Image Processing Based Services for Ambient Assistant Scenarios
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Optimal sleep/wake scheduling for time-synchronized sensor networks with QoS guarantees
IEEE/ACM Transactions on Networking (TON)
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-aware data processing techniques for wireless sensor networks: a review
Transactions on large-scale data- and knowledge-centered systems III
Energy efficient MAC protocol with reducing redundant packet mechanism in wireless sensor networks
AsiaSim'04 Proceedings of the Third Asian simulation conference on Systems Modeling and Simulation: theory and applications
Effects of storage architecture on performance of sensor network queries
ICOIN'06 Proceedings of the 2006 international conference on Information Networking: advances in Data Communications and Wireless Networks
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We propose a power efficient system architecture that exploitsthe characteristics of sensor networks in order to decreasethe power consumption in the network. The primarycharacteristic of sensor networks is that the destination ofall the data packets in the network is a central data collectorand this central data collector, which is usually denotedas access point(AP), has unlimited transmission power andenergy whereas the sensor nodes have one battery energyto remain alive for several years. Our system uses the APto directly synchronize and explicitly schedule the nodes'transmissions over Time Division Multiple Access(TDMA)time slots. Simulations performed in TOSSIM, a simulationenvironment for TinyOS, show that the battery lifetime ofthe network with this scheme can be increased to 1-2 yearsfrom 10 days that can be obtained from a general randomaccess network.