Internet of things and its applicationn

Chapter 3
IoT & M2M
Bahga & Madisetti, © 2015
Book website: http://www.internet-of-things-book.com

Outline
• M2M
• Differences and Similarities between M2M and IoT
• SDN and NFV for IoT

Machine-to-Machine (M2M)
• Machine-to-Machine (M2M) refers to networking of machines (or
devices) for the purpose of remote monitoring and control and data
exchange.

Machine-to-Machine (M2M)
• An M2M area network comprises of machines (or M2M nodes) which have
embedded hardware modules for sensing, actuation and communication.
• Various communication protocols can be used for M2M local area
networks such as ZigBee, Bluetooh, ModBus, M-Bus, Wirless M-Bus, Power
Line Communication (PLC), 6LoWPAN, IEEE 802.15.4, etc.
• The communication network provides connectivity to remote M2M area
networks.
• The communication network can use either wired or wireless networks (IP-
based).
• While the M2M area networks use either proprietary or non-IP based
communication protocols, the communication network uses IP-based
networks.

M2M gateway
• Since non-IP based protocols are used within M2M area networks, the
M2M nodes within one network cannot communicate with nodes in an
external network.
• To enable the communication between remote M2M area networks,
M2M gateways are used.

Difference between IoT and M2M
• Communication Protocols
• M2M and IoT can differ in how the communication between the machines or
devices happens.
• M2M uses either proprietary or non-IP based communication protocols for
communication within the M2M area networks.
• Machines in M2M vs Things in IoT
• The "Things" in IoT refers to physical objects that have unique identiﬁers and
can sense and communicate with their external environment (and user
applications) or their internal physical states.
• M2M systems, in contrast to IoT, typically have homogeneous machine types
within an M2M area network.

Difference between IoT and M2M
• Hardware vs Software Emphasis
• While the emphasis of M2M is more on hardware with embedded modules, the
emphasis of IoT is more on software.
• Data Collection & Analysis
• M2M data is collected in point solutions and often in on-premises storage
infrastructure.
• In contrast to M2M, the data in IoT is collected in the cloud (can be public, private or
hybrid cloud).
• Applications
• M2M data is collected in point solutions and can be accessed by on-premises
applications such as diagnosis applications, service management applications, and on-
premisis enterprise applications.
• IoT data is collected in the cloud and can be accessed by cloud applications such as
analytics applications, enterprise applications, remote diagnosis and management
applications, etc.

Communication in IoT vs M2M

SDN
• Software-Defined Networking
(SDN) is a networking
architecture that separates the
control plane from the data
plane and centralizes the
network controller.
• Software-based SDN controllers
maintain a unified view of the
network and make confi
guration, management and
provisioning simpler.
• The underlying infrastructure in
SDN uses simple packet
forwarding hardware as
opposed to specialized
hardware in conventional
networks.

Key elements of SDN
• Centralized Network Controller
• With decoupled control and data planes and centralized network controller,
the network administrators can rapidly configure the network.
• Programmable Open APIs
• SDN architecture supports programmable open APIs for interface between
the SDN application and control layers (Northbound interface).
• Standard Communication Interface (OpenFlow)
• SDN architecture uses a standard communication interface between the
control and infrastructure layers (Southbound interface).
• OpenFlow, which is deﬁned by the Open Networking Foundation (ONF) is
the broadly accepted SDN protocol for the Southbound interface.

NFV
• Network Function
Virtualization (NFV) is a
technology that leverages
virtualization to
consolidate the
heterogeneous network
devices onto industry
standard high volume
servers, switches and
storage.
• NFV is complementary to
SDN as NFV can provide
the infrastructure on
which SDN can run.

Key elements of NFV
• Virtualized Network Function (VNF):
• VNF is a software implementation of a network function which is capable of
running over the NFV Infrastructure (NFVI).
• NFV Infrastructure (NFVI):
• NFVI includes compute, network and storage resources that are virtualized.
• NFV Management and Orchestration:
• NFV Management and Orchestration focuses on all virtualization-specific
management tasks and covers the orchestration and life-cycle
management of physical and/or software resources that support the
infrastructure virtualization, and the life-cycle management of VNFs.

NFV Use Case
• NFV can be used to virtualize the Home Gateway. The NFV infrastructure in the cloud hosts
a virtualized Home Gateway. The virtualized gateway provides private IP addresses to the
devices in the home. The virtualized gateway also connects to network services such as VoIP
and IPTV.

Internet of things and its applicationn

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