Dron, Wilfried and Duquennoy, Simon and Voigt, Thiemo and Hachicha, Khalil and Garda, Patrick (2014) An Emulation-based Method for Lifetime Estimation of Wireless Sensor Networks. In: International Conference on Distributed Computing in Sensor Systems (IEEE DCOSS 2014).
Lifetime estimation in Wireless Sensor Networks (WSN) is crucial to ensure that the network will last long enough (low maintenance cost) while not being over-dimensioned (low initial cost). Existing solutions have at least one of the two following limitations: (1) they are based on theoretical models or high-level protocol implementations, overlooking low-level (e.g., hardware, driver, etc.) constraints which we ﬁnd have a signiﬁcant impact on lifetime, and (2) they use an ideal battery model which over-estimates lifetime due to its constant voltage and its inability to model the non-linear properties of real batteries. We introduce a method for WSN lifetime estimation that operates on compiled ﬁrmware images and models the complex behavior of batteries. We use the MSPSim/Cooja node emulator and network simulator to run the application in a cycle-accurate manner and log all component states. We then feed the log into our lifetime estimation framework, which models the nodes and their batteries based on both technical and experimental speciﬁcations. In a case study of a Contiki RPL/6LoWPAN application, we identify and resolve several low-level implementation issues, thereby increasing the predicted network lifetime from 134 to 484 days. We compare our battery model to the ideal battery model and to the lifetime estimation based on the radio duty cycle, and ﬁnd that there is an average over-estimation of 36% and 76% respectively.
|Item Type:||Conference or Workshop Item (Paper)|
|Deposited By:||Simon Duquennoy|
|Deposited On:||09 Jun 2014 17:03|
|Last Modified:||09 Jun 2014 17:03|
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