logging in or signing up F1 micropower Sigfrid Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 373 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 25, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Wireless Embedded Systems and Networking Foundations of IP-based Ubiquitous Sensor Networks Micro-Power Systems : Wireless Embedded Systems and Networking Foundations of IP-based Ubiquitous Sensor Networks Micro-Power Systems David E. Culler University of California, Berkeley Arch Rock Corp. July 13, 2007Micro-Power System Architecture: Micro-Power System Architecture Evaluation Metrics Effsolar = Pon / PmaxP Effsystem = (EL1+ … + ELn + Econs) / EsolAn Example: An Example Solar energy scavenging system for Telos Super capacitors buffer energy Lithium rechargeable battery as a backup Uses MCU to manage charge cycles to extend system lifetime Manage limited recharges Simple, carefully developed design Redesigned for TRIO deployment Boosting and current limiting Developed reactive power management software architecture Demonstrated in REALITY Prometheus Design estimates Perpetual Environmentally Powered Sensor Networks, Jiang, Polastre, Culler, IPSN/SPOTS, 2005 Facts: Facts E = P * TEnergy Storage: Energy Storage Energy and Power Density: Energy and Power Density Battery Chemistry: Battery Chemistry Energy Stroage: Energy Stroage Requirements: Lifetime, Capacity, Current draw, Size/Weight Types of storage: NiMH: capacity and cost Li+: energy density and capacity Supercap: lifetime Storage configuration: Combination of battery and supercap provides good lifetime as well as capacity. Charging mechanisms: HW vs. SW, Complexity vs. EfficiencyThe Load: The Load Load (Sensor Node):Estimating Node Consumption: Load (Sensor Node): Estimating Node Consumption Energy consumption with radio comm: Iest = R*Iawake + (1-R) * IsleepThe Ambient Source: The Ambient Source Solar Vibration Movement Flow Heat transferExternal Environment:Estimating Solar Radiation: External Environment: Estimating Solar Radiation Statistical Model Mathematical Model Solar Collector:Solar-cell Characteristics: Solar Collector: Solar-cell Characteristics Solar-cell I-V curve RegulatorCharging to Energy Storage Element: Charging to Energy Storage Element Supercap for primary, lithium-ion for secondary. Reduces battery charging frequency. Software-controlled battery charging. Unlike other batteries, Li+ battery should be charged only when there is sufficient charge in the supercap. Pros: Simple hardware: micro-controller, DC-DC converter, analog switch. Cons: Requires correct software for charging control.Consideration of other types of storage element: Consideration of other types of storage element Battery is needed during overcast days. Supercap-only method doesn’t have sufficient capacity. Comparison of charging efficiency is not available yet.Comparative Study:Solar-Collector Operation: Comparative Study: Solar-Collector Operation Compare Pon with PmaxP solar-cell operating point maximum possible value Trio Pon – PmaxP = 4.83mW (5.3%) Heliomote Pon – PmaxP = -16.75mW (-23.2%)Comparative Study:Energy flow and efficiency: Comparative Study: Energy flow and efficiency Compare mote consumption (Econs) and stored energy (Ebat and Ecap) with solar energy income (Esol). Trio: up to 33.4%, Heliomote: up to 14.6% Solar-Collector Operation: Trio: Solar-Collector Operation: Trio Solar-Collector Operation: Heliomote: Solar-Collector Operation: Heliomote Energy flow and efficiency (Heliomote)- Energy loss due to regulator: Energy flow and efficiency (Heliomote) - Energy loss due to regulator Solar energy income: 08:00 to 17:00. Clipped after 12:00. Two-third loss in daily energy income. Related Work on Solar Powered Sensor Network: Related Work on Solar Powered Sensor Network Trio [DHJ+06] Real deployment of large sensor nodes. Multi-hop routing. Operate only for several hours with full radio cycle. Other Previous Works RF transmit beacon [ROC+03], Prometheus [JPC05] Heliomote [RKH+05], ZebraNet [ZSLM04]Energy Management Architecture: Energy Management Architecture You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
