Convex separable optimization is not much harder than linear optimization
Journal of the ACM (JACM)
Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Receiver-oriented adaptive buffer allocation in credit-based flow control for ATM networks
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 1)-Volume - Volume 1
Providing QoS in Ubiquitous Telemedicine Networks
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Buffer optimization and dispatching scheme for embedded systems with behavioral transparency
EMSOFT '07 Proceedings of the 7th ACM & IEEE international conference on Embedded software
Loosely time-triggered architectures based on communication-by-sampling
EMSOFT '07 Proceedings of the 7th ACM & IEEE international conference on Embedded software
Critical-Path based Low-Energy Scheduling Algorithms for Body Area Network Systems
RTCSA '07 Proceedings of the 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Action coverage formulation for power optimization in body sensor networks
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Proceedings of the Conference on Design, Automation and Test in Europe
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
System-Level Buffer Allocation for Application-Specific Networks-on-Chip Router Design
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Monitoring human movements using wireless sensory devices promises to revolutionize the delivery of health care services. Such platforms use inertial information of their subjects for motion analysis. Potentially, each action or disease can be discovered by collaborative processing of sensor data from multiple locations on the body. This functionality is provided by a Body Sensor Network (BSN), which consists of several wireless sensor nodes positioned on different parts of the body. In spite of the revolutionary potential of this platform, power requirements and wearability have limited the commercialization of these systems. In this paper, we present an energy-efficient communication model for BSN applications which uses buffers to limit communication to short bursts, decreasing power usage and simplifying the communication. We formulate an optimization problem to reduce transmissions among sensor nodes and present an ILP-based solution and a fast greedy heuristic algorithm. We show that despite the decreased transmission efficiency, our greedy algorithm can be adopted for fast allocation of buffers in real-time. We experimentally compare the performance of both of the proposed approaches to the performance of an unbuffered system. Our results demonstrate that ILP and greedy solutions can reduce the amount of transmissions by an average factor of 70 and 41, respectively.