DocumentCode :
652262
Title :
Power Management Support to Optimal Duty-Cycling in Stateful Multitasking WSN
Author :
Brandolese, C. ; Fornaciari, William ; Rucco, L.
Author_Institution :
DEIB, Politec. di Milano, Milan, Italy
fYear :
2013
fDate :
16-18 July 2013
Firstpage :
1123
Lastpage :
1132
Abstract :
The present work proposes a power management infrastructure for WSN, with support for heterogeneous, concurrent applications that need to preserve their status during deep-idle periods. There are two main original contributions: i) the definition and implementation of an integrated and general power management infrastructure, transparent to the end user and supporting heterogeneous concurrent applications, ii) a rigorous model for the optimal choice of the power management policy, considering also set points at the lowest possible power state (power-off) with no memory retention. The power management infrastructure is based on the framework proposed in a previous work and this paper details the architecture and the interaction of its core modules. The whole system has been implemented on a prototype version of the PoliNode infrastructure and Miosix operating system. Results show energy gain up to 98%, varying with the period and size of the applications.
Keywords :
operating systems (computers); telecommunication computing; telecommunication power management; wireless sensor networks; Miosix operating system; PoliNode infrastructure; optimal duty-cycling; power management infrastructure; stateful multitasking WSN; wireless sensor network; Data communication; Data processing; Hardware; Microcontrollers; Operating systems; Sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2013 12th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/TrustCom.2013.136
Filename :
6680957
Link To Document :
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