When connections fail and parts of the network go down, it can take a long time for operators to diagnose problems and apply fixes. In some cases the issues are simply too complex for any single human to comprehend.
- Ensuring ad-hoc wireless networks in harsh conditions are self-configurable, self-organizing, self-optimizing and self-healing
- Reducing the OODA (observe–orient–decide–act) loop to minimize network planning and set-up to quickly respond to changing conditions or equipment failures
- Minimizing network congestion and providing options for contested situations
- Optimizing network traffic and prioritization
When disaster strikes, networks need to be as self-sustaining as possible so that operators:
- Can connect without issue
- Have sufficient bandwidth for the type of application they are using
- Receive intuitive indicators about how to fix issues quickly
- Have options when links go down or they need to pass on critical information to the right people
- Network operators
- First responders (Fire/Police/Ambulance)
- Disaster relief personnel
- Military personnel
- Homeland security / National Guard
- Communities needing help during a disaster or crisis
Network awareness:
- How many devices are connected to the network?
- How stable are the communication links?
- Is there room for connection improvement?
- Is there interference?
- Which areas of the network are susceptible?
Automating Decisions:
- Which hub should traffic be redirected to?
- Which information needs to be prioritized?
- Who needs information now?
Faster response through learning:
- What diagnostics should be sent to operators?
- Can the time to connectivity be shortened?
- Can re-routing be done faster?
- Can manual network tasks be more automated?
