Internet DRAFT - draft-arkko-core-cellular
draft-arkko-core-cellular
Network Working Group J. Arkko
Internet-Draft A. Eriksson
Intended status: Informational A. Keranen
Expires: January 10, 2013 Ericsson
July 9, 2012
Building Power-Efficient CoAP Devices for Cellular Networks
draft-arkko-core-cellular-00
Abstract
This memo discusses the use of the Constrained Application Protocol
(CoAP) protocol in building sensors and other devices that employ
cellular networks as a communications medium. Building communicating
devices that employ these networks is obviously well known, but this
memo focuses specifically on techniques necessary to minimize power
consumption.
Status of this Memo
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This Internet-Draft will expire on January 10, 2013.
Copyright Notice
Copyright (c) 2012 IETF Trust and the persons identified as the
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the Trust Legal Provisions and are provided without warranty as
described in the Simplified BSD License.
Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 3
2. Goals for Low-Power Operation . . . . . . . . . . . . . . . . 4
3. Link-Layer Assumptions . . . . . . . . . . . . . . . . . . . . 7
4. Scenarios . . . . . . . . . . . . . . . . . . . . . . . . . . 9
5. Discovery and Registration . . . . . . . . . . . . . . . . . . 9
6. Data Formats . . . . . . . . . . . . . . . . . . . . . . . . . 11
7. Real-Time Reachable Devices . . . . . . . . . . . . . . . . . 11
8. Sleepy Devices . . . . . . . . . . . . . . . . . . . . . . . . 12
8.1. Implementation Considerations . . . . . . . . . . . . . . 13
9. Security Considerations . . . . . . . . . . . . . . . . . . . 14
10. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 14
11. References . . . . . . . . . . . . . . . . . . . . . . . . . . 15
11.1. Normative References . . . . . . . . . . . . . . . . . . . 15
11.2. Informative References . . . . . . . . . . . . . . . . . . 15
Appendix A. Acknowledgments . . . . . . . . . . . . . . . . . . . 16
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . . 16
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1. Introduction
This memo discusses the use of the Constrained Application Protocol
(CoAP) protocol [I-D.ietf-core-coap] in building sensors and other
devices that employ cellular networks as a communications medium.
Building communicating devices that employ these networks is
obviously well known, but this memo focuses specifically on
techniques necessary to minimize power consumption. CoAP has many
advantages, including being simple to implement; a thousand lines for
the entire software above IP layer is plenty for a CoAP-based sensor,
for instance. However, while many of these advantages are obvious
and easily obtained, optimizing power consumption remains challenging
and requires careful design [I-D.arkko-core-sleepy-sensors].
The memo targets primarily 3GPP cellular networks in their 2G, 3G,
and LTE variants and their future enhancements, including possible
power efficiency improvements at the radio and link layers. The
exact standards or details of the link layer or radios are not
relevant for our purposes, however. To be more precise, the material
in this memo is suitable for any large-scale, public network that
employs point-to-point communications model and radio technology.
Our focus is devices that need to be optimized for power usage, and
on devices that employ CoAP. As a general technology, CoAP is
similar to HTTP. It can be used in various ways and network entities
may take on different roles. This freedom allows the technology to
be used in efficient and less efficient ways. Some guidance is
needed to understand what communication models over CoAP are
recommended when low power usage is a critical goal.
The recommendations in this memo should be taken as complementary to
device hardware optimization, microelectronics improvements, and
further evolution of the underlying link and radio layers. Further
gains in power efficiency can certainly be gained on several fronts;
the approach that we take in this memo is to do what can be done at
the IP, transport, and application layers to provide the best
possible power efficiency. Application implementors generally have
to use the current generation microelectronics, currently available
radio networks and standards, and so on. This focus in our memo
should by no means be taken as an indication that further evolution
in these other areas is unnecessary. Such evolution is useful, is
ongoing, and is generally complementary to the techniques presented
in this memo. The evolution of underlying technologies may change
what techniques described here are useful for a particular
application, however.
