Attention Inspired Resource Allocation for Heterogeneous Sensors in Internet of Things

Abstract

Internet of things (IoT) is an attractive paradigm for intelligent interconnections among ubiquitous things through physical-cyber-social space (CPSS). During the things' cross-space interactions, heterogeneous sensors establish pervasive sensing during with the mapping from physical objects into the corresponding cyber entities in the cyber space. Such mapping depends on the available system resources, and thus resource allocation becomes challenging for resource-constrained IoT applications. In this chapter, human attention (including sustained attention, selective attention, and divided attention) is considered as limited cognitive resource to establish an attention-aware resource framework in IoT. The consideration of a heterogeneous sensors based IoT system model is built with ubiquitous attributes, and a human attention inspired resource allocation scheme is presented to facilitate the dynamic resource interaction.