Recently Cisco and Ericsson announced a strategic
partnership to create the networks of the future. Their partnership will lead
to the synergy in developing innovative networks for connecting billions of the
internet of things (IoT) devices considering their complementary efforts in the
IoT innovation activities. Because patents can provide insights regarding the
state of the art and technical details of innovation in a company, one can have
insights regarding the future Cisco + Ericsson IoT networks based on each
company’s patents for the IoT networks.
Cisco is developing the intelligent
autonomous IoT networks exploiting the machine learning (ML). The ML is
concerned with the design and the development of algorithms that take as input
empirical data (such as network statistics and performance indicators), and
recognize complex patterns in these data. In general, these patterns are then
used to make decisions automatically.
US20150195216 illustrates the use of the ML
in order to estimate the behavior of the communication channels based on prediction,
and then, to select the appropriate transmission strategy in the multi-hopping
networks. US20150195192 illustrates the use of the ML in order to predict whether
a network element failure is relatively likely to occur based on the collected
and analyzed network metrics. In response to predicting that a network element
failure is relatively likely to occur, traffic in the network is rerouted in
order to avoid the network element failure before it is likely to occur. US20150195185 illustrates the use of the ML
in order to improve QoS dynamically using selective tracking of packet
retransmissions. US20150188935 illustrates
the use of the ML in order to mitigate the attack. A node that receives network
traffic data predicts a probability that the network nodes are under attack
based on the network traffic data. The node then decide to mitigate a predicted
attack by instructing nodes to forward network traffic on an alternative route
without altering an existing routing topology of the network to reroute network
communication around the nodes under attack.
Machine to Machine (M2M) communications
involve the communication (using wired or wireless means, or a combination of
both) between two machines without human intervention. Ericsson is developing
the seamless M2M networks with high mobility and reduced latency.
US20150319771 illustrates the M2M networking
of the IoT device at low cost that complies with modern cellular communication
standards while having low power consumption.
US20150078327 illustrates the mobility-based radio resource assignment
methods. US20150305054 illustrates the method
for power optimized transmission scheduling in an energy harvesting M2M
device. US20150249901 illustrates the
M2M services enablement architecture using a cellular access networks.
Consequently, the future Cisco + Ericsson IoT
networks will connect billions of the IoT devices with the capability of
autonomous management of the networks, high mobility and reduced latency for
various IoT applications.
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