Resource Optimization in Satellite-Based Internet of Things

Abstract

To realize the full potential of Internet of Things (IoT) for supporting anytime, anywhere high-quality wireless sensing or cyber-physical operations, especially when deployed in remote and isolated areas, the ability to adopt satellite-enabled IoT is one of the critical success factors. When IoT devices are equipped with satellite communication capabilities, the typical fully distributed topology model of IoT networks should be reconsidered. Besides, high energy efficiency scheme is needed to address the growing bandwidth demand of IoT assets. In this paper, we propose a resource optimization method in satellite-based IoT to address inter-cell interference and to maximize transmission capacity for the whole IoT networks. We formulate the stochastic distribution of numerous IoT terminals in satellite-oriented topology by introducing the mathematics model of Poisson point process so as to achieve the statistical probability of nodes' distance to the terrestrial fusion center. An optimal power allocation optimization objective is then attained. Due to the complexity of the objective function, we adopt a pattern search method to achieve the globally optimal solution for power allocation. Furthermore, numerical results are provided to verify the performances of our proposed method in terms of energy efficiency.