F1 micropower Sigfrid Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 373 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 25, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Wireless Embedded Systems and Networking Foundations of IP-based Ubiquitous Sensor Networks Micro-Power Systems : Wireless Embedded Systems and Networking Foundations of IP-based Ubiquitous Sensor Networks Micro-Power Systems David E. Culler University of California, Berkeley Arch Rock Corp. July 13, 2007Micro-Power System Architecture: Micro-Power System Architecture Evaluation Metrics Effsolar = Pon / PmaxP Effsystem = (EL1+ … + ELn + Econs) / EsolAn Example: An Example Solar energy scavenging system for Telos Super capacitors buffer energy Lithium rechargeable battery as a backup Uses MCU to manage charge cycles to extend system lifetime Manage limited recharges Simple, carefully developed design Redesigned for TRIO deployment Boosting and current limiting Developed reactive power management software architecture Demonstrated in REALITY Prometheus Design estimates Perpetual Environmentally Powered Sensor Networks, Jiang, Polastre, Culler, IPSN/SPOTS, 2005 Facts: Facts E = P * TEnergy Storage: Energy Storage Energy and Power Density: Energy and Power Density Battery Chemistry: Battery Chemistry Energy Stroage: Energy Stroage Requirements: Lifetime, Capacity, Current draw, Size/Weight Types of storage: NiMH: capacity and cost Li+: energy density and capacity Supercap: lifetime Storage configuration: Combination of battery and supercap provides good lifetime as well as capacity. Charging mechanisms: HW vs. SW, Complexity vs. EfficiencyThe Load: The Load Load (Sensor Node):Estimating Node Consumption: Load (Sensor Node): Estimating Node Consumption Energy consumption with radio comm: Iest = R*Iawake + (1-R) * IsleepThe Ambient Source: The Ambient Source Solar Vibration Movement Flow Heat transferExternal Environment:Estimating Solar Radiation: External Environment: Estimating Solar Radiation Statistical Model Mathematical Model Solar Collector:Solar-cell Characteristics: Solar Collector: Solar-cell Characteristics Solar-cell I-V curve RegulatorCharging to Energy Storage Element: Charging to Energy Storage Element Supercap for primary, lithium-ion for secondary. Reduces battery charging frequency. Software-controlled battery charging. Unlike other batteries, Li+ battery should be charged only when there is sufficient charge in the supercap. Pros: Simple hardware: micro-controller, DC-DC converter, analog switch. Cons: Requires correct software for charging control.Consideration of other types of storage element: Consideration of other types of storage element Battery is needed during overcast days. Supercap-only method doesn’t have sufficient capacity. Comparison of charging efficiency is not available yet.Comparative Study:Solar-Collector Operation: Comparative Study: Solar-Collector Operation Compare Pon with PmaxP solar-cell operating point maximum possible value Trio Pon – PmaxP = 4.83mW (5.3%) Heliomote Pon – PmaxP = -16.75mW (-23.2%)Comparative Study:Energy flow and efficiency: Comparative Study: Energy flow and efficiency Compare mote consumption (Econs) and stored energy (Ebat and Ecap) with solar energy income (Esol). Trio: up to 33.4%, Heliomote: up to 14.6% Solar-Collector Operation: Trio: Solar-Collector Operation: Trio Solar-Collector Operation: Heliomote: Solar-Collector Operation: Heliomote Energy flow and efficiency (Heliomote)- Energy loss due to regulator: Energy flow and efficiency (Heliomote) - Energy loss due to regulator Solar energy income: 08:00 to 17:00. Clipped after 12:00. Two-third loss in daily energy income. Related Work on Solar Powered Sensor Network: Related Work on Solar Powered Sensor Network Trio [DHJ+06] Real deployment of large sensor nodes. Multi-hop routing. Operate only for several hours with full radio cycle. Other Previous Works RF transmit beacon [ROC+03], Prometheus [JPC05] Heliomote [RKH+05], ZebraNet [ZSLM04]Energy Management Architecture: Energy Management Architecture