ABSTRACT
One of the most widespread and important applications in wireless sensor networks (WSNs) is the continuous data collection, such as monitoring the variety of ambient temperature and humidity. This chapter discusses the related works on data collection techniques for various applications in WSNs. It introduces the image quality assessment approach based on the structural SIMilarity (SSIM). The chapter presents the structure fidelity data collection (SFDC) framework, where a clustering algorithm maximizing the utility of the structure fidelity approach and the nodes scheduling scheme guaranteeing the level of structural fidelity are proposed. Moreover, in order to avoid the structure index instability resulting from the change of the internode relationships, the chapter proposes an adaptive data collection method to adjust the data collection period against the cluster structure deterioration. The chapter discusses the simulation results to verify the correctness of SFDC framework both on energy saving and data fidelity and show the effectiveness of adaptive data collection.
