Understanding digital subscriber line technology
Understanding digital subscriber line technology
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
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
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
A Mobile Sensor Network Using Autonomously Controlled Animals
BROADNETS '04 Proceedings of the First International Conference on Broadband Networks
Wireless Sensor Network for Aircraft Health Monitoring
BROADNETS '04 Proceedings of the First International Conference on Broadband Networks
State-Driven Energy Optimization in Wireless Sensor Networks
ICW '05 Proceedings of the 2005 Systems Communications
CoLaNet: A Cross-Layer Design of Energy-Efficient Wireless Sensor Networks
ICW '05 Proceedings of the 2005 Systems Communications
Grouping Strategy for Solving Hidden Node Problem in IEEE 802.15.4 LR-WPAN
WICON '05 Proceedings of the First International Conference on Wireless Internet
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
SNR gap approximation for M-PSK-Based bit loading
IEEE Transactions on Wireless Communications
A Cross-Layer Strategy for Energy-Efficient Reliable Delivery in Wireless Sensor Networks
IEEE Transactions on Wireless Communications
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
Durability of wireless networks of battery-powered devices
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
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We consider the problem of minimizing transmission energy in wireless sensor networks by taking into account that every sensor may require a different bit rate and reliability according to its particular application. We propose a cross-layer approach to tackle such a minimization in centralized networks for the total transmission energy consumption of the network: in the physical layer, for each sensor the sink estimates the channel gain and adaptively selects a modulation scheme; in the MAC layer, each sensor is correspondingly assigned a number of time slots. The modulation level and the number of allocated time slots for every sensor are constrained to attain their applications bit rates in a global energy-efficient manner. The signal-to-noise ratio gap approximation is used in our exposition in order to jointly handle required bit rates, transmission energies, and symbol error rates.