System and method for sensor scheduling using fuzzy cognitive maps
First Claim
1. A system for sensor scheduling comprising:
- a plurality of sensors operable to perform one or more tasks;
a processor operable to;
receive one or more missions, wherein each mission comprises an area of interest and one or more tasks to be performed by one or more of the plurality of sensors;
receive one or more environmental conditions associated with a respective mission of the one or more missions, the one or more environmental conditions comprising weather and terrain data for the area of interest of the respective mission;
select, for a respective task of the one or more tasks associated with the respective mission of the one or more missions, one or more of the plurality of sensors to perform the respective task, the selecting based on an output of a fuzzy cognitive map, the fuzzy cognitive map including nodes and weighted links, the nodes and weighted links indicating causal relationships between the one or more environmental conditions and the respective mission, wherein at least one of the nodes is associated with a market-based auction; and
schedule the respective task to be performed by the selected one or more sensors, wherein;
the scheduling is based at least on a value associated with the respective task;
the value associated with the respective task is determined based at least on an options pricing model; and
wherein the options pricing model is based at least on the importance of the respective task to the success of the respective mission and one or more scheduling demands.
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Abstract
A system for sensor scheduling includes a plurality of sensors operable to perform one or more tasks and a processor operable to receive one or more missions and one or more environmental conditions associated with a respective mission. Each mission may include one or more tasks to be performed by one or more of the plurality of sensors. The processor is further operable to select one or more of the plurality of sensors to perform a respective task associated with the respective mission. The processor may also schedule the respective task to be performed by the selected one or more sensors. The scheduling is based at least on a task value that is determined based on an options pricing model. The options pricing model is based at least on the importance of the respective task to the success of the respective mission and one or more scheduling demands.
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Citations
20 Claims
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1. A system for sensor scheduling comprising:
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a plurality of sensors operable to perform one or more tasks; a processor operable to; receive one or more missions, wherein each mission comprises an area of interest and one or more tasks to be performed by one or more of the plurality of sensors; receive one or more environmental conditions associated with a respective mission of the one or more missions, the one or more environmental conditions comprising weather and terrain data for the area of interest of the respective mission; select, for a respective task of the one or more tasks associated with the respective mission of the one or more missions, one or more of the plurality of sensors to perform the respective task, the selecting based on an output of a fuzzy cognitive map, the fuzzy cognitive map including nodes and weighted links, the nodes and weighted links indicating causal relationships between the one or more environmental conditions and the respective mission, wherein at least one of the nodes is associated with a market-based auction; and schedule the respective task to be performed by the selected one or more sensors, wherein; the scheduling is based at least on a value associated with the respective task; the value associated with the respective task is determined based at least on an options pricing model; and wherein the options pricing model is based at least on the importance of the respective task to the success of the respective mission and one or more scheduling demands. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computerized method for sensor scheduling:
- receiving one or more tasks at a computer, wherein the one or more tasks is to be performed by one or more sensors of a plurality of sensors, wherein the one or more tasks is associated with a mission of one or more missions, and wherein the mission of the one or more missions comprises an area of interest;
receiving one or more environmental conditions associated with the mission, the one or more environmental conditions comprising weather and terrain data for the area of interest; selecting, by the computer, one or more sensors of the plurality of sensors to perform a task of the one or more tasks, the selecting based on an output of a fuzzy cognitive map, the fuzzy cognitive map including nodes and weighted links, the nodes and weighted links indicating causal relationships between one or more environmental conditions and the mission, wherein at least one of the nodes is associated with a market-based auction; and scheduling, by the computer, the one or more selected sensors to perform the task, the scheduling based at least on a value associated with the task, wherein the value associated with the task is determined based at least on an options pricing model, and wherein the options pricing model is based at least on the importance of the task to the success of the mission and one or more scheduling demands. - View Dependent Claims (12, 13, 14, 15)
- receiving one or more tasks at a computer, wherein the one or more tasks is to be performed by one or more sensors of a plurality of sensors, wherein the one or more tasks is associated with a mission of one or more missions, and wherein the mission of the one or more missions comprises an area of interest;
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16. Logic embodied in a tangible computer readable medium, the tangible computer readable medium comprising code operable when executed on a processor, to:
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receive one or more missions, wherein each mission comprises an area of interest and one or more tasks to be performed by one or more of a plurality of sensors; receive one or more environmental conditions associated with a respective mission of the one or more missions, the one or more environmental conditions comprising weather and terrain data for the area of interest of the respective mission; select, for a respective task of the one or more tasks associated with the respective mission of the one or more missions, one or more of the plurality of sensors to perform the respective task, the selecting based on an output of a fuzzy cognitive map, the fuzzy cognitive map including nodes and weighted links, the nodes and weighted links indicating causal relationships between the one or more environmental conditions and the respective mission, wherein at least one of the nodes is associated with a market-based auction; and schedule the respective task to be performed by the selected one or more sensors, wherein; the scheduling is based at least on a value associated with the respective task; the value associated with the respective task is determined based at least on an options pricing model; and wherein the options pricing model is based at least on the importance of the respective task to the success of the respective mission and one or more scheduling demands. - View Dependent Claims (17, 18, 19, 20)
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Specification