Title :
Communication Energy Aware Sensor Selection in IoT Systems
Author :
Zhenqiu Huang ; Kwei-Jay Lin ; Congmiao Li ; Sen Zhou
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, Irvine, CA, USA
Abstract :
To prolong the IoT system lifetime, a system should minimize the energy comsumption on devices. The RF communication energy cost is dependent on the communication distance. This paper presents a communication distance aware methodology for mapping and deploying IoT applications on sensor devices in a physical environment. Given a flow-based service process, WuKong will select and set up the most efficient configuration for the process. The sensor selection methodology reported in this paper takes the communication distance into consideration in order to minimize the communication energy consumption. We define a quadratic programming based problem model, and present algorithms based on the Integer Linear Programming (ILP) model. We show the algorithm performance by simulation.
Keywords :
Internet of Things; integer programming; linear programming; quadratic programming; sensor placement; telecommunication power management; wireless sensor networks; IoT systems; RF communication energy cost; Wukong project; communication distance aware method; communication energy aware sensor selection; flow based service process; integer linear programming; problem model; quadratic programming; Energy consumption; Internet of things; Middleware; Object oriented modeling; Programming; Quadratic programming; Sensors; Energy Optimization; Integer Linear Programming; Internet of Things; Quadratic Programming; Sensor Mapping; Wireless Sensor Network;
Conference_Titel :
Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
Print_ISBN :
978-1-4799-5967-9
DOI :
10.1109/iThings.2014.42