Definitions
Imprecise Computation (IC) model (Liu et al. 1994) considers that a task can be logically decomposed into a mandatory subtask and an optional subtask. The mandatory subtask should be completed before the task’s deadline in order to generate the minimum acceptable Quality of Service (QoS). The optional subtask is to be executed after the mandatory subtask, and still before the deadline, if there are resources in the system that are free to execute the optional subtask. The longer the optional subtask is executed, the better is the QoS of the obtained result.
Historical Background
Wireless Sensor Networks (WSNs) consist of a large number of wireless sensor nodes that have the capability to take various measurements of their environment. These measurements could be temperature, sound, vibration, pressure, motion, etc. Energy efficiency and real-time executionare critical and challenging issues for the...
This is a preview of subscription content, log in via an institution.
References
Aydin H, Melhem R, Mosse D (2000) Tolerating faults while maximizing reward. In: IEEE Euromicro conference on real-time systems (EMRTS), IEEE pp 219–226
Aydin H, Melhem R, Mosse D, Mejia-Alvarez P (2001) Optimal reward-based scheduling for periodic real-time tasks. IEEE Trans Comput 50(2):111–130
Chen G, Huang K, Knoll A (2014) Energy optimization for real-time multiprocessor system-on-chip with optimal DVFS and DPM combination. ACM Trans Embed Comput Syst 13(3):1–21
Cortes LA, Eles P, Peng Z (2006) Quasi-static assignment of voltages and optional cycles in imprecise computation systems with energy considerations. IEEE Trans Very Large Scale Integr Syst 14(10):1117–1129
Dhasian HR, Balasubramanian P (2013) Survey of data aggregation techniques using soft computing in wireless sensor networks. IET Inf Secur 7(4):336–342
Esch J (2013) A survey on topology control in wireless sensor networks: taxonomy, comparative study, and open issues. Proc IEEE 101(12):2534–2537
Isabel M, Javier O, Rodrigo S, Paula Z (2017) Energy-aware scheduling mandatory/optional tasks in multicore real-time systems. Int Trans Oper Res 24(12):173–198
Kong F, Yi W, Deng Q (2011) Energy-efficient scheduling of real-time tasks on cluster-based multicores. In: ACM/IEEE design, automation test in Europe (DATE), IEEE pp 1–6
Lai X, Ji X, Zhou X, Chen L (2018) Energy efficient link-delay aware routing in wireless sensor networks. IEEE Sensors J 18(2):837–848
Leung LF, Tsui CY, Ki WH (2003) Simultaneous task allocation, scheduling and voltage assignment for multiple-processors-core systems using mixed integer nonlinear programming. In: IEEE international symposium on circuits and systems (ISCAS), IEEE pp 309–312
Li D, Wu J (2015) Minimizing energy consumption for frame-based tasks on heterogeneous multiprocessor platforms. IEEE Trans Parallel Distrib Syst 26(3):810–823
Liu JWS, Shih WK, Lin KJ, Bettati R, Chung JY (1994) Imprecise computations. Proc IEEE 82(1):83–94
Liu X, Zhou H, Xiang J, Xiong S, Hou KM, de Vaulx C, Wang H, Shen T, Wang Q (2018) Energy and delay optimization of heterogeneous multicore wireless multimedia sensor nodes by adaptive genetic-simulated annealing algorithm. Wirel Commun Mob Comput 2018:1–13
Mahmood A, Khan SA, Albalooshi F, Awwad N (2017) Energy-aware real-time task scheduling in multiprocessor systems using a hybrid genetic algorithm. Electronics 6(2):40
Mo L, Kritikakou A, Sentieys O (2017) Decomposed task mapping to maximize QoS in energyconstrained real-time multicores. In: IEEE international conference on computer design (ICCD), IEEE pp 493–500
Mo L, Cao X, Song Y, Kritikakou A (2018a) Distributed node coordination for real-time energyconstrained control in wireless sensor and actuator networks. IEEE Internet Things, IEEE J:1–12. https://doi.org/10.1109/JIOT.2018.2839030
Mo L, Kritikakou A, Sentieys O (2018b) Controllable QoS for imprecise computation tasks on DVFS multicores with time and energy constraints. IEEE J Emerg Sel Topics Circuits, IEEE Syst:1–14. https://doi.org/10.1109/JETCAS.2018.2852005
Munir A, Gordon-Ross A, Ranka S (2014) Multi-core embedded wireless sensor networks: architecture and applications. IEEE Trans Parallel Distrib Syst 25(6):1553–1562
Silva R, Silva JS, Boavida F (2014) Mobility in wireless sensor networks: a survey and proposal. Comput Commun 52:1–20
Tchamgoue GM, Kim KH, Jun YK, Lee WY (2013) Compositional real-time scheduling framework for periodic reward-based task model. J Syst Softw 86(6):1712–1724
Wei T, Zhou J, Cao K, Cong P et al (2017) Cost-constrained QoS optimization for approximate computation real-time tasks in heterogeneous MPSoCs. IEEE Trans Comput-Aided Des Integr Circuits Syst 1(1):1–14
Xu H, Kong F, Deng Q (2012) Energy minimizing for parallel real-time tasks based on level-packing. In: IEEE international conference on embedded and real-time computing systems and applications (RTCSA), IEEE pp 98–103
Yu H, Veeravalli B, Ha Y (2008) Dynamic scheduling of imprecise-computation tasks in maximizing QoS under energy constraints for embedded systems. In: IEEE Asia and South Pacific design automation conference (ASP-DAC), IEEE pp 452–455
Yu H, Ha Y, Veeravalli B (2013a) Quality-driven dynamic scheduling for real-time adaptive applications on multiprocessor systems. IEEE Trans Comput, IEEE 62(10):2026–2040
Yu H, Veeravalli B, Ha Y, Luo S (2013b) Dynamic scheduling of imprecise-computation tasks on real-time embedded multiprocessors. In: IEEE international conference on computational science and engineering (CSE), IEEE pp 770–777
Zhou J, Yan J, Wei T, Chen M, Hu XS (2017) Energy-adaptive scheduling of imprecise computation tasks for QoS optimization in real-time MPSoC systems. In: ACM/IEEE design, automation test in Europe (DATE), IEEE pp 1402–1407
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this entry
Cite this entry
Mo, L., Kritikakou, A., Sentieys, O. (2019). Imprecise Computation Task Mapping on Multi-Core Wireless Sensor Networks. In: Shen, X., Lin, X., Zhang, K. (eds) Encyclopedia of Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-32903-1_261-1
Download citation
DOI: https://doi.org/10.1007/978-3-319-32903-1_261-1
Received:
Accepted:
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32903-1
Online ISBN: 978-3-319-32903-1
eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering