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Wireless Sensor Network
A Second-Generation Sensor Network Processor with Application-Driven Memory Optimizations and Out-of-Order Execution* by Banit Agrawal *Paper published in CASES 2005 by U Michigan Group 9/18/2018 Banit UCSB
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Outline Introduction Applications of wireless sensor networks
Wireless Sensor Network (WSN) Architecture WSN’s Microprocessor UMich first generation processor UMich second generation processor Conclusion 9/18/2018 Banit UCSB
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What is wireless sensor network
Wireless Sensor Network (WSN) Network of many small distributed computers for processing the sensor data Usually consists of microprocessor, memory, transceiver, sensing device, battery/energy scavenging unit, etc Resource constrained Everything optimized for low-energy operations 9/18/2018 Banit UCSB
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Current Challenges Energy Conservation Limited Computation/Storage
Scalability Fault-tolerance Routing/Communication Bandwidth Autonomous and Distributed Systems Security 9/18/2018 Banit UCSB
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Applications (1) Health monitoring Environmental Monitoring
Habitat Monitoring Integrated Biology Structural Monitoring Building/Border/Battlefield detection Road/traffic monitoring Health monitoring 9/18/2018 Banit UCSB
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Applications (2) Context-aware computing Automation
Business Applications Supply Chain Management Expired/Damaged Goods Tracking Automatic Checkout Systems Security, surveillance Context-aware computing Automation 9/18/2018 Banit UCSB
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WSN Node Architecture Ref: Energy-Aware Wireless Microsensor Networks
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Berkeley Motes 9/18/2018 Banit UCSB
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Sensoria SGATE hardware
Processor RAM Flash GPS Address/Data Bus DSP Preprocessor Multi- Channel Sensor Interface Analog Front End Imager Module Modular Wireless and Digital Interfaces RF Modem 1 2 Digital I/O 10/100 Ethernet 9/18/2018 Banit UCSB
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UCLA Sensor Nodes 9/18/2018 Banit UCSB
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MIT AMPS 9/18/2018 Banit UCSB
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Intel StarGate 9/18/2018 Banit UCSB
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Harvard’s University (ISCA’05)
Micro Controller Event Processor System Bus Interrupt Power Ctrl Addr/Data SRAM Sensors Radio Message Processor Data Filter Timer 9/18/2018 Banit UCSB
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Berkeley’s Experimental Platform
Telos 4/04 Robust Low Power 250kbps Easy to use Services Networking TinyOS Small microcontroller kB code B data Simple, low-power radio kbps ASK EEPROM (32 KB) Simple sensors WeC 99 “Smart Rock” Rene 11/00 Designed for experimentation sensor boards power boards Mica 1/02 NEST open exp. Platform 128 kB code, 4 kB data 40kbps OOK/ASK radio 512 kB Flash Dot 9/01 Demonstrate scale Mica2 12/02 38.4kbps radio FSK Spec 6/03 “Mote on a chip” Ref: HotChips 2004 – “Mote Evolution…” 9/18/2018 Banit UCSB
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Mote Evolution Ref: HotChips 2004 – “Mote Evolution…” 9/18/2018
Banit UCSB
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WSN’s Microcontroller
AT/ATmega/ATMEL (AVR) Family TI Family Intel XScale StrongARM Harvard’s microcontroller UMich’s first generation processor UMich’s second generation processor 9/18/2018 Banit UCSB
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Processor Requirements
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Not Performance, Energy is important.
Voltage Reduction Not Performance, Energy is important. 9/18/2018 Banit UCSB
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Sensor Network Applications
Representative set to evaluate architecture 9/18/2018 Banit UCSB
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Optimizing Energy Efficiency
Reduce the area to minimize the static power Transistor utility must be maximized CPI must be minimized 9/18/2018 Banit UCSB
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Processor’s Characteristics
12-bit RISC ISA 8-bit datapaths Flexible Operand Handling Application specific instructions Prefetch mechanism Memory Architecture Branch speculation and out-of-order execution 9/18/2018 Banit UCSB
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ISA: RISC Encoding 12-bit RISC encoding simple decoding logic
Reducing code-density and hence area to reduce the leakage energy 96.2% encoding efficiency 9/18/2018 Banit UCSB
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ISA Organization 9/18/2018 Banit UCSB
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ISA Design Load-store architecture Simple to design and pipeline
8 registers Simple to design and pipeline 2-operand based design Preserve bit to save the source Various addressing modes available 9/18/2018 Banit UCSB
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ISA Design (2) Micro-operations Application specific instructions
Efficient pointer and carry manipulation Event scheduler control Timer control Reduction in code-size 9/18/2018 Banit UCSB
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Data memory predecode architecture [May not be useful for pointers]
Memory Optimizations Data memory predecode architecture [May not be useful for pointers] 9/18/2018 Banit UCSB
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Memory Optimizations (2)
Instruction memory predecode architecture 2 words and automatically increment the page when PC reaches the end of page 9/18/2018 Banit UCSB
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Processor pipeline design
3-stage pipeline [optimum, not 4 not 2] 9/18/2018 Banit UCSB
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Microarchitectural Optimizations
Out-of-order execution Taken branch speculation 9/18/2018 Banit UCSB
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Results 9/18/2018 Banit UCSB
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Results: Contributions
Storage unit and other components 9/18/2018 Banit UCSB
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Related Works 8-bit ATmega - 1.5 nJ/instruction
Clever Dust 2 – 12 pJ/instruction StrongARM/XScale - 1nJ/instruction SNAP/LE – 24 pJ/instruction Umich first generation – 1.6 pJ/instruction Umich second generation – 600fJ/instruction 9/18/2018 Banit UCSB
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Conclusion Energy-efficient processor (600 fJ/instruction, will run 312 years on single AAA) Microarchitectural and ISA optimizations to reduce the leakage energy IBM 130nm fabrication Intra-ocular pressure sensor 9/18/2018 Banit UCSB
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Thanks for your attention.
Questions ? 9/18/2018 Banit UCSB
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