Voltage-Clock Scaling for Low Energy Consumption in Real-Time Embedded Systems
RTCSA '99 Proceedings of the Sixth International Conference on Real-Time Computing Systems and Applications
Sampling Frequency, Signal Resolution and the Accuracy of Wearable Context Recognition Systems
ISWC '04 Proceedings of the Eighth International Symposium on Wearable Computers
Energy Scavenging for Mobile and Wireless Electronics
IEEE Pervasive Computing
Low Power Platform for Wireless Sensor Network
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Workshops - Volume 02
Maximizing the functional lifetime of sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Maximizing system lifetime in wireless sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
An efficient solar energy harvester for wireless sensor nodes
Proceedings of the conference on Design, automation and test in Europe
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04
A Solar-powered Video Sensor Node for Energy Efficient Multimodal Surveillance
DSD '08 Proceedings of the 2008 11th EUROMICRO Conference on Digital System Design Architectures, Methods and Tools
Energy-constrained collaborative processing for target detection, tracking, and geolocation
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
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Wireless Video Sensor Networks (WVNs) are lively interest in the research community as flexible means for monitoring isolated areas. WVN effectiveness can be augmented when coupled with a network of low-power, low-cost Pyroelectric InfraRed (PIR) detectors to form a multimodal surveillance system. Autonomy is a key issue as battery replacement is often impractical and even using energy scavenging techniques, such as solar harvester, ad-hoc power management policies are essential to extend network lifetime. In this paper we propose a cooperative policy to manage power consumption of a WVN powered by solar scavengers and supported by a network of PIR sensors that perform a coarse classification of movements. A cost function is calculated by each VSN according to its available energy and information from the PIR network. Such functions are used by a distributed energy aware policy that selects the best VSN to observe the activity. This VSN locally analyzes the image and detects whether or not it represents a person, and only this information is forwarded to users. The effectiveness of this technique is evaluated through simulation and compared to an approach presented in previous work. Results show an increase in system lifetime without any loss in people detection ratio.