Research Article
Energy-efficient task allocation for data fusion in Wireless Sensor Networks
@INPROCEEDINGS{10.4108/ICST.MOBIQUITOUS2009.6877, author={Li Zhigang and Li Shining and Zhou Xingshe and Yang Zhiyi}, title={Energy-efficient task allocation for data fusion in Wireless Sensor Networks}, proceedings={3rd International ICST Workshop on Information Fusion and Dissemination in Wireless Sensor Networks}, publisher={IEEE}, proceedings_a={SENSORFUSIONS}, year={2009}, month={11}, keywords={wireless sensor networks task graph task assignment 0-1 quadraticprogramming}, doi={10.4108/ICST.MOBIQUITOUS2009.6877} }- Li Zhigang
Li Shining
Zhou Xingshe
Yang Zhiyi
Year: 2009
Energy-efficient task allocation for data fusion in Wireless Sensor Networks
SENSORFUSIONS
IEEE
DOI: 10.4108/ICST.MOBIQUITOUS2009.6877
Abstract
Data fusion or In-network processing methods were often adopted in Wireless Sensor Networks (WSNs) to reduce data communication and prolong network lifetime, which made WSNs application can be described as a set of tasks (sensing, processing) and dependencies among them. Task assignment has become an important problem which needed to be resolved for different tasks assignment caused different energy consumption. Based on the task graph of WSNs, an energy-efficient task assignment framework was proposed. As application task can be decomposed into sensing subtasks and processing subtasks, we present the task assignment as sensing subtask assignment and processing subtask assignment. We formulate the processing subtask assignment as a 0-1 quadratic programming problem and evaluate it through experiments.
