Hierarchical workflow management in wireless sensor network

  • Authors:

  • Endong Tong;Wenjia Niu;Gang Li;Hui Tang;Ding Tang;Song Ci

  • Affiliations:

  • High Performance Network Laboratory, Institute of Acoustics, Chinese Academy of Science, Beijing, China;High Performance Network Laboratory, Institute of Acoustics, Chinese Academy of Science, Beijing, China;School of Information Technology, Deakin University, Vic, Australia;High Performance Network Laboratory, Institute of Acoustics, Chinese Academy of Science, Beijing, China;High Performance Network Laboratory, Institute of Acoustics, Chinese Academy of Science, Beijing, China;High Performance Network Laboratory, Institute of Acoustics, Chinese Academy of Science, Beijing, China, University of Nebraska-Lincoln, Omaha, NE

  • Venue:
  • PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

To build the service-oriented applications in a wireless sensor network (WSN), the workflow can be utilized to compose a set of atomic services and execute the corresponding pre-designed processes. In general, WSN applications rely closely on the sensor data which are usually inaccurate or even incomplete in the resource-constrained WSN. Then, the erroneous sensor data will affect the execution of atomic services and furthermore the workflows, which form an important part in the bottom-to-up dynamics of WSN applications. In order to alleviate this issue, it is necessary to manage the workflow hierarchically. However, the hierarchical workflow management remains an open and challenging problem. In this paper, by adopting the Bloom filter as an effective connection between the sensor node layer and the upper application layer, a hierarchical workflow management approach is proposed to ensure the QoS of workflow-based WSN application. The case study and experimental evaluations demonstrate the capability of the proposed approach.