The rest of this memo is structured as follows. Section 2 discusses
the need and goals for low-power devices. Section 3 outlines our
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expectations for the low layer communications model. Section 4
describes the two scenarios that we address, and Section 5,
Section 6, Section 7 and Section 8 give guidelines for use of CoAP in
these scenarios.
2. Goals for Low-Power Operation
There are many situations where power usage optimization is
unnecessary. Optimization may not be necessary on devices that can
run on power feed over wired communications media, such as in Power-
over-Ethernet (PoE) solutions. These devices may require a
rudimentary level of power optimization techniques just to avoid keep
overall energy costs and aggregate power feed sizes at a reasonable
level, but more extreme techniques necessary for battery powered
devices are not required. The situation is similar with devices that
can be easily be connected to mains power. Other types of devices
may get an occasional charge of power from energy harvesting
techniques. For instance, some environmental sensors can run on
solar cells. Typically, these devices still have to regulate their
power usage in a strict manner, for instance to be able to use as
small and inexpensive solar cells as possible.
In battery operated devices the power usage is even more important.
For instance, one of the authors employs over a hundred different
sensor devices in his home network. A majority of these devices are
wired and run on PoE, but in most environments this would be
impractical because the necessary wires do not exist. The future is
in wireless solutions that can cover buildings and other environments
without assuming a pre-existing wired infrastructure. In addition,
in many cases it is impractical to provide a mains power source.
Often there are no power sockets easily available in the locations
that the devices need to be in, and even if there were, setting up
the wires and power adapters would be more complicated than
installing a standalone device without any wires.
Yet, with a large number of devices the battery lifetimes become
critical. Cost and practical limits dictate that devices can be
largely just bought and left on their own. For instance, with
hundred devices, even a ten-year battery lifetime results in a
monthly battery change for one device within the network. This may
be impractical in many environments. In addition, some devices may
be physically difficult to reach for a battery change. Or, a large
group of devices -- such as utility meters or environmental sensors
-- cannot be economically serviced too often, even if in theory the
batteries could be changed.
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SENSOR COMMUNICATION INTERVAL
+-----------------+------------------+-----------------+
POWER SOURCE | Seconds | Minutes or Hours | Days and longer |
+--------------+-----------------+------------------+-----------------+
| | | | |
| Battery | Low-power | Low-power or | Always-off |
| | | Always-off | |
+--------------+-----------------+------------------+-----------------+
| | | | |
| Harvesting | Low-power | Low-power or | Always-off |
| | | Always-off | |
+--------------+-----------------+------------------+-----------------+
| | | | |
| Mains | Always-on | Always-on | Always-on |
| | | | |
+--------------+-----------------+------------------+-----------------+
Figure 1: Power usage strategies for different classes of applications
Many of these situations lead to a requirement for minimizing power
usage and/or maximing battery lifetimes. A summary of the different
situations for sensor-type devices is shown in Figure 1 above.
Unfortunately, much of our current technology has been built with
different objectives in mind. Networked devices that are "always
on", gadgets that require humans to recharge it every couple of days,
and protocols that have been optimized to maximize throughput rather
than conserve resources.
Long battery lifetimes are required for many applications, however.
In some cases these lifetimes should be in the order of years or even
a decade or longer. Some communication devices already reach multi-
year lifetimes, and continuous improvement in low-power electronics
and advances in radio technology keep pushing these lifetimes longer.
However, it is perhaps fair to say that battery lifetimes are
generally too short at present time.
The general strategies for power usage from Figure 1 can be described
as follows:
Always-on
Under this strategy, there is no reason for extreme measures for
power saving. The device can stay on in the usual manner all the
time. It may be useful to employ a power-friendly hardware or
limit the number of wireless transmissions, CPU speeds, and other
aspects for general power saving and cooling needs, but the device
can be in the network all the time.
