Adaptive Duty Cycling in Sensor Networks via Continuous Time Markov Chain Modelling
Publication Type
Conference Proceeding Article
Publication Date
6-2015
Abstract
This paper proposes a framework enabling an adaptive duty cycling scheme for sensor networks that takes into account the operating duty cycle of the node, and application-level QoS requirements. We model the system as a Continuous Time Markov Chain (CTMC), and derive analytical expressions for key QoS metrics - such as latency, loss probability and power consumption. We then formulate and solve the optimal operating duty cycle as a non-linear optimization problem, using latency and loss probability as the constraints. Simulation results show that a Markovian duty cycling scheme can outperform periodic duty cycling schemes.
Discipline
Computer Sciences | Databases and Information Systems | Digital Communications and Networking
Publication
2015 IEEE International Conference on Communications (ICC): 8-12 June 2015, London, United Kingdom
First Page
6669
Last Page
6674
ISBN
9781467364324
Identifier
10.1109/ICC.2015.7249388
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
City or Country
Piscataway, NJ
Citation
Chan, Ronald Wai Hong; Zhang, Pengfei; Zhang, Wenyu; Nevat, Ido; VALERA, Alvin Cerdena; and TAN, Hwee Xian.
Adaptive Duty Cycling in Sensor Networks via Continuous Time Markov Chain Modelling. (2015). 2015 IEEE International Conference on Communications (ICC): 8-12 June 2015, London, United Kingdom. 6669-6674.
Available at: https://ink.library.smu.edu.sg/sis_research/3167
Additional URL
http://dx.doi.org/10.1109/ICC.2015.7249388
