An energy sentient methodology for sensor mapping and selection in IoT systems

This paper presents an energy sentient methodology for mapping and deploying IoT applications on sensor devices installed in a target environment. The deployment decision support is part of the WuKong intelligent middleware which is designed to automatically discover and manage smart sensor devices. Given a pre-defined flow-based service process, WuKong will select and set up the most efficient configuration for the application using the service-oriented paradigm. The sensor selection methodology reported in this paper is to minimize the total communication energy consumption and to balance the energy costs on all devices in order to increase the system lifetime. We define the service collocation problem model, develop algorithms based on the Integer Linear Programming (ILP) model, and study the algorithm performance by simulation.