Power analysis of embedded software: a first step towards software power minimization
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low-power design
A channel access scheme for large dense packet radio networks
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Low power systems for wireless microsensors
ISLPED '96 Proceedings of the 1996 international symposium on Low power electronics and design
Journal of VLSI Signal Processing Systems - Special issue on the rapid prototyping of application specific signal processors (RASSP) program
Embedded power supply for low-power DSP
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low power electronics and design
Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Radar Array Processing
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
VLSID '00 Proceedings of the 13th International Conference on VLSI Design
Blind beamforming on a randomly distributed sensor array system
IEEE Journal on Selected Areas in Communications
Energy efficient routing with adaptive data fusion in sensor networks
DIALM-POMC '05 Proceedings of the 2005 joint workshop on Foundations of mobile computing
Adaptive Data Fusion for Energy Efficient Routing in Wireless Sensor Networks
IEEE Transactions on Computers
Routing Correlated Data with Fusion Cost in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Method of detecting the sybil attack based on ranging in wireless sensor network
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Expectation aware in-network context processing
Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems
Trusted data fusion by using cellular automata in wireless sensor networks
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
Journal of Network and Computer Applications
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In wireless sensor networks, the goal is to gather information from a large number of sensor nodes and communicate the information to the end-user, all under the constraint of limited energy resources. Network protocols minimize energy by using localized communication and control and by exploiting computation/communication tradeoffs. In addition, data fusion algorithms such as beamforming aggregate data from multiple sources to reduce data redundancy and enhance signal-to-noise ratios, thus further reducing the required communications. We have developed a sensor network system that uses a localized clustering protocol and beamforming data fusion to enable energy-efficient collaboration. We compare the performance of two beamforming algorithms, the Maximum Power and the Least Mean Squares (LMS) beamforming algorithms, using the StrongARM SA-1100 processor. Results show that the LMS algorithm requires less than one-fifth the energy required by the Maximum Power beamforming algorithm with only a 3 dB loss in performance, thus showing that the LMS algorithm is better suited for energy-constrained systems. We explore the energy-scalability of the LMS algorithm, and we propose an energy-quality scalable architecture that incorporates techniques such as variable filter length, variable voltage supply and variable adaptation time.