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Always-off
Under this strategy, the device sleeps such long periods at a time
that once it wakes up, it makes sense for it to not pretend that
it is connected to the network during those times. These devices
re-attach to the network as they are woken up. The main
optimization goal is to minimize the effort during such re-
attachment process and any resulting application communications.
If the device sleeps for long periods of time, the relative
increase in energy expediture during reattachment for infrequent
communication may be acceptable.
Low-power
These devices need to operate on very small amount of power, but
still be able to communicate in a relatively frequent basis. This
implies that extremely low power solutions needs to be used for
the hardware, chosen link layer mechanisms, and so on. Typically,
given the small amount of time between transmissions, despite
their sleep state these devices retain some form of network
attachment to the network. Techniques used for minimizing power
usage for the network communications include minimizing any work
from re-establishing communications after waking up, tuning the
communications frequency, and paging frequency and other
parameters appropriately.
Power usage can not be evaluated solely based on lower layer
communications. The entire system, including upper layer protocols
and applications is responsible for the power consumption as a whole.
The lower communication layers have already adopted many techniques
that can be used to reduce power usage, such as scheduling device
wake-up times. Further reductions will likely need some co-operation
from the upper layers so that unnecessary communications, denial-of-
service attacks on power consumptions, and other power drains are
eliminated.
Of course, application requirements ultimately determine what kinds
of communications are necessary. For instance, some applications
require more data to be sent than others. The purpose of the
guidelines in this memo is not to prefer one or the other
application, but to provide guidance on how to minimize the amount of
communications overhead that is not directly required by the
application. While such optimization is generally useful, it is
relatively speaking most noticeable in applications that transfer
only a small amount of data, or operate only infrequently.
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3. Link-Layer Assumptions
We assume that the underlying communications network can be any
large-scale, public network that employs point-to-point
communications model and radio technology. 2G, 3G, and LTE networks
are examples of such networks, but not the only possible networks
with these characteristics.
In the following we look at some of these characteristics and their
implications. Note that in most cases these characteristics are not
properties of the specific networks but rather inherent in the
concept of public networks.
Public networks
Using a public network service implies that applications can be
deployed without having to build a network to go with them. For
economical reasons, only the largest users (such as utility
companies) could afford to build their own network, and even they
would not be able to provide a world-wide coverage. This means
that applications where coverage is important can be built. For
instance, most transport sector applications require national or
even world-wide coverage to work.
But there are other implications, as well. By definition, the
network is not tailored for this application and with some
exceptions, the traffic passes through the Internet. One
implication of this is that there are generally no application-
specific network configurations or discovery support. For
instance, the public network helps devices to get on the Internet,
set up default routers, configure DNS servers, and so on, but does
nothing for configuring possible higher-layer functions, such as
servers the device might need to contact to perform its
application functions.
Public networks often provide web proxies, and these can in some
cases make a significant improvement for delays and cost of
communication over the wireless link. For instance, collecting
content from a large number of servers used to render a web page
and resolving their DNS names in a proxy instead of the user's
device may cut down on the general chattiness of the
communications, therefore reducing overall delay in completing the
entire transaction. However, as of today such proxies are
provided only for HTTP communications, not for CoAP.
Similarly, given the lack of available IPv4 addresses, the chances
are that many devices are behind a network address translation
(NAT) device. This means that they are not easily reachable as
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servers. Alternatively, the devices may be directly on the global
Internet (either on IPv4 or IPv6) and easily reachable as servers.
Unfortunately, this may mean that they also receive unwanted
traffic, which may have implications for both power consumption
and service costs.
Point-to-point link model
This is a common link model in cellular networks. One implication
of this model is that there will be no other nodes on the same
link, except maybe for the service provider's router. As a
result, multicast discovery can not be reasonably used for any
local discovery purposes. While the configuration of the service
provider's router for specific users is theoretically possible, in
practice this is difficult to achieve, at least for any small user
that can not afford a network-wide contract for a private APN.
The public network access service has little per-user tailoring.
