Energy efficient design of wireless sensor nodes

Authors:
Vijay Raghunathan;Curt Schurgers;Sung Park;Mani B. Srivastava
Affiliations:
Department of Electrical Engineering, University of California Los Angeles;Department of Electrical and Computer Engineering, University of California San Diego;Raytheon Inc., Los Angeles;Department of Electrical Engineering, University of California Los Angeles
Venue:
Wireless sensor networks
Year:
2004

Citing 20
Cited 0

Instruction level power analysis and optimization of software

Journal of VLSI Signal Processing Systems - Special issue on technologies for wireless computing
Low power error control for wireless links

MobiCom '97 Proceedings of the 3rd annual ACM/IEEE international conference on Mobile computing and networking
The simulation and evaluation of dynamic voltage scaling algorithms

ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Pulsed battery discharge in communication devices

MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Next century challenges: scalable coordination in sensor networks

MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Next century challenges: mobile networking for “Smart Dust”

MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Algorithmic transforms for efficient energy scalable computation

ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
JouleTrack: a web based tool for software energy profiling

Proceedings of the 38th annual Design Automation Conference
Geography-informed energy conservation for Ad Hoc routing

Proceedings of the 7th annual international conference on Mobile computing and networking
Span: An energy-efficient coordination algorithm for topology maintenance in Ad Hoc wireless networks

Proceedings of the 7th annual international conference on Mobile computing and networking
Architecture strategies for energy-efficient packet forwarding in wireless sensor networks

ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Modulation scaling for Energy Aware Communication Systems

ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Energy efficient Modulation and MAC for Asymmetric RF Microsensor Systems

ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Battery capacity measurement and analysis using lithium coin cell battery

ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Distributed assignment of encoded MAC addresses in sensor networks

MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Dynamic Power Management: Design Techniques and CAD Tools

Dynamic Power Management: Design Techniques and CAD Tools
PicoRadio Supports Ad Hoc Ultra-Low Power Wireless Networking

Computer
A scheduling model for reduced CPU energy

FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Energy-Efficient Communication Protocol for Wireless Microsensor Networks

HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Adaptive Power-Fidelity in Energy-Aware Wireless Embedded Systems

RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium

Quantified Score

Hi-index	0.00

Visualization

Abstract

The battery driven nature of wireless sensor networks, combined with the need for operational lifetimes of months to years, mandates that energy efficiency be treated as a metric of utmost priority while designing these distributed sensing systems. This chapter presents an overview of energy-centric sensor node design techniques that enable designers to significantly extend system and network lifetime. Such extensions to battery life can only be obtained by eliminating energy inefficiencies from all aspects of the sensor node, ranging from the hardware platform to the operating system, network protocols, and application software.