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    • 2. 发明授权
    • Multiscale approach to predictable wireless networking
    • US10757719B2
    • 2020-08-25
    • US15846871
    • 2017-12-19
    • Wayne State University
    • Hongwei Zhang
    • H04W72/12H04Q9/00G08C17/02H04W84/18
    • A distributed sensing and control network includes a plurality of sensing/control nodes, each of the sensing/control nodes includes a sensor, a local controller, a local memory and a wireless transmitter/receiver. The local memory stores instructions for implementing a multiscale networking protocol for wireless transmissions. The multiscale networking protocol controls at least a first factor at a first timescale and at least a second factor at a second timescale, distinct from the first timescale. The at least a first factor includes an instantiated physical-ratio-K (PRK) interference model for wireless transmissions. The at least a second factor includes at least one of a channel assignment, a node transmission signal power control, a node transmission rate control, a real-time scheduling control, and a local signal map stored in the local memory. Wherein the local signal map, together with instantiated physical-ratio-K (PRK) interference models, defines an interference relationship between a sensing/control node storing the local signal map and each other sensing/control node of the plurality of sensing/control nodes within an exclusion region of the sensing/control node storing the local signal map.
    • 3. 发明申请
    • MULTISCALE APPROACH TO PREDICTABLE WIRELESS NETWORKING
    • US20180176933A1
    • 2018-06-21
    • US15846871
    • 2017-12-19
    • Wayne State University
    • Hongwei Zhang
    • H04W72/12
    • H04W72/1226G08C17/02H04Q9/00H04W84/18
    • A distributed sensing and control network includes a plurality of sensing/control nodes, each of the sensing/control nodes includes a sensor, a local controller, a local memory and a wireless transmitter/receiver. The local memory stores instructions for implementing a multiscale networking protocol for wireless transmissions. The multiscale networking protocol controls at least a first factor at a first timescale and at least a second factor at a second timescale, distinct from the first timescale. The at least a first factor includes an instantiated physical-ratio-K (PRK) interference model for wireless transmissions. The at least a second factor includes at least one of a channel assignment, a node transmission signal power control, a node transmission rate control, a real-time scheduling control, and a local signal map stored in the local memory. Wherein the local signal map, together with instantiated physical-ratio-K (PRK) interference models, defines an interference relationship between a sensing/control node storing the local signal map and each other sensing/control node of the plurality of sensing/control nodes within an exclusion region of the sensing/control node storing the local signal map.
    • 5. 发明申请
    • MULTISCALE APPROACH TO PREDICTABLE WIRELESS NETWORKING
    • US20210029721A1
    • 2021-01-28
    • US16931815
    • 2020-07-17
    • Wayne State University
    • Hongwei Zhang
    • H04W72/12H04W52/18
    • A distributed sensing and control network includes a plurality of sensing/control nodes, each of the sensing/control nodes includes a sensor, a local controller, a local memory and a wireless transmitter/receiver. The local memory stores instructions for implementing a multiscale networking protocol for wireless transmissions. The multiscale networking protocol controls at least a first factor at a first timescale and at least a second factor at a second timescale, distinct from the first timescale. The at least a first factor includes an instantiated physical-ratio-K (PRK) interference model for wireless transmissions. The at least a second factor includes at least one of a channel assignment, a node transmission signal power control, a node transmission rate control, a real-time scheduling control, and a local signal map stored in the local memory. Wherein the local signal map, together with instantiated physical-ratio-K (PRK) interference models, defines an interference relationship between a sensing/control node storing the local signal map and each other sensing/control node of the plurality of sensing/control nodes within an exclusion region of the sensing/control node storing the local signal map.
    • 6. 发明授权
    • Multiscale approach to predictable wireless networking
    • US11388736B2
    • 2022-07-12
    • US16931815
    • 2020-07-17
    • Wayne State University
    • Hongwei Zhang
    • H04W72/12H04Q9/00G08C17/02H04W52/18H04W84/18
    • A distributed sensing and control network includes a plurality of sensing/control nodes, each of the sensing/control nodes includes a sensor, a local controller, a local memory and a wireless transmitter/receiver. The local memory stores instructions for implementing a multiscale networking protocol for wireless transmissions. The multiscale networking protocol controls at least a first factor at a first timescale and at least a second factor at a second timescale, distinct from the first timescale. The at least a first factor includes an instantiated physical-ratio-K (PRK) interference model for wireless transmissions. The at least a second factor includes at least one of a channel assignment, a node transmission signal power control, a node transmission rate control, a real-time scheduling control, and a local signal map stored in the local memory. Wherein the local signal map, together with instantiated physical-ratio-K (PRK) interference models, defines an interference relationship between a sensing/control node storing the local signal map and each other sensing/control node of the plurality of sensing/control nodes within an exclusion region of the sensing/control node storing the local signal map.