Vivek D. Tovinakere, O. Sentieys, Steven Derrien, Christophe Huriaux
{"title":"Low Power Reconfigurable Controllers for Wireless Sensor Network Nodes","authors":"Vivek D. Tovinakere, O. Sentieys, Steven Derrien, Christophe Huriaux","doi":"10.1109/FCCM.2014.68","DOIUrl":null,"url":null,"abstract":"A key concern in the design of controllers in wireless sensor network (WSN) nodes is the flexibility to execute different control tasks involving sensing, communications and computational resources of the node. In this paper, low power flexible controllers for WSN nodes based on reconfigurable microtasks composed of an FSM and datapath are presented. Coarse grain power gating opportunities are exploited in FSM and datapath for low power operation in reconfigurable microtasks. Power estimation results on typical benchmark microtasks show a 2× to 5× improvement in energy efficiency w.r.t a microcontroller at a cost of 5× relative to a microtask implemented as an ASIC with higher NRE costs.","PeriodicalId":246162,"journal":{"name":"2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2014.68","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A key concern in the design of controllers in wireless sensor network (WSN) nodes is the flexibility to execute different control tasks involving sensing, communications and computational resources of the node. In this paper, low power flexible controllers for WSN nodes based on reconfigurable microtasks composed of an FSM and datapath are presented. Coarse grain power gating opportunities are exploited in FSM and datapath for low power operation in reconfigurable microtasks. Power estimation results on typical benchmark microtasks show a 2× to 5× improvement in energy efficiency w.r.t a microcontroller at a cost of 5× relative to a microtask implemented as an ASIC with higher NRE costs.