On the limits of effective hybrid micro-energy harvesting on mobile CRFID sensors

摘要: Mobile sensing is difficult without power. Emerging Computational RFIDs (CRFIDs) provide both and general-purpose computation batteries--instead relying on small capacitors charged by energy harvesting. CRFIDs have form factors consume less than traditional sensor motes. However, yet to see widespread use because of limited autonomy the propensity for frequent power loss as a result necessarily that serve microcontroller's supply. Our results show hybrid harvesting CRFIDs, which an ambient micro-harvester, can complete variety useful workloads--even in environment with little available.Our contributions include (1) benchmarks demonstrating micro-harvesting from sources enables greater range read rate, well autonomous operation (2) measurement study stresses limits effective diverse workloads, (3) application studies demonstrate benefits (4) trace-driven simulator model evaluate expected behavior CRFID different capacitor sizes operating under varying conditions mobility solar triple communication CRFID, quadruple achieve 95% uptime RAM retention mode despite long periods low light.