Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Gate Sizing and Buffer Insertion using Economic Models for Power Optimization
VLSID '04 Proceedings of the 17th International Conference on VLSI Design
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Loosely time-triggered architectures based on communication-by-sampling
EMSOFT '07 Proceedings of the 7th ACM & IEEE international conference on Embedded software
Action coverage formulation for power optimization in body sensor networks
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments
Policy optimization for dynamic power management
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
An efficient low-power buffer insertion with time and area constraints
ICC'10 Proceedings of the 14th WSEAS international conference on Circuits
A greedy buffer allocation algorithm for power-aware communication in body sensor networks
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
A portable, efficient inter-core communication scheme for embedded multicore platforms
Journal of Systems Architecture: the EUROMICRO Journal
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Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological data. The reduction in the power consumption is an important factor to increase the lifetime for such systems and to enhance their wearability through reducing the size of the battery. In this paper, we develop an energy-efficient communication scheme that uses buffers to reduce the number of transmissions among the sensor nodes constrained to limited hardware resources. A direct acyclic graph is used to model the information flow. We define a communication optimization problem and solve it using convex optimization techniques. We present results that support the efficiency of the proposed technique.