Brandon M. Kelly, B. Rumberg, D. Graham, V. Kulathumani, Spencer Clites, Alexander T. Dilello, M. M. Navidi
{"title":"RAMP:通过可重构的模拟/混合信号平台加速无线传感器硬件设计","authors":"Brandon M. Kelly, B. Rumberg, D. Graham, V. Kulathumani, Spencer Clites, Alexander T. Dilello, M. M. Navidi","doi":"10.1145/2737095.2737129","DOIUrl":null,"url":null,"abstract":"To meet the demanding requirements in the growing area of wireless sensing applications, some sensing platforms have included low-power application-specific hardware to process the sensor data for compression and pre-classification of the relevant information. While this additional hardware can reduce the overall power consumption of the system, a unique hardware solution is required for each application. To diminish this burden, we will demonstrate a reconfigurable analog/mixed-signal sensing platform. At the hardware-level, this platform consists of a reconfigurable integrated circuit containing many commonly used circuit components that can be connected in any configuration to perform sensor interfacing and ultra-low-power signal processing. At the software level, this platform provides a framework for abstracting the underlying hardware. We will demonstrate how our platform allows a developer to create applications ranging from standard sensor interfacing techniques to more complicated intelligent pre-processing and wake-up detection, without the necessity of circuit-level expertise.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"RAMP: accelerating wireless sensor hardware design with a reconfigurable analog/mixed-signal platform\",\"authors\":\"Brandon M. Kelly, B. Rumberg, D. Graham, V. Kulathumani, Spencer Clites, Alexander T. Dilello, M. M. Navidi\",\"doi\":\"10.1145/2737095.2737129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To meet the demanding requirements in the growing area of wireless sensing applications, some sensing platforms have included low-power application-specific hardware to process the sensor data for compression and pre-classification of the relevant information. While this additional hardware can reduce the overall power consumption of the system, a unique hardware solution is required for each application. To diminish this burden, we will demonstrate a reconfigurable analog/mixed-signal sensing platform. At the hardware-level, this platform consists of a reconfigurable integrated circuit containing many commonly used circuit components that can be connected in any configuration to perform sensor interfacing and ultra-low-power signal processing. At the software level, this platform provides a framework for abstracting the underlying hardware. We will demonstrate how our platform allows a developer to create applications ranging from standard sensor interfacing techniques to more complicated intelligent pre-processing and wake-up detection, without the necessity of circuit-level expertise.\",\"PeriodicalId\":318992,\"journal\":{\"name\":\"Proceedings of the 14th International Conference on Information Processing in Sensor Networks\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 14th International Conference on Information Processing in Sensor Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2737095.2737129\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2737095.2737129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RAMP: accelerating wireless sensor hardware design with a reconfigurable analog/mixed-signal platform
To meet the demanding requirements in the growing area of wireless sensing applications, some sensing platforms have included low-power application-specific hardware to process the sensor data for compression and pre-classification of the relevant information. While this additional hardware can reduce the overall power consumption of the system, a unique hardware solution is required for each application. To diminish this burden, we will demonstrate a reconfigurable analog/mixed-signal sensing platform. At the hardware-level, this platform consists of a reconfigurable integrated circuit containing many commonly used circuit components that can be connected in any configuration to perform sensor interfacing and ultra-low-power signal processing. At the software level, this platform provides a framework for abstracting the underlying hardware. We will demonstrate how our platform allows a developer to create applications ranging from standard sensor interfacing techniques to more complicated intelligent pre-processing and wake-up detection, without the necessity of circuit-level expertise.