Name
Abstract | ||
|---|---|---|
Cloud based machine-to-machine (M2M) communications have emerged to achieve ubiquitous and autonomous data transportation for future daily life in the cyber-physical world. In light of the need of network characterizations, we analyze the connected M2M network in the machine swarm of geometric random graph topology, including degree distribution, network diameter, and average distance (i.e., hops). Without the need of end-to-end information to escape catastrophic complexity, information dissemination appears an effective way in machine swarm. To fully understand practical data transportation, G/G/1 queuing network model is exploited to obtain average end-to-end delay and maximum achievable system throughput. Furthermore, as real applications may require dependable networking performance across the swarm, quality of service (QoS) along with large network diameter creates a new intellectual challenge. We extend the concept of small-world network to form shortcuts among data aggregators as infrastructure-swarm two-tier heterogeneous network architecture, then leverage the statistical concept of network control instead of precise network optimization, to innovatively achieve QoS guarantees. Simulation results further confirm the proposed heterogeneous network architecture to effectively control delay guarantees in a statistical way and to facilitate a new design paradigm in reliable M2M communications. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TWC.2014.2376952 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
cyber-physical world,autonomous data transportation,cloud based machine-to-machine communication reliability,statistical analysis,quality of service,ubiquitous data transportation,telecommunication network reliability,g/g/1 queuing network model,network topology,queueing theory,data aggregator,telecommunication network topology,radio networks,quality-of-service guarantees,information dissemination,qos,end-to-end delay,machine-to-machine communications,optimization,geometric random graph topology,statistical control,m2m communication,graph theory,degree distribution,heterogeneous network,cloud computing,ad hoc networks,small-world networks,statistical dissemination control,catastrophic complexity,internet of things,throughput,end to end delay,small world networks,wireless communication | End-to-end delay,Network delay,Computer science,Computer network,Network architecture,Network simulation,Network topology,Network traffic control,Intelligent computer network,Network management station,Distributed computing | Journal |
Volume | Issue | ISSN |
14 | 4 | 1536-1276 |
Citations | PageRank | References |
2 | 0.36 | 30 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shih-Chun Lin | 1 | 554 | 53.65 |
| Lei Gu | 2 | 38 | 7.66 |
| Kwang-Cheng Chen | 3 | 2932 | 324.78 |