Sensor Scheduling Algorithms for Extending Battery Life in a Sensor Node

Qian ZHAO  Yukikazu NAKAMOTO  Shimpei YAMADA  Koutaro YAMAMURA  Makoto IWATA  Masayoshi KAI  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E96-A    No.6    pp.1236-1244
Publication Date: 2013/06/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E96.A.1236
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Circuit, System, and Computer Technologies)
sensor node,  battery life,  scheduling algorithm,  real-time constraint,  

Full Text: PDF(1.4MB)>>
Buy this Article

Wireless sensor nodes are becoming more and more common in various settings and require a long battery life for better maintainability. Since most sensor nodes are powered by batteries, energy efficiency is a critical problem. In an experiment, we observed that when peak power consumption is high, battery voltage drops quickly, and the sensor stops working even though some useful charge remains in the battery. We propose three off-line algorithms that extend battery life by scheduling sensors' execution time that is able to reduce peak power consumption as much as possible under a deadline constraint. We also developed a simulator to evaluate the effectiveness of these algorithms. The simulation results showed that one of the three algorithms dramatically can extend battery life approximately three time as long as in simultaneous sensor activation.