TY - GEN
T1 - Impact of battery degradation on optimal management policies of harvesting-based wireless sensor devices
AU - Michelusi, Nicolo
AU - Badia, Leonardo
AU - Carli, Ruggero
AU - Corradini, Luca
AU - Zorzi, Michele
PY - 2013
Y1 - 2013
N2 - Harvesting-Based Wireless Sensor Devices are increasingly being deployed in today's sensor networks, due to their demonstrated advantages in terms of prolonged lifetime and autonomous operation. However, irreversible degradation mechanisms jeopardize battery lifetime, calling for intelligent management policies, which minimize the impact of these phenomena while guaranteeing a minimum Quality of Service (QoS). This paper explores a mathematical characterization of harvesting-based battery-powered sensor devices, focusing on the impact of the battery discharge policy on the irreversible degradation of the storage capacity. A general framework based on Markov chains which captures the battery degradation process is proposed. Based on such model, it is shown that a degradation-aware policy significantly improves the lifetime of the sensor compared to 'greedy' operation policies, while guaranteeing the minimum required QoS.
AB - Harvesting-Based Wireless Sensor Devices are increasingly being deployed in today's sensor networks, due to their demonstrated advantages in terms of prolonged lifetime and autonomous operation. However, irreversible degradation mechanisms jeopardize battery lifetime, calling for intelligent management policies, which minimize the impact of these phenomena while guaranteeing a minimum Quality of Service (QoS). This paper explores a mathematical characterization of harvesting-based battery-powered sensor devices, focusing on the impact of the battery discharge policy on the irreversible degradation of the storage capacity. A general framework based on Markov chains which captures the battery degradation process is proposed. Based on such model, it is shown that a degradation-aware policy significantly improves the lifetime of the sensor compared to 'greedy' operation policies, while guaranteeing the minimum required QoS.
KW - Battery management
KW - Energy harvesting
KW - Lifetime estimation
KW - Markov processes
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84883115484&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883115484&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2013.6566841
DO - 10.1109/INFCOM.2013.6566841
M3 - Conference contribution
AN - SCOPUS:84883115484
SN - 9781467359467
T3 - Proceedings - IEEE INFOCOM
SP - 590
EP - 594
BT - 2013 Proceedings IEEE INFOCOM 2013
T2 - 32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013
Y2 - 14 April 2013 through 19 April 2013
ER -