Energy-efficient task allocation for data fusion in Wireless Sensor Networks

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.