Title :
Distributed Sampling Rate Control for Rechargeable Sensor Nodes with Limited Battery Capacity
Author :
Yongmin Zhang ; Shibo He ; Jiming Chen ; Youxian Sun ; Shen, Xuemin Sherman
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
Energy harvesting is a promising technology for extending the lifetime of battery-powered sensor networks. Due to time variations of harvested energy, one of the main challenging issues is to maximize the uninterrupted sampling rates of all sensor nodes, which represents the network performance. Most of existing works do not consider the limited capacity of rechargeable battery. In this paper, we are concerned with how to adaptively decide the sampling rate for each rechargeable sensor node with a limited battery capacity to maximize the overall network performance. To solve this problem, we firstly propose an adaptive Energy Allocation sCHeme (EACH) for each sensor node to manage its energy use in an efficient way. Then we develop a Distributed Sampling Rate Control (DSRC) algorithm to obtain the optimal sampling rate. Furthermore, an Improved adaptive Energy Allocation sCHeme (IEACH) is proposed to reduce the impact due to imprecise estimation of harvested energy. Extensive simulations using real experimental data obtained from Baseline Measurement System (BMS) of Solar Radiation Research Laboratory are conducted to demonstrate the efficiency of the proposed algorithms.
Keywords :
distributed algorithms; distributed control; energy harvesting; secondary cells; telecommunication control; telecommunication power supplies; wireless sensor networks; BMS; DSRC algorithm; EACH; IEACH; adaptive energy allocation scheme; baseline measurement system; battery-powered sensor networks; distributed sampling rate control algorithm; energy harvesting; harvested energy estimation; improved adaptive energy allocation scheme; limited battery capacity; rechargeable battery; rechargeable sensor nodes; uninterrupted sampling rates; wireless sensor networks; Rechargeable sensor networks; energy allocation; limited battery capacity; sampling rate control;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2013.050613.121698