Radio technology
The use of radio technology means that power is needed to operate
the radios. Transmission generally requires more power than
reception. However, radio protocols have generally been designed
so that a device checks periodically whether it has messages. In
a situation where messages arrive seldomly or not at all, this
checking consumes energy. Research has shown that these periodic
checks (such as LTE paging message reception) are often a far
bigger contributor to energy consumption than message
transmission.
Note that for situations where there are several applications on
the same device wishing to communicate with the Internet in some
manner, bundling those applications together at the same time can
be very useful. Some guidance for these techniques in the
smartphone context can be found in [Android-Bundle].
Naturally, each device has a freedom to decide when it sends
messages. In addition, we assume that there is some way for the
devices to control when or how often it wants to receive messages.
Specific methods for doing this depend on the specific network being
used and also tend to change as improvements in the design of these
networks are incorporated. The reception control methods generally
come in two variants, fine grained mechanisms that deal with how
often the device needs to wake-up for paging messages, and more crude
mechanisms where the device simply disconnects from the network for a
period of time. There are associated costs and benefits to each
method, but those are not relevant for this memo, as long as some
control method exists.
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4. Scenarios
Not all applications or situations are equal. They may require
different solutions or communication models. This memo focuses on
two common scenarios:
Real-Time Reachable Devices
This scenario involves all communication that requires real-time
or near real-time communications with a device. That is, a
network entity must be able to reach the device with a small time
lag at any time, and no pre-agreed wake-up schedule can be
arranged. By "real-time" we mean any reasonable end-to-end
communications latency, be it measured in millieconds or seconds.
However, unpredictable sleep states are not expected.
Examples of devices in this category include sensors that must be
measurable from a remote source at any instant in time, such as
process automation sensors and actuators that require immediate
action, such as lightbulbs or door locks.
Sleepy Devices
This scenario involves freedom to choose when device communicates.
The device is often expected to be able to be in a sleep state for
much of its time. The device itself can choose when it
communicates, or it lets the network assist in this task.
Examples of devices in this category include sensors that track
slowly changing values, such as temperature sensors and actuators
that control a relatively slow process, such as heating systems.
Note that there may be hard real-time requirements, but they are
expressed in terms of how fast the device can communicate, not in
terms of how fast it can respond to a network stimuli. For
instance, a fire detector can be classified as a sleepy device as
long as it can internally quickly wake up on detecting fire and
initiate the necessary communications without delay.
5. Discovery and Registration
In both scenarios the device will be attached to a public network.
Without special arrangements, the device will also get a dynamically
assigned IP address or an IPv6 prefix. At least one but typically
several router hops separate the device from its communicating peers
such as application servers. As a result, the address or even the
existence of the device is typically not immediately obvious to the
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other nodes participating in the application. As discussed earlier,
multicast discovery has limited value in public networks; network
nodes cannot practically discover individual devices in a large
public network. And the devices can not discover who they need to
talk, as the public network offers just basic Internet connectivity.
Our recommendation is to initiate a discovery and registration
process. This allows each device to inform its peers that it has
connected to the network and that it is reachable at a given IP
address.
The registration part is easy; a resource directory or mirror proxy
can be used. The device should perform the necessary registration
with these devices, for instance, as specified in
[I-D.shelby-core-resource-directory] and
[I-D.vial-core-mirror-proxy]. In order to do this registration, the
device needs to know its CORE Link Format description, as specified
in [I-D.ietf-core-link-format]. In essence, the registration process
involves performing a GET on .well-known/core/?rt=core-rd at the
address of the resource directory (or rt=core-mp for mirror proxies),
and then doing a POST on the path of the discovered resource.
However, current CoAP specifications provide limited support for
discovering the resource directory or mirror proxy. Local multicast
discovery only works in LAN-type networks, but not in these public
cellular networks. Our recommended alternate methods for discovery
are the following:
Manual Configuration
The DNS name of the resource directory or mirror proxy is manually
configured. This approach is suitable in situations where the
owner of the devices has the resources and capabilities to do the
configuration. For instance, a utility company can typically
program its metering devices to point to the company servers.
