Connecting to a fixed network using an extensible drone-based, dynamic network

Patent metadata

Field	Value
Publication number	US-2023337329-A1
Application number	US-202318211719-A
Country	US
Kind code	A1
Filing date	Jun 20, 2023
Priority date	Mar 3, 2020
Publication date	Oct 19, 2023
Grant date	—

Abstract

A method for dynamic and extensible creation of an extensible wireless network, using a set of drones that individually support server processes. The drones interact with one another, exchanging information, type of coverage, type and amount of throughput, location, etc. A control node connects to a wired network. The node operates a leader election protocol, captures state information from the drones, and positions/re-positions the drones as necessary. Drones are flown in to position and then engaged as necessary to stretch/adapt the coverage as necessary. The drone's power utilization is monitored and its coverage area modified as necessary to optimize power utilization. The control node performs drone-based coverage/power utilization computations, and attempts to apply the appropriate location assignments to provide maximum network coverage (extensibility) while also preserving drone-specific power (battery) utilization. The approach herein can be used to supplement existing networks during events, migrations of populations during work hours, etc.

First claim

1 . A method of networking, comprising:
positioning a first drone at a first position of an extensible mesh network, the first drone having a first computational or storage capability; positioning a second drone at a second position of the extensible mesh network, the second drone having a second computational or storage capability, wherein as between the first and second drones, the first computational or storage capability is larger than the second computational or storage capability; executing a positioning algorithm that positions one or more drones in addition to the first and second drones into the extensible mesh network, wherein the positioning algorithm attempts to balance an optimal coverage area of the extensible mesh network, a power utilization for each of the drones, and a desired quality-of-service; and performing a first task on the first drone, and performing a second task on the second drone, wherein as between the first and second tasks, the first task has a higher requirement for computation or storage.

2 . The method as described in claim 1 wherein the first task is a task associated with processing or delivery of a video to a requesting client.

3 . The method as described in claim 1 further including coupling the extensible mesh network to a wired network.

4 . The method as described in claim 3 wherein the wired network is the publicly-routable Internet.

5 . The method as described in claim 1 wherein the extensible mesh network is created on-the-fly in response to a given occurrence.

6 . The method as described in claim 1 wherein the extensible mesh network provides network coverage to an area that is not serviced by a terrestrial wired network.

7 . The method as described in claim 1 further including reconfiguring the extensible mesh network dynamically upon a given occurrence.

8 . A method of networking, comprising:
configuring a first portion of an extensible mesh network using a first set of drones and according to a positioning algorithm that attempts to balance an optimal coverage network of the first portion of the extensible mesh network, a power utilization for each of the drones in the first set of drones, and a desired first quality-of-service; configuring a second portion of the extensible mesh network using a second set of drones and according to the positioning algorithm that attempts to balance an optimal coverage network of the second portion of the extensible mesh network, a power utilization for each of the drones in the second set of drones, and a desired second quality-of-service; and wherein the first and second portions of the extensible mesh networks are configured and controlled independently of one another.

Assignees

• Akamai Tech Inc

Inventors

• Kanitkar Vinay

Classifications

• H04W84/18 Primary

  Self-organising networks, e.g. ad-hoc networks or sensor networks · CPC title

• H04W40/12

  based on transmission quality or channel quality · CPC title

• H04W16/18

  Network planning tools · CPC title

• B64C39/024

  of the remote controlled vehicle type, i.e. RPV · CPC title

• H04L43/0888 Primary

  Throughput · CPC title