Machine-to-machine communications with in-network data aggregation, processing, and actuation for large-scale cyber-physical systems

Stojmenovic, Ivan 2014, Machine-to-machine communications with in-network data aggregation, processing, and actuation for large-scale cyber-physical systems, IEEE internet of things journal, vol. 1, no. 2, pp. 122-128, doi: 10.1109/JIOT.2014.2311693.

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Title Machine-to-machine communications with in-network data aggregation, processing, and actuation for large-scale cyber-physical systems
Author(s) Stojmenovic, Ivan
Journal name IEEE internet of things journal
Volume number 1
Issue number 2
Start page 122
End page 128
Total pages 7
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2014-04
ISSN 2327-4662
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Cyber-physical systems (CPSs)
machine-to-machine (M2M) communications
Summary Machine-to-Machine (M2M) paradigm enables machines (sensors, actuators, robots, and smart meter readers) to communicate with each other with little or no human intervention. M2M is a key enabling technology for the cyber-physical systems (CPSs). This paper explores CPS beyond M2M concept and looks at futuristic applications. Our vision is CPS with distributed actuation and in-network processing. We describe few particular use cases that motivate the development of the M2M communication primitives tailored to large-scale CPS. M2M communications in literature were considered in limited extent so far. The existing work is based on small-scale M2M models and centralized solutions. Different sources discuss different primitives. Few existing decentralized solutions do not scale well. There is a need to design M2M communication primitives that will scale to thousands and trillions of M2M devices, without sacrificing solution quality. The main paradigm shift is to design localized algorithms, where CPS nodes make decisions based on local knowledge. Localized coordination and communication in networked robotics, for matching events and robots, were studied to illustrate new directions.
Language eng
DOI 10.1109/JIOT.2014.2311693
Field of Research 080503 Networking and Communications
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C2.1 Other contribution to refereed journal
ERA Research output type C Journal article
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30080782

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