Assisted intelligent routing for minimalistic connected object networks

摘要

In one embodiment, a distributed intelligence agent (DIA) collects local state information from a plurality of minimalistic connected objects (MCOs) in a computer network, the local state information for each MCO comprising a corresponding neighbor list and a selected next-hop for the respective MCO, where one or more of the MCOs are configured to select their next-hop without any self-optimization. The DIA may then analyze a current routing topology, which is the combined result of the selected next-hops, in comparison to a computed optimal routing topology, and (optionally) in light of required service level agreement (SLA), to determine whether to optimize the current routing topology. In response to determining that the current routing topology should be optimized, the DIA may transmit a unicast routing instruction to one or more individual MCOs to instruct those individual MCOs how to optimize the current routing topology, accordingly.

主权项

1. A method, comprising:
collecting, by a distributed intelligence agent (DIA), local state information from a plurality of minimalistic connected objects (MCOs) in a computer network, the local state information for each MCO comprising a corresponding neighbor list and a selected next-hop for the respective MCO, wherein one or more of the MCOs are configured to select their next-hop without any self-optimization; analyzing, by the DIA, a current routing topology, which is the combined result of the selected next-hops, in comparison to a computed optimal routing topology to determine whether to optimize the current routing topology; and in response to determining that the current routing topology should be optimized, transmitting a unicast routing instruction from the DIA to one or more individual MCOs to instruct those individual MCOs how to optimize the current routing topology.