Adaptive Duty Cycling in Sensor Networks via Continuous Time Markov Chain Modelling
Conference Proceeding Article
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.
Computer Sciences | Databases and Information Systems | Digital Communications and Networking
Data Management and Analytics
2015 IEEE International Conference on Communications (ICC): 8-12 June 2015, London, United Kingdom
Institute of Electrical and Electronics Engineers (IEEE)
City or Country
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. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3167