine/sensor swarm, effective network architecture involving interconnection of wireless infrastructure and multi-hop ad hoc networking in the machine swarm remains open. Inspired by the small-world phenomenon in social networks, we may establish a short-cut path under a heterogeneous network architecture through wireless infrastructure and cloud, by connecting to data aggregators or access points in the machine swarm, such that end-to-end delay can be significantly reduced. Our mathematical analysis on network diameter and average delay, along with verifications by simulations, demonstrate spectral and energy efficiency of our proposed heterogeneous network architecture in large machine-to-machine communication networks.
Keywords :
ad hoc networks; cloud computing; social networking (online); cloud-based machine-to-machine communications; machine/sensor swarm; multi-hop ad hoc networking; network architecture; small-world networks; social networks; wireless infrastructure; Ad hoc networks; Communication networks; Computer architecture; Delays; Upper bound; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location :
Shanghai
ISSN :
1525-3511
Print_ISBN :
978-1-4673-5938-2
Electronic_ISBN :
1525-3511
Type :
conf
DOI :
10.1109/WCNC.2013.6554795
Filename :
6554795
Link To Document :
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