B. Rumberg, D. Graham, Spencer Clites, Brandon M. Kelly, M. M. Navidi, Alexander T. Dilello, V. Kulathumani
{"title":"RAMP: accelerating wireless sensor hardware design with a reconfigurable analog/mixed-signal platform","authors":"B. Rumberg, D. Graham, Spencer Clites, Brandon M. Kelly, M. M. Navidi, Alexander T. Dilello, V. Kulathumani","doi":"10.1145/2737095.2737107","DOIUrl":null,"url":null,"abstract":"The requirements of many wireless sensing applications approach, or even exceed, the limited hardware capabilities of energy-constrained sensing platforms. To achieve such demanding requirements, some sensing platforms have included low-power application-specific hardware---at the expense of generality---to pre-process the sensor data for reduction to only the relevant information. While this additional hardware can save power by reducing the activity of the microcontroller and radio, a unique hardware solution is required for each application, which presents an unrealistic burden in terms of design time, cost, and ease of integration. To diminish these burdens, we present a reconfigurable analog/mixed-signal sensing platform in this work. At the hardware-level, this platform consists of a reconfigurable integrated circuit containing many commonly used signal-processing blocks and circuit components that can be connected in any configuration. At the software level, this platform provides a framework for abstracting this underlying hardware. We demonstrate how to quickly develop new applications on this platform, ranging from standard sensor interfacing techniques to more complicated intelligent pre-processing and wake-up detection. We also demonstrate how to integrate this platform with commonly used wireless sensor nodes and embedded-system platforms.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","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/10.1145/2737095.2737107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
The requirements of many wireless sensing applications approach, or even exceed, the limited hardware capabilities of energy-constrained sensing platforms. To achieve such demanding requirements, some sensing platforms have included low-power application-specific hardware---at the expense of generality---to pre-process the sensor data for reduction to only the relevant information. While this additional hardware can save power by reducing the activity of the microcontroller and radio, a unique hardware solution is required for each application, which presents an unrealistic burden in terms of design time, cost, and ease of integration. To diminish these burdens, we present a reconfigurable analog/mixed-signal sensing platform in this work. At the hardware-level, this platform consists of a reconfigurable integrated circuit containing many commonly used signal-processing blocks and circuit components that can be connected in any configuration. At the software level, this platform provides a framework for abstracting this underlying hardware. We demonstrate how to quickly develop new applications on this platform, ranging from standard sensor interfacing techniques to more complicated intelligent pre-processing and wake-up detection. We also demonstrate how to integrate this platform with commonly used wireless sensor nodes and embedded-system platforms.