Optimization process and system for a heterogeneous ad hoc Network

• US 8,520,535 B2
• Filed: 05/31/2007
• Issued: 08/27/2013
• Est. Priority Date: 05/31/2007
• Status: Active Grant

• Current Assignee: Globalfoundries US Incorporated (GlobalFoundries, Inc.)
• Original Assignee: International Business Machines Corporation
• Inventors: Dawson, Christopher J., Finn, Peter G., Hamilton, Rick A. II, Li, Jenny S.
• Primary Examiner(s): Hsu, Alpus H
• Assistant Examiner(s): LAM, YEE F
• Application Number:
  US11/755,811
• Publication Number:
  US 20080298314A1
• Time in Patent Office: 2,280 Days
• Field of Search: 370/252, 370/238, 370/338, 709/203, 709/223, 709/241
• US Class Current: 370/252
• CPC Class Codes: H04W 48/16 Discovering, processing access restriction or access information
• CPC Class Codes: H04W 48/18 Selecting a network or a communication service
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks

Abstract

Method and system for optimizing selection of a network. The method includes identifying available lenders and existing networks within a vicinity of a borrower, selecting an optimization technique for completing a task of the borrower, calculating, for a plurality of network options, a value for completing the borrower'"'"'s task according to the optimization technique, and selecting an optimum network option to complete the borrower'"'"'s task. The plurality of network options includes forming a heterogeneous network composed of both a peer-to-peer network and a multiplexed network.

Claims

1. A method, comprising:

identifying available lenders and existing networks within a vicinity of a borrower;

selecting an optimization technique for completing a task of the borrower;

calculating, for a plurality of network options, a value for completing the borrower'"'"'s task according to the optimization technique; and

selecting an optimum network option to complete the borrower'"'"'s task,

wherein the plurality of network options includes forming a heterogeneous network composed of both a peer-to-peer network and a multiplexed network,

wherein the borrower'"'"'s task comprises one of an upload and a download of the at least one file, and

further comprising dividing the at least one file into parts and distributing the parts among the lenders of the selected optimum network option for the one of uploading or downloading, and reassembling the parts of the at least one file after the one of the upload and the download; and

identifying the borrower as a new borrower;

wherein, when the new borrower selects minimizing time as the optimization technique, the method further comprises selecting a number of the available lenders for the calculating, which comprises calculating an amount of time for each network option to complete the borrower'"'"'s task; and

wherein, for the heterogeneous network, the method further comprises;

ranking the number of available lenders according to their available bandwidth;

based on the ranking, assigning lower bandwidth available lenders of the number of available lenders to a multiplexer in a multiplexed bandwidth sharing ad hoc network; and

based on the ranking, assigning the remaining available lenders of the number of available lenders to form a peer-to-peer bandwidth sharing ad hoc network.

2. The method of claim 1, wherein optimization technique comprises at least one of fastest time for completion of task, least expensive completion of task, minimizing risk of drop-offs, and maximizing lender capabilities.

3. The method of claim 1, wherein the plurality of network options further includes joining an existing multiplexed network, joining an existing peer-to-peer network, forming a new multiplexed network, and forming a new peer-to-peer network.

4. The method of claim 1, wherein the new borrower is not currently part of an existing network.

5. The method of claim 1, wherein the network options further include joining an existing multiplexed network, joining an existing peer-to-peer network, forming a new multiplexed network, and forming a new peer-to-peer network, and the calculated amount of time includes a wait time for the existing networks to complete existing tasks.

6. The method of claim 5, further comprising:

comparing each of the calculated amounts of time; and

identifying the optimum network option for selection.

7. The method of claim 1, wherein, when the new borrower selects minimizing cost as the optimization technique, the method further comprises selecting a number of the available lenders for the calculating, which comprises calculating an amount of money for each network option to complete the borrower'"'"'s task.

8. The method of claim 7, wherein the network options further include joining an existing multiplexed network, joining an existing peer-to-peer network, forming a new multiplexed network, and forming a new peer-to-peer network, and the method further comprises comparing each of the calculated amounts of cost and identifying the optimum network option for selection.

9. The method of claim 1, further comprising:

one of forming and joining the selected optimum network option;

performing the borrower'"'"'s task; and

monitoring performance of the selected network option.

10. The method of claim 9, wherein the monitoring of performance of the selected optimum network option comprises determining whether a diminution in performance related to the optimization technique has occurred in the borrower'"'"'s selection of the optimum network option.

11. The method of claim 10, wherein the borrower predefines a percentage value related to an acceptable diminution in performance of the selected optimum network option from that expected when the optimum network option was selected.

12. The method of claim 11, wherein, when the diminution in performance exceeds the predefined percentage value, the method further comprises:

determining how much of the task remains to be completed;

determining, for the plurality of network options, a value for completing the remaining task according to the optimization technique; and

selecting a new optimum network option to complete the remaining task.

13. The method of claim 1, further comprising identifying the borrower as an existing borrower.

14. The method of claim 13, wherein the existing borrower is currently part of an existing network.

15. The method of claim 13, further comprising:

monitoring performance of the selected optimum network option.

16. The method of claim 15, wherein the monitoring of performance of the selected optimum network option comprises determining whether a diminution in performance related to the optimization technique has occurred in the borrower'"'"'s selection of the optimum network option.

17. The method of claim 16, wherein the borrower predefines a percentage value related to an acceptable diminution in performance of the selected optimum network option from that expected when the optimum network option was selected.

18. The method of claim 17, wherein, when the diminution in performance exceeds the predefined percentage value, the method further comprises:

determining how much of the task remains to be completed;

determining, for the plurality of network options, a value for completing the remaining task according to the optimization technique; and

selecting a new optimum network option to complete the remaining task.

19. The method of claim 3, further comprising:

one of forming and joining the selected new optimum network option; and

completing the remaining task.

20. The method of claim 1, wherein the identifying, the selecting an optimization technique, the calculating, and the selecting an optimum network are provided by a service provider on a fee and/or subscription basis.

21. The method of claim 1, wherein a service provider at least one of creates, deploys, maintains, supports an infrastructure for implementing the identifying, the selecting an optimization technique, the calculating, and the selecting an optimum network.

22. The method of claim 1, wherein the identifying, the selecting an optimization technique, the calculating, and the selecting an optimum network are performed in a suitable architecture as part of an ad hoc mobile network.