Manufacturer Server
The DNS name of the directory or proxy is hardwired to the
software by the manufacturer, and the directory or proxy is
actually run by the manufacturer. This approach is suitable in
many consumer usage scenarios, where it would be unreasonable to
assume that the consumer runs any specific network services. The
manufacturer's web interface and the directory/proxy servers can
co-operate to provide the desired functionality to the end user.
For instance, the end user can register a device identity in the
manufacturer's web interface and ask specific actions to be taken
when the device does something.
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Delegating Manufacturer Server
The DNS name of the directory or proxy is hardwired to the
software by the manufacturer, but this directory or proxy merely
redirects the request to a directory or proxy run by the whoever
bought the device. This approach is suitable in many enterprise
environments, as it allows the enterprise to be in charge of
actual data collection and device registries; only the initial
bootstrap goes through the manufacturer. In many cases there are
even legal requirements (such as EU privacy laws) that prevent
providing unnecessary information to third parties.
Common Global Resolution Infrastructure
The delegating manufacturer server model could be generalized into
a reverse-DNS -like discovery infrastructure that could answer the
question "this is device with identity ID, where is my home
registration server?". However, at present no such resolution
system exists. (Note: The EPCGlobal system for RFID resolution is
reminiscent of this approach.)
6. Data Formats
A variety of data formats exist for passing around data. These data
formats include XML, JSON, EXI, and text formats. Message lengths
can have a significant effect on the amount of energy required for
the communications, and such it is highly desirable to keep message
lengths minimal. At the same time, extreme optimization can affect
flexibility and ease of programming. The authors recommend
[I-D.jennings-senml] as a compact, yet easily processed and
extendable textual format.
7. Real-Time Reachable Devices
These devices are often best modeled as CoAP servers. The device
will have limited control on when it receives messages, and it will
have to listen actively for messages, up to the limits of the
underlying link layer. If the device acts also in client role in
some phase of its operation, it can control how many transmissions it
makes on its own behalf.
The packet reception checks should be tailored according to the
requirements of the application. If sub-second response time is not
needed, a slightly more infrequent checking process may save some
power.
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For sensor-type devices, the CoAP OBSERVE extension
[I-D.ietf-core-observe] may be supported. This allows the sensor to
track changes to the sensed value, and make an immediate observation
response upon a change. This may reduce the amount of polling needed
to be done by the client. Unfortunately, it does not reduce the time
that the device needs to be listening for requests. Subscription
requests from other clients than the currently registered one may
come at any time, the current client may change its request, and the
device still needs to respond to normal queries as a server. As a
result, the sensor can not rely having to communicate only on its own
choice of observation interval.
In order to act as a server, the device needs to be placed in a
public IPv4 address, be reachable over IPv6, or hosted in a private
network. If the the device is hosted on a private network, then all
other nodes need to access this device also need to reside in the
same private network. There are multiple ways to provide private
networks over public cellular networks. One approach is to dedicate
a special Access Point Name or APN for the private network.
Corporate access via cellular networks has often been arranged in
this manner, for instance. Another approach is to use Virtual
Private Networking (VPN) technology, for instance IPsec-based VPNs.
Power consumption from unwanted traffic is problematic in these
devices, unless placed in a private network or protected by a
operator-provided firewall service. Devices on an IPv6 network will
have some protection through the nature of the 2^64 address
allocation for a single terminal in a 3GPP cellular network; the
attackers will be unable to guess the full IP address of the device.
However, this protects only the device from processing a packet, but
since the network will still deliver the packet to any of the
addresses within the assigned 64-bit prefix, packet reception costs
are still incurred.
Note that the the VPN approach can not prevent unwanted traffic
received at the tunnel endpoint address, and may require keep-alive
traffic. Special APNs can solve this issue, but require explicit
arrangement with the service provider.
8. Sleepy Devices
These devices are best modeled as devices that can delegate queries
to some other node. For instance, as mirror proxy clients
[I-D.vial-core-mirror-proxy]. When the device initializes itself, it
makes a registration of itself in a mirror proxy as described above
in Section 5 and then continues to send periodic updates of sensor
values.
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As a result, the device acts only as a client, not a server, and can
shut down all communication channels while it is during its sleeping
period. The length of the sleeping period depends on power and
application requirements. Some environmental sensors might use a day
or a week as the period, while other devices may use a smaller values
ranging from minutes to hours.
Other approaches for delegation include CoAP-options described in
[I-D.castellani-core-alive]
[I-D.fossati-core-publish-monitor-options]. In this memo we use
mirror proxies as an example, because of their ability to work with
both HTTP and CoAP implementations; but the concepts are similar and
the IETF work is still in progress so the final protocol details are
yet to be decided.
The ability to shut down communications and act as only a client has
four impacts:
o Radio transmission and reception can be turned off during the
sleeping period, reducing power consumption significantly.
o However, some power and time is consumed by having to re-attach to
the network after the end of a sleep period.
o The window of opportunity for unwanted traffic to arrive is much
smaller, as the device is listening for traffic only part of the
time. Note that networks may cache packets for some time though.
On the other hand, stateful firewalls can effectively remove much
of unwanted traffic for client type devices.
o The device may exist behind a NAT or a firewall without being
impacted. Note that "Simple Security" basic IPv6 firewall
capability [RFC6092] blocks inbound UDP traffic by default, so
just moving to IPv6 is not direct solution to this problem.
For sleepy devices that represent actuators, it is also possible to
use the mirror proxy model. The device can make periodic polls to
the proxy to determine if a variable has changed.
8.1. Implementation Considerations
There are several challenges in implementing sleepy devices. They
need hardware that can be put to an appropriate sleep mode but yet
awakened when it is time to do something again. This is not always
easy in all hardware platforms. It is important to be able to shut
down as much of the hardware as possible, preferably down to
everything else except a clock circuit. The platform also needs to
support re-awakening at suitable time scales, as otherwise the device
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needs to be powered up too frequently.
Most commercial cellular modem platforms do not allow applications to
suspend the state of the communications stack. Hence, after a power-
off period they need to re-establish communications, which takes some
amount of time and extra energy.
Implementations should have a coordinated understanding of the state
and sleeping schedule. For instance, it makes no sense to keep a CPU
powered up, waiting for a message when the lower layer has been told
that the next possible paging opportunity is some time away.
The cellular networks have a number of adjustable configuration
parameters, such as the maximum used paging interval. Proper setting
of these values has an impact on the power consumption of the device,
but with the current business practices, such settings are rarely
negotiated when the user's subscription is provisioned.
9. Security Considerations
There are no particular security aspects with what has been discussed
in this memo, except for the ability to delegate queries for a
resource to another node. Depending on how this is done, there are
obvious security issues which have largely NOT yet been addressed in
the relevant Internet Drafts [I-D.vial-core-mirror-proxy]
[I-D.castellani-core-alive]
[I-D.fossati-core-publish-monitor-options]. However, we point out
that in general, security issues in delegation can be solved either
through reliance on your local network support nodes (which may be
quite reasonable in many environments) or explict end-to-end
security. Explicit end-to-end security through nodes that are awake
at different times means in practice end-to-end data object security.
We have implemented one such mechanism for sleepy nodes as described
in [I-D.aks-crypto-sensors].
The security considerations relating to CoAP [I-D.ietf-core-coap] and
the relevant link layers should apply. Note that cellular networks
universally employ per-device authentication, integrity protection,
and for most of the world, encryption of all their communications.
Additional protection of transport sessions is possible through
mechanisms described in [I-D.ietf-core-coap] or data objects.
10. IANA Considerations
There are no IANA impacts in this memo.
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11. References
11.1. Normative References
[I-D.ietf-core-coap]
Shelby, Z., Hartke, K., Bormann, C., and B. Frank,
"Constrained Application Protocol (CoAP)",
draft-ietf-core-coap-06 (work in progress), May 2011.
[I-D.ietf-core-observe]
Hartke, K., "Observing Resources in CoAP",
draft-ietf-core-observe-05 (work in progress), March 2012.
[I-D.vial-core-mirror-proxy]
Vial, M., "CoRE Mirror Proxy",
draft-vial-core-mirror-proxy-00 (work in progress),
March 2012.
[I-D.shelby-core-resource-directory]
Shelby, Z. and S. Krco, "CoRE Resource Directory",
draft-shelby-core-resource-directory-00 (work in
progress), June 2011.
[I-D.ietf-core-link-format]
Shelby, Z., "CoRE Link Format",
draft-ietf-core-link-format-11 (work in progress),
January 2012.
[I-D.jennings-senml]
Jennings, C., "Media Type for Sensor Markup Language
(SENML)", draft-jennings-senml-05 (work in progress),
March 2011.
11.2. Informative References
[RFC6092] Woodyatt, J., "Recommended Simple Security Capabilities in
Customer Premises Equipment (CPE) for Providing
Residential IPv6 Internet Service", RFC 6092,
January 2011.
[I-D.arkko-core-sleepy-sensors]
Arkko, J., Rissanen, H., Loreto, S., Turanyi, Z., and O.
Novo, "Implementing Tiny COAP Sensors",
draft-arkko-core-sleepy-sensors-01 (work in progress),
July 2011.
[I-D.arkko-core-security-arch]
Arkko, J. and A. Keranen, "CoAP Security Architecture",
Arkko, et al. Expires January 10, 2013 [Page 15]
Internet-Draft Cellular CoAP devices July 2012
draft-arkko-core-security-arch-00 (work in progress),
July 2011.
[I-D.aks-crypto-sensors]
Sethi, M., Arkko, J., Keranen, A., and H. Rissanen,
"Practical Considerations and Implementation Experiences
in Securing Smart Object Networks",
draft-aks-crypto-sensors-02 (work in progress),
March 2012.
[I-D.ietf-jose-json-web-signature]
Jones, M., Bradley, J., and N. Sakimura, "JSON Web
Signature (JWS)", draft-ietf-jose-json-web-signature-01
(work in progress), March 2012.
[I-D.castellani-core-alive]
Castellani, A. and S. Loreto, "CoAP Alive Message",
draft-castellani-core-alive-00 (work in progress),
March 2012.
[I-D.fossati-core-publish-monitor-options]
Fossati, T., Giacomin, P., and S. Loreto, "Publish and
Monitor Options for CoAP",
draft-fossati-core-publish-monitor-options-01 (work in
progress), March 2012.
[Android-Bundle]
Developer.Android.Com, "Optimizing Downloads for Efficient
Network Access", Android developer note http://
developer.android.com/training/efficient-downloads/
efficient-network-access.html, <http://
developer.android.com/training/efficient-downloads/
efficient-network-access.html>.
Appendix A. Acknowledgments
The authors would like to thank Zach Shelby, Jan Holler, Salvatore
Loreto, Matthew Vial, Thomas Fossati, Mohit Sethi, Jan Melen, Joachim
Sachs, Heidi-Maria Rissanen, Sebastien Pierrel, Kumar Balachandran,
Muhammad Waqas Mir, Cullen Jennings, Markus Isomaki, Hannes
Tschofenig, and Anna Larmo for interesting discussions in this
problem space.
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Authors' Addresses
Jari Arkko
Ericsson
Jorvas 02420
Finland
Email: jari.arkko@piuha.net
Anders Eriksson
Ericsson
Stockholm 164 83
Sweden
Email: anders.e.eriksson@ericsson.com
Ari Keranen
Ericsson
Jorvas 02420
Finland
Email: ari.keranen@ericsson.com
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