By Joel K. Young
Comparison of the alternatives
Using the criteria defined earlier in Part 1 in this series, Table 1 below illustrates my best
attempt at evaluating the different network approaches.
It is important to note they all do very well in security in that
they have well defined encryption, authentication and authorization
schemes. ZigBee and 6LoWPAN get a slight nod here only in that their
key systems should be easier to implement and a bit more flexible.
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| Table
1. Comparing the wireless mesh alternatives |
With respect to reliability, Point-to-Multipoint takes the biggest
hit because it inherently has a single point of failure. Some schemes
may have frequency agility options while others do not.
Prior to the 2007 standard, Zigbee has a weakness in the frequency
agility area; this is fixed in the 2007 standard along with adding
support for message fragmentation.
The others are similar - Wireless HART is designed to never lose a
message so it gets the nod here while 6LoWPAN does well on the
assumption that the existing TCP/IP protocol suite has class of service
built in. While the AODV-based Digi Mesh has a similar approach to
Wireless HART, it is still somewhat unproven in large deployments.
Power management will no doubt be hotly debated. The nod was given
to Wireless HART and our AODV variant because they both define systems
where all nodes in the network, including routers, can sleep.
Even though sleeping Zigbee end devices are most efficient when it
comes to power, the fact that routers can't sleep bumped the rating
down. Until 6LoWPAN settles on a mesh and power management strategy,
the rating will remain unknown.
The scalability rating follows directly from the question of how big
can the network get and still function. This is where the Zigbee 2007
Pro stack shines. The Cluster-Tree architecture creates a hierarchy
which enables scalability.
Digi's AODV variant and Wireless HART scale well; particularly if
most communication is kept local " however, the networks can tend to
get very slow when they get too big. Finally, point-to-multipoint has
an obvious limitation in the number of nodes that can be attached to
one central point.
The best data mover is no doubt the simplest system - namely
point-to-multipoint. The simple network design means that focus can be
made on short, deterministic latency and high data throughput.
There is a direct trade-off here with power. Wireless HART and Digi
Mesh rate lower here because they are focused on minimizing power and
maximizing reliability " this naturally leads to less deterministic
latency and lower throughput.
I recognize of course, that as a network gets bigger, these two
networks will actually do better; however, this is represented in the
high scalability ratings for these networks. Zigbee fits in the middle
here because the backbone of powered routers can move data very
efficiently " but can get stuck if too many route discoveries are
needed.
<>Cost may end up with the most debate. The ratings here were based
primarily on the view of the cost of available chip set solutions under
the assumption that the right architecture is chosen for the right job.
If not, then the cost ratings go out the window. For example, trying to
deploy a Zigbee solution where battery powered routers are desired
means infrastructure costs will skyrocket. So given this caveat,
point-to-multipoint, Zigbee and Digi Mesh have common costs because
they all use similar chipsets. 6LoWPAN is somewhat unknown " depending
on resource requirements. >
The assumption is that similar to current chipsets can be used
without substantial feature degradation. Wireless HART has a low rating
predominantly because the limited number of suppliers has kept chipset
prices 5X to 10X other solutions and customers have not demanded lower
costs due to primary use on expensive assets in process control
environments. This will most likely change as more competitors enter
the market.
Conclusion
We have traced the architectures of wireless mesh networks and the
respective architectural trade-offs. Each of the Wireless Mesh
Architectures has respective benefits as they optimize on different
components. There is not a one size fits all approach as throughput is
traded off against reliability and power consumption.
Hence, it is important to match the needs of the application to the
capabilities of the network. Further, it is important not to settle for
the wrong network because of fad or hype in the market place.
No doubt many of the conclusions here will be hotly contested by
different network architectural advocates. This is always true where
there are shades of gray in evaluation of different criteria. For
example, had this article been done a year ago, the results will have
looked very different " as they will look different a year from now.
To read Part 1, go to The basics of wireless mesh networking
topologies.
Joel Young has more than 15 years
of experience in developing and managing data and voice communications.
Mr. Young joined Digi International as Vice
President of Engineering in June 2000 and is currently the Vice
President of Research and Development and Chief Technical Officer of
Digi. In his current role, Mr. Young is responsible for research and
development of all of Digi's core products.