Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
Energy-aware management for cluster-based sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Power-conservative designs in ad hoc wireless networks
The handbook of ad hoc wireless networks
Power - time optimal algorithm for computing FFT over sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
An integer linear programming-based tool for wireless sensor networks
Journal of Parallel and Distributed Computing
Energy-efficient and scalable group key agreement for large ad hoc networks
PE-WASUN '05 Proceedings of the 2nd ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Exact algorithms for the minimum power symmetric connectivity problem in wireless networks
Computers and Operations Research
A network of sensor-based framework for automated visual surveillance
Journal of Network and Computer Applications
Distributed Mobility Management for Target Tracking in Mobile Sensor Networks
IEEE Transactions on Mobile Computing
Query optimization based on user-specified delay item for wireless sensor networks
IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
Routing for wireless sensor networks lifetime maximisation under energy constraints
Mobility '06 Proceedings of the 3rd international conference on Mobile technology, applications & systems
Low-energy consumption schemes in wireless sensor networks
ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
An Energy-Efficient Query Processing Algorithm for Wireless Sensor Networks
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Energy balancing by combinatorial optimization for wireless sensor networks
WSEAS TRANSACTIONS on COMMUNICATIONS
Hybrid Super/Subthreshold Design of a Low Power Scalable-Throughput FFT Architecture
HiPEAC '09 Proceedings of the 4th International Conference on High Performance Embedded Architectures and Compilers
An Efficient Clustering Protocol with Reduced Energy and Latency for Wireless Sensor Networks
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Rateless packet approach for data gathering wireless sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
Prolonging the lifetime of wireless sensor networks using multi-level clustering and heterogeneity
SEPADS'11 Proceedings of the 10th WSEAS international conference on Software engineering, parallel and distributed systems
Energy awareness tree-based routing protocol for wireless sensor networks
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
EURASIP Journal on Wireless Communications and Networking
Enhancing lifetime of wireless sensor networks using multiple data sinks
International Journal of Sensor Networks
Hybrid super/subthreshold design of a low power scalable-throughput FFT architecture
Transactions on High-Performance Embedded Architectures and Compilers IV
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Wireless microsensor networks lend themselves to trade-offs in energy and quality. In these networks, the individual sensor data per se are not necessarily important to the end user. Rather, it is the combined knowledge of all the sensors that describes what is occurring in the environment. By allowing the algorithms and protocols to adapt the quality of this description, with a corresponding change in energy dissipation, sensor networks can be flexible to the end-user's requirements. In this paper, we provide models for predicting quality and energy and show the advantages of trading off these two parameters. By ensuring that the system operates at a minimum energy for each quality point, the system can achieve both flexibility and energy efficiency, allowing the end-user to maximize system